Author: Jono Bergquist

Modern software development is complex to say the least. Vulnerabilities often lurk within the vast networks of dependencies that underpin applications. A typical scenario involves a simple app.go source file that is underpinned by a sprawling tree of external libraries and frameworks (check the go.mod file for the receipts). As developers incorporate these dependencies into their applications, the security risks escalate, often surpassing the complexity of the original source code. This real-world challenge highlights a critical concern: the hidden vulnerabilities that are magnified by the dependencies themselves, making the task of securing software increasingly daunting.

Addressing this challenge requires reimagining software supply chain security through a different lens. In a recent webinar with the famed Kelsey Hightower, he provides an apt analogy to help bring the sometimes opaque world of security into focus for a developer. Software security can be thought of as just another test in the software testing suite. And the system that manages the tests and the associated metadata is a data pipeline. We’ll be exploring this analogy in more depth in this blog post and by the end we will have created a bridge between developers and security.

The Problem: Modern software is built on a tower

Modern software is built from a tower of libraries and dependencies that increase the productivity of developers but with these boosts comes the risks of increased complexity. Below is a simple ‘ping-pong’ (i.e., request-response) application written in Go that imports a single HTTP web framework:

package main

import (
	"net/http"

	"github.com/gin-gonic/gin"
)

func main() {
	r := gin.Default()
	r.GET("/ping", func(c *gin.Context) {
		c.JSON(http.StatusOK, gin.H{
			"message": "pong",
		})
	})
	r.Run()
}

With this single framework comes a laundry list of dependencies that are needed in order to work. This is the go.mod file that accompanies the application:

module app

go 1.20

require github.com/gin-gonic/gin v1.7.2

require (
	github.com/gin-contrib/sse v0.1.0 // indirect
	github.com/go-playground/locales v0.13.0 // indirect
	github.com/go-playground/universal-translator v0.17.0 // indirect
	github.com/go-playground/validator/v10 v10.4.1 // indirect
	github.com/golang/protobuf v1.3.3 // indirect
	github.com/json-iterator/go v1.1.9 // indirect
	github.com/leodido/go-urn v1.2.0 // indirect
	github.com/mattn/go-isatty v0.0.12 // indirect
	github.com/modern-go/concurrent v0.0.0-20180228061459-e0a39a4cb421 // indirect
	github.com/modern-go/reflect2 v0.0.0-20180701023420-4b7aa43c6742 // indirect
	github.com/ugorji/go/codec v1.1.7 // indirect
	golang.org/x/crypto v0.0.0-20200622213623-75b288015ac9 // indirect
	golang.org/x/sys v0.0.0-20200116001909-b77594299b42 // indirect
	gopkg.in/yaml.v2 v2.2.8 // indirect
)

The dependencies for the application end up being larger than the application source code. And in each of these dependencies is the potential for a vulnerability that could be exploited by a determined adversary. Kelsey Hightower summed this up well, “this is software security in the real world”. Below is an example of a Java app that hides vulnerabile dependencies inside the frameworks that the application is built off of.

As much as we might want to put the genie back in the bottle, the productivity boosts of building on top of frameworks are too good to reverse this trend. Instead we have to look for different ways to manage security in this more complex world of software development.

If you’re looking for a solution to the complexity of modern software vulnerability management, be sure to take a look at the Anchore Enterprise platform and the included container vulnerability scanner.

The Solution: Modeling software supply chain security as a data pipeline

Software supply chain security is a meta problem of software development. The solution to most meta problems in software development is data pipeline management. 

Developers have learned this lesson before when they first build an application and something goes wrong. In order to solve the problem they have to create a log of the error. This is a great solution until you’ve written your first hundred logging statements. Suddenly your solution has become its own problem and a developer becomes buried under a mountain of logging data. This is where a logging (read: data) pipeline steps in. The pipeline manages the mountain of log data and helps developers sift the signal from the noise.

The same pattern emerges in software supply chain security. From the first run of a vulnerability scanner on almost any modern software, a developer will find themselves buried under a mountain of security metadata. 

$ grype dir:~/webinar-demo/examples/app:v2.0.0

 ✔ Vulnerability DB                [no update available]  
 ✔ Indexed file system                                                                            ~/webinar-demo/examples/app:v2.0.0
 ✔ Cataloged contents                                                         889d95358bbb68b88fb72e07ba33267b314b6da8c6be84d164d2ed425c80b9c3
   ├── ✔ Packages                        [16 packages]  
   └── ✔ Executables                     [0 executables]  
 ✔ Scanned for vulnerabilities     [11 vulnerability matches]  
   ├── by severity: 1 critical, 5 high, 5 medium, 0 low, 0 negligible
   └── by status:   11 fixed, 0 not-fixed, 0 ignored 

NAME                      INSTALLED                           FIXED-IN                           TYPE          VULNERABILITY        SEVERITY 
github.com/gin-gonic/gin  v1.7.2                              1.7.7                              go-module     GHSA-h395-qcrw-5vmq  High      
github.com/gin-gonic/gin  v1.7.2                              1.9.0                              go-module     GHSA-3vp4-m3rf-835h  Medium    
github.com/gin-gonic/gin  v1.7.2                              1.9.1                              go-module     GHSA-2c4m-59x9-fr2g  Medium    
golang.org/x/crypto       v0.0.0-20200622213623-75b288015ac9  0.0.0-20211202192323-5770296d904e  go-module     GHSA-gwc9-m7rh-j2ww  High      
golang.org/x/crypto       v0.0.0-20200622213623-75b288015ac9  0.0.0-20220314234659-1baeb1ce4c0b  go-module     GHSA-8c26-wmh5-6g9v  High      
golang.org/x/crypto       v0.0.0-20200622213623-75b288015ac9  0.0.0-20201216223049-8b5274cf687f  go-module     GHSA-3vm4-22fp-5rfm  High      
golang.org/x/crypto       v0.0.0-20200622213623-75b288015ac9  0.17.0                             go-module     GHSA-45x7-px36-x8w8  Medium    
golang.org/x/sys          v0.0.0-20200116001909-b77594299b42  0.0.0-20220412211240-33da011f77ad  go-module     GHSA-p782-xgp4-8hr8  Medium    
log4j-core                2.15.0                              2.16.0                             java-archive  GHSA-7rjr-3q55-vv33  Critical  
log4j-core                2.15.0                              2.17.0                             java-archive  GHSA-p6xc-xr62-6r2g  High      
log4j-core                2.15.0                              2.17.1                             java-archive  GHSA-8489-44mv-ggj8  Medium

All of this from a single innocuous include statements to your favorite application framework. 

Again the data pipeline comes to the rescue and helps manage the flood of security metadata. In this blog post we’ll step through the major functions of a data pipeline customized for solving the problem of software supply chain security.

Modeling SBOMs and vulnerability scans as unit tests

I like to think of security tools as just another test. A unit test might test the behavior of my code. I think this falls in the same quality bucket as linters to make sure you are following your company’s style guide. This is a way to make sure you are following your company’s security guide.

Kelsey Hightower

This idea from renowned developer, Kelsey Hightower is apt, particularly for software supply chain security. Tests are a mental model that developers utilize on a daily basis. Security tooling are functions that are run against your application in order to produce security data about your application rather than behavioral information like a unit test. The first two foundational functions of software supply chain security are being able to identify all of the software dependencies and to scan the dependencies for known existing vulnerabilities (i.e., ‘testing’ for vulnerabilities in an application). 

This is typically accomplished by running an SBOM generation tool like Syft to create an inventory of all dependencies followed by running a vulnerability scanner like Grype to compare the inventory of software components in the SBOM against a database of vulnerabilities. Going back to the data pipeline model, the SBOM and vulnerability database are the data sources and the vulnerability report is the transformed security metadata that will feed the rest of the pipeline.

$ grype dir:~/webinar-demo/examples/app:v2.0.0 -o json

 ✔ Vulnerability DB                [no update available]  
 ✔ Indexed file system                                                                            ~/webinar-demo/examples/app:v2.0.0
 ✔ Cataloged contents                                                         889d95358bbb68b88fb72e07ba33267b314b6da8c6be84d164d2ed425c80b9c3
   ├── ✔ Packages                        [16 packages]  
   └── ✔ Executables                     [0 executables]  
 ✔ Scanned for vulnerabilities     [11 vulnerability matches]  
   ├── by severity: 1 critical, 5 high, 5 medium, 0 low, 0 negligible
   └── by status:   11 fixed, 0 not-fixed, 0 ignored 

{
 "matches": [
  {
   "vulnerability": {
    "id": "GHSA-h395-qcrw-5vmq",
    "dataSource": "https://github.com/advisories/GHSA-h395-qcrw-5vmq",
    "namespace": "github:language:go",
    "severity": "High",
    "urls": [
     "https://github.com/advisories/GHSA-h395-qcrw-5vmq"
    ],
    "description": "Inconsistent Interpretation of HTTP Requests in github.com/gin-gonic/gin",
    "cvss": [
     {
      "version": "3.1",
      "vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:N",
      "metrics": {
       "baseScore": 7.1,
       "exploitabilityScore": 2.8,
       "impactScore": 4.2
      },
      "vendorMetadata": {
       "base_severity": "High",
       "status": "N/A"
      }
     }
    ],
    . . . 

This was previously done just prior to pushing an application to production as a release gate that would need to be passed before software could be shipped. As unit tests have moved forward in the software development lifecycle as DevOps principles have won the mindshare of the industry, so has security testing “shifted left” in the development cycle. With self-contained, open source CLI tooling like Syft and Grype, developers can now incorporate security testing into their development environment and test for vulnerabilities before even pushing a commit to a continuous integration (CI) server.

From a security perspective this is a huge win. Security vulnerabilities are caught earlier in the development process and fixed before they come up against a delivery due date. But with all of this new data being created, the problem of data overload has led to a different set of problems.

Vulnerability overload; Uncovering the signal in the noise

Like the world of application logs that came before it, at some point there is so much information that an automated process generates that finding the signal in the noise becomes its own problem.

How Anchore Enterprise manages SBOMs and vulnerability scans

Centralized management of SBOMs and vulnerability scans can end up being a massive headache. No need to come up with your own storage and data management solution. Just configure the AnchoreCTL CLI tool to automatically submit SBOMs and vulnerability scans as you run them locally. Anchore Enterprise stores all of this data for you.

On top of this, Anchore Enterprise offers data analysis tools so that you can search and filter SBOMs and vulnerability scans by version, build stage, vulnerability type, etc.

Combining local developer tooling with centralized data management creates a best of both worlds environment where engineers can still get their tasks done locally with ease but offload the arduous management tasks to a server.

Added benefit, SBOM drift detection

Another benefit of distributed SBOM generation and vulnerability scanning is that this security check can be run at each stage of the build process. It would be ideal to believe that the software that is written on in a developers local environment always makes it through to production in an untouched, pristine state but this is rarely the case.

Running SBOM generation and vulnerability scanning at development, on the build server, in the artifact registry, at deploy and during runtime will create a full picture of where and when software is modified in the development process and simplify post-incident investigations or even better catch issues well before they make it to a production environment.

This historical record is a feature provided by Anchore Enterprise called Drift Detection. In the same way that an HTTP cookie creates state between individual HTTP requests, Drift detection is security metadata about security metadata (recursion, much?) that allows state to be created between each stage of the build pipeline.  Being the central store for all of the associated security metadata makes the Anchore Enterprise platform the ideal location to aggregate and scan for these particular anomalies.

Policy as a lever

Being able to filter through all of the noise created by integrating security checks across the software development process creates massive leverage when searching for a particular issue but it is still a manual process and being a full-time investigator isn’t part of the software engineer job description. Wouldn’t it be great if we could automate some if not the majority of these investigations?

I’m glad we’re of like minds because this is where policy comes into picture. Returning to Kelsey Hightower’s original comparison between security tools as linters, policy is the security guide that is codified by your security team that will allow you to quickly check whether the commit that you put together will meet the standards for secure software.

By running these checks and automating the feedback, developers can quickly receive feedback on any potential security issues discovered in their commit. This allows developers to polish their code before it is flagged by the security check in the CI server and potentially failed. No more waiting on the security team to review your commit before it can proceed to the next stage. Developers are empowered to solve the security risks and feel confident that their code won’t be held up downstream.

Policies-as-code supports existing developer workflows

Anchore Enterprise designed its policy engine to ingest the individual policies as JSON objects that can be integrated directly into the existing software development tooling. Create a policy in the UI or CLI, generate the JSON and commit it directly to the repo.

This prevents the painful context switching of moving between different interfaces for developers and allows engineering and security teams to easily reap the rewards of version control and rollbacks that come pre-baked into tools like version control. Anchore Enterprise was designed by engineers for engineers which made policy-as-code the obvious choice when designing the platform.

Remediation automation integrated into the development workflow

Being able to be alerted when a commit is violating your company’s security guidelines is better than pushing insecure code and waiting for the breach to find out that you forgot to sanitize the user input. Even after you get alerted to a problem, you still need to understand what is insecure and how to fix it. This can be done by trying to Google the issue or starting up a conversation with your security team. But this just ends up creating more work for you before you can get your commit into the build pipeline. What if you could get the answer to how to fix your commit in order to make it secure directly into your normal workflow?

Anchore Enterprise provides remediation recommendations to help create actionable advice on how to resolve security alerts that are flagged by a policy. This helps point developers in the right direction so that they can resolve their vulnerabilities quickly and easily without the manual back and forth of opening a ticket with the security team or Googling aimlessly to find the correct solution. The recommendations can be integrated directly into GitHub Issues or Jira tickets in order to blend seamlessly into the workflows that teams depend on to coordinate work across the organization.

Wrap-Up

From the perspective of a developer it can sometimes feel like the security team is primarily a frustration that only slows down your ability to ship code. Anchore has internalized this feedback and has built a platform that allows developers to still move at DevOps speeds and do so while producing high quality, secure code. By integrating directly into developer workflows (e.g., CLI tooling, CI/CD integrations, source code repository integrations, etc.) and providing actionable feedback Anchore Enterprise removes the traditional roadblock mentality that has typically described the relationship between development and security.

If you’re interested to see all of the features described in this blog post via a hands-on demo, check out the webinar by clicking on the screenshot below and going to the workshop hosted on GitHub.

If you’re looking to go further in-depth with how to build and secure containers in the software supply chain, be sure to read our white paper: The Fundamentals of Container Security.

FedRAMP compliance is hard, not only because there are hundreds of controls that need to be reviewed and verified. On top of this, the controls can be interpreted and satisfied in multiple different ways. It is admirable to see an enterprise achieve FedRAMP compliance from scratch but most of us want to achieve compliance without spending more than a year debating the interpretation of specific controls. This is where turnkey solutions like Anchore Enterprise come in. 

Anchore Enterprise is a cloud-native software composition analysis platform that integrates SBOM generation, vulnerability scanning and policy enforcement into a single platform to provide a comprehensive solution for software supply chain security.

Overview of FedRAMP, who it applies to and the challenges of compliance

FedRAMP, or the Federal Risk and Authorization Management Program, is a federal compliance program that standardizes security assessment, authorization, and continuous monitoring for cloud products and services. As with any compliance standard, FedRAMP is modeled from the “Trust but Verify” security principle. FedRAMP standardizes how security is verified for Cloud Service Providers (CSP).

One of the biggest challenges with achieving FedRAMP compliance comes from sorting through the vast volumes of data that make up the standard. Depending on the level of FedRAMP compliance you are attempting to meet, this could mean complying with 125 controls in the case of a FedRAMP low certification or up to 425 for FedRAMP high compliance.

While we aren’t going to go through the entire FedRAMP standard in this blog post, we will be focusing on the container security controls that are interleaved into FedRAMP.

FedRAMP container security requirements

1) Hardened Images

FedRAMP requires CSPs to adhere to strict security standards for hardened images used by government agencies. The standard mandates that:

• Only essential services and software are included in the images
• Updated with the latest security patches
• Configuration settings meet secure baselines
  • CIS benchmarks or DISA STIGs
• Disabling unnecessary ports and services
• Managing user accounts securely
• Implementing encryption
• Maintaining logging and monitoring practices
• Regular vulnerability scanning and prompt remediation

2) Container Build, Test, and Orchestration Pipelines

FedRAMP sets stringent requirements for container build, test, and orchestration pipelines to protect federal agencies. These include:

• Hardened base images (see above) 
• Automated build processes with integrity checks
• Strict configuration management
• Immutable containers
• Secure artifact management
• Containers security testing
• Comprehensive logging and monitoring

3) Vulnerability Scanning for Container Images

FedRAMP mandates rigorous vulnerability scanning protocols for container images to ensure their security within federal cloud deployments. This includes: 

• Comprehensive scans integrated into CI/CD pipelines 
• Prioritize remediation based on severity
• Re-scanning policy post-remediation 
• Detailed audit and compliance reports 
• Checks against secure baselines (i.e., CIS or STIG)

4) Secure Sensors

FedRAMP requires continuous management of the security of machines, applications, and systems by identifying vulnerabilities. 

• Authorized scanning tools
• Authenticated security scans to simulate threats
• Reporting and remediation
• Scanning independent of developers
• Direct integration with configuration management to track vulnerabilities

5) Registry Monitoring

While not explicitly called out in FedRAMP as either a control or a control family, there is still a requirement that the images stored in a container registry are scanned at least every 30-days if the images are deployed to production.

6) Asset Management and Inventory Reporting for Deployed Containers

FedRAMP mandates thorough asset management and inventory reporting for deployed containers to ensure security and compliance. Organizations must maintain detailed inventories including:

• Container images
• Source code
• Versions
• Configurations 
• Continuous monitoring of container state 

7) Encryption

FedRAMP mandates robust encryption standards to secure federal information, requiring the use of NIST-approved cryptographic methods for both data at rest and data in transit. It is important that any containers that store data or move data through the system meet FIPS standards.

How Anchore helps organizations comply with these requirements

Anchore is the leading software supply chain security platform for meeting FedRAMP compliance. We have helped hundreds of organizations meet FedRAMP compliance by deploying Anchore Enterprise as the solution for achieving container security compliance. Below you can see an overview of how Anchore Enterprise integrates into a FedRAMP compliant environment. For more details on how each of these integrations meet FedRAMP compliance keep reading.

1) Hardened Images

Anchore Enterprise integrates multiple tools in order to meet the FedRAMP requirements for hardened container images. We provide compliance policies that scan specifically for compliance with container hardening standards, such as, STIG and CIS. These tools were custom built to perform the checks necessary to meet the two relevant standards or both!

• Anchore’s Static STIG Checker (SSC) tool
• Anchore’s CIS policy bundle enforces Docker CIS benchmark checks

2) Container Build, Test, and Orchestration Pipelines

Anchore integrates directly into your CI/CD pipelines either the Anchore Enterprise API or pre-built plug-ins. This tight integration meets the FedRAMP standards that require all container images are hardened, all security checks are automated within the build process and all actions are logged and audited. Anchore’s FedRAMP policy specifically checks to make sure that any container in any stage of the pipeline will be checked for compliance.

• Anchore integrates into your CI/CD pipelines
• Anchore’s FedRAMP policy bundle enforces NIST 800-53 controls

3) Vulnerability Scanning for Container Images

Anchore Enterprise can be integrated into each stage of the development pipeline, offer remediation recommendations based on severity (e.g., CISA’s KEV vulnerabilities can be flagged and prioritized for immediate action), enforce re-scanning of containers after remediation and produce compliance artifacts to automate compliance. This is accomplished with Anchore’s container scanner, direction pipeline integration and FedRAMP policy.

4) Secure Sensors

Anchore Enterprise’s container vulnerability scanner and Kubernetes inventory agent are both authorized scanning tools. The container vulnerability scanner is integrated directly into the build pipeline whereas the k8s agent is run in production and scans for non-compliant containers at runtime.

5) Registry Monitoring

Anchore Enterprise is able to scan an artifact registry continuously for potentially non-compliant containers. It is configured to watch each unique image in image registries. It will automatically scan images that get pushed to these registries.

6) Asset Management and Inventory Reporting for Deployed Containers

Anchore Enterprise includes a full software component inventory workflow. It can scan all software components, generate Software Bill of Materials (SBOMs) to keep track of the component and centrally store all SBOMs for analysis. Anchore Enterprises’s Kubernetes inventory agent can perform the same service for the runtime environment.

7) Encryption

Anchore Enterprise Static STIG tool can ensure that all containers are maintaining NIST & FIPS encryption standards. Verifying that containers are encrypting data at-rest and in-transit for each of thousands of containers is a difficult chore but easily automated via Anchore Enterprise.

The benefits of the shift left approach of Anchore Enterprise

Shift compliance left and prevent violations

Detect and remediate FedRAMP compliance violations early in the development lifecycle to prevent production/high-side violations that will threaten your hard earned compliance. Use Anchore’s “developer-bundle” in the integration phase to take immediate action on potential compliance violations. This will ensure vulnerabilities with fixes available and CISA KEV vulnerabilities are addressed before they make it to the registry and you have to report these non-compliance issues.

Below is an example of a workflow in GitLab of how Anchore Enterprise’s SBOM generation, vulnerability scanning and policy enforcement can catch issues early and keep your compliance record clean.

Automate Compliance Reporting

Automate monthly/annual reporting using Anchore’s reporting. Have these reports set up to auto generate based on the compliance reporting needs of FedRAMP.

Manage POA&Ms

Given that Anchore Enterprise centrally stores and manages vulnerability information for an organization, it can also be utilized to manage Plan Of Action & Milestones (POA&Ms) for any portions of the system that aren’t yet FedRAMP compliant but have a planned due date. Using Allowlists in Anchore Enterprise to centrally manage POA&Ms and assessed/justifiable findings.

Prevent Production Compliance Violations

Practice good production registry hygiene by utilizing Anchore Enterprise to scan stored images regularly. Anchore Enterprise’s Kubernetes runtime inventory will identify images that do not meet FedRAMP compliance or have not been used in the last ~7 days (company defined) to remove from your production registry.

Conclusion

Achieving FedRAMP compliance from scratch is an arduous process and not a key differentiator for many organizations. In order to maintain organizational priority on the aspects of the business that differentiate an organization from its competitors, strategic outsourcing of non-core competencies is always a recommended strategy. Anchore Enterprise aims to be that turnkey solution for organizations that want the benefits of FedRAMP compliance without developing the internal expertise, specifically for the container security aspect.

By integrating SBOM generation, vulnerability scanning, and policy enforcement into a single platform, Anchore Enterprise not only simplifies the path to compliance but also enhances overall software supply chain security. Through the deployment of Anchore Enterprise, companies can achieve and maintain compliance more quickly and with greater assurance. If you’re looking for an even deeper look at how to achieve all 7 of the container security requirements of FedRAMP with Anchore Enterprise, read our playbook: FedRAMP Pre-Assessment Playbook For Containers.

The ascent of both containerized applications and open-source software component building blocks has dramatically escalated the complexity of software and the burden of managing all of the associated licenses. Modern applications are often built from a mosaic of hundreds, if not thousands, of individual software components, each bound by its own potential licensing pitfalls. This intricate web of dependencies, akin to a supply chain, poses significant challenges not only for legal teams tasked with mitigating financial risks but also for developers who manage these components’ inventory and compliance.

Previously license management was primarily a manual affair, software wasn’t as complex in the past and more software was proprietary 1st party software that didn’t have the same license compliance issues. These original license management techniques haven’t kept up with the needs of modern, cloud-native application development. In this blog post, we’re going to discuss how automation is needed to address the challenges of continuing to manage licensing risk in modern software.

The Problem

Modern software is complex. This is fairly well known at this point but in case you need a quick visual reminder, we’ve inserted to images to quickly reinforce this idea:

Applications can be constructed from 10s or 100s or even 1000s of individual software components each with their own license for how it can be used. Modern software is so complex that this endlessly nested collection of dependencies are typically referred to as a metaphorical supply chain and there is an entire industry that has grown to provide security solutions for this quagmire called software supply chain security. 

This is a complexity nightmare for legal teams that are tasked with managing the financial risk of an organization. It’s also a nightmare for the developers who are tasked with maintaining an inventory of all of the software dependencies in an organization and the associated license for each component.

Let’s provide an example of how this normally manifests in a software startup. Assuming business is going well, you have a product and there are customers out in the world that are interested in purchasing your software. During the procurement cycle, your customer’s legal team will be tasked with assessing the risk of using your software. In order to create this assessment they will do a number of things and one of them will be to determine if your software is safe from a licensing perspective to use. In order to do this they will normally send over a document that looks like this:

As a software vendor, it will be your job to fill this out so that legal can approve the purchasing of your software and you can take that revenue to the bank.

Let’s say you manually fill this entire spreadsheet out. A developer would need to go through each dependency that is utilized in the software that you sell and “scan” the codebase for all of the licensing metadata. Component name, version number, OSS license (i.e., MIT, GPL, BSD, etc.), etc. It would take some time and be quite tedious but not an insurmountable task. In the end they would produce something like this:

This is great in the world of once-in-a-while deployments and updates. This becomes exhausting in the world of continuous integration/delivery that the DevOps movement has created. Imagine having to produce a new document like this everytime you push to production. DevOps has allowed for some times to push to production multiple times per day.  Requiring that a document is manually created for all of your customers’ legal teams for each release would almost eliminate all of the velocity gains that moving to the DevOps architecture created.

The Solution

The solution to this problem is the automation of the license discovery process. If software can scan your codebase and produce a document that will exhaustively cover all of the building blocks of your application this unlocks the potential to both have your DevOps cake and eat it too.

To this end, Anchore has created and open sourced a tool that does just this.

Introducing Grant: Automated License Discovery

Grant is an open-source command line tool that scans and discovers the software licenses of all dependencies in a piece of open-source software. If you want to get a quick primer on what you can do with Grant, read our announcement blog post. Or if you’re ready to dive straight in, you can view all of the Grant documentation on its GitHub repo.

How does Grant Integrate into my Development Workflow?

As a software license scanner, Grant operates on a software inventory artifact like an SBOM or directly on a container image. Let’s continue with the example from above to bring this to life. In the legal review example above you are a software developer that has been tasked with manually searching and finding all of the OSS license files to provide to your customer’s legal team for review.

Not wanting to do this manually by hand, you instead open up your CLI and install Grant. From there you navigate to your artifact registry and pull down the latest image of your application’s production build. Right before you run the Grant license scan on your production container image you notice that your team has been following software supply chain best practices and have already created an SBOM with a popular open-source tool called Syft. Instead of running the container through Grant which could take some time to scan the image, you instead pipe the SBOM into Grant which is already a JSON object of the entire dependency inventory of the application. A few seconds later you have a full report of all of the licenses in your application.  

From here you export the full component inventory with the license enrichment into a spreadsheet and send this off to the customer’s legal team for review. A process that might have taken a full day or even multiple days to do by hand was finished in seconds with the power of open-source tooling.

Automating License Compliance with Policy

Grant is an amazing tool that can automate much of the most tedious work of protecting an organization from legal consequences but when used by a developer as a CLI tool, there is still a human in the loop which can cause traffic jams to occur. With this in mind, our OSS team made sure to launch Grant with support for policy-based filters that can automate the execution and alerting of license scanning. 

Let’s say that your organization’s legal team has decided that using any GPL components in 1st party software is too risky. By writing a policy that fails any software that includes GPL licensed components and integrating the policy check as early as the staging CI environment or even allowing developers to run Grant in a one-off fashion during design as they prototype the initial idea, the potential for legally risky dependencies infiltrating into production software drops precipitously.

How Anchore Can Help

Grant is an amazing tool that automates the license compliance discovery process. This is great for small projects or software that does irregular releases. Things get much more complicated in the cloud-native, continuous integration/deployment paradigm on DevSecOps where there are new releases multiple times per day. Having Grant generate the license data is great but suddenly you will have an explosion of data that itself needs to be managed.

This is where Anchore Enterprise steps in to fill this gap. The Anchore Enterprise platform is an end-to-end data management solution that not only incorporates all of Anchore’s open-source tooling that generates artifacts like SBOMs, vulnerability scans and license scans. It also manages the massive amount of data that a high speed DevSecOps pipeline will create as part of its regular operation and on top of that apply a highly customizable policy engine that can then automate decision-making around the insights derived from the software supply chain artifacts like SBOMs, vulnerability scans and license scans. 

Want to make sure that no GPL license OSS components ever make it into your SDLC? No problem. Grant will uncover all components that have this license, Anchore Enterprise will centralize these scans and the Anchore policy engine will alert the developer who just integrated a new GPL licensed OSS component into their development environment that they need to find a different component or they won’t be able to push their branch to staging. The shift left principle of DevSecOps can be applied to LegalOps as well. 

Conclusion

The advent of tools like Grant, an open-source license discovery solution developed by Anchore, marks a significant advancement in the realm of open-source license management. By automating the tedious process of license verification, Grant not only enhances operational efficiency but also integrates seamlessly into continuous integration/continuous delivery (CI/CD) environments. This capability is crucial in modern DevOps practices, which demand frequent and fast-paced updates. Grant’s ability to quickly generate comprehensive licensing reports transforms a potentially day-long task into a matter of seconds.

Anchore Enterprise extends this functionality by managing the deluge of data from continuous deployments and integrating a policy engine that automates compliance decisions. This ecosystem not only streamlines the process of license management but also empowers developers and legal teams to preemptively address compliance issues, thereby embedding legal safeguards directly into the software development lifecycle. This proactive approach ensures that as the technological landscape evolves, businesses remain agile yet compliant, ready to capitalize on opportunities without being bogged down by legal liabilities.

If you’re interested to hear about the topics covered in this blog post directly from the lips of Anchore’s CTO, Dan Nurmi, and the maintainer of Grant, Christopher Phillips, you can watch the on-demand webinar here. Or join the Anchore Community Discourse forum to speak with our team directly. We look forward to hearing from you and reviewing your pull requests!

The global cybersecurity community has been in a state of uncertainty since the National Vulnerability Database (NVD) has degraded service starting in mid-February. There has been a lot of coverage of this incident this month and Anchore has been at the center of much of it. If you haven’t been keeping up, this blog post is here to recap what has happened so far and how the community has been responding to this incident.

Our VP of Security, Josh Bressers has been leading the charge to educate and organize the community. First with his Open Source Security podcast that goes through what is happening with NVD and why it is important. On top of that, last week he participated in a livestream with Chainguard Co-founder Dan Lorenc on the Resilient Cyber Show hosted by Chris Hughes on the implications of the current delay with NVD service.

We’ve condensed the topics from these resources into a blog post that will cover the issues created by the delay in NVD service, a background on what has happened so far, a potential open-source solution to the problem and a call to action for advocacy. Continue reading for the good stuff.

The problem

Federal agencies mandate NVD is used as the primary data source of truth even if there could be higher quality data sources available. This mainly comes down to the fact that the severity scores, meaning the Common Vulnerability Scoring System (CVSS), determines when an agency or organization is out of compliance with a federal security standard. Given that compliance standards are created by the US government, only NVD can score a vulnerability and determine the appropriate action in order to stay in compliance.

That’s where the problem starts to come in, you’ve got a whole bunch of government agencies on one hand saying, ‘you must use this data’. And then another government agency that says, “No, you can’t rely on this for anything”. This leaves folks working with the government in a bit of a pickle.

–Dan Lorenc, Co-Founder, Chainguard

If NVD isn’t assigning severities to vulnerabilities, it’s not clear what that means for maintaining compliance and they could be exposing themselves to significant risk. For example, there could be high severity vulnerabilities being published by organizations that are unaware because this vital review and scoring process has been removed.

Background on NVD and the current state of affairs

NVD is the canonical source of truth for software vulnerabilities for the federal government, specifically for 10+ federal compliance standards. It has also become a go-to resource for the worldwide security community even if individual organizations in the wider community aren’t striving to meet a United States compliance standard.

NVD adds a number of enrichments to CVE data but there are two of particular importance; first, it adds a severity score to all CVEs and two, it adds information of which versions of the software are impacted by the CVE. The National Institute of Standards and Technology (NIST) has been providing this service to the security community for over 20 years through the NVD. That changed last month:

Timeline

• Feb 12: NVD dramatically reduces the number of CVEs that are being enriched:

• Feb 15: NVD posts message about delay of enrichment on NVD Website

• Mar 08: Anchore publishes National Vulnerability Database: Opaque changes and unanswered questions when delay continues for almost a month
• Mar 21: Livestream of the Resilient Cyber Show’s “Untangling NVD Chaos” is broadcast
• Mar 27: NVD session at VulnCon; potential announcement from NVD about future state of database

Read a comprehensive background in our original blog post, National Vulnerability Database: Opaque changes and unanswered questions.

Developing an Open-Source Solution

The Anchore team developed and maintains an open-source vulnerability scanner called Grype that utilizes the NVD as one of many vulnerability feeds as well as a software supply chain security platform called Anchore Enterprise that incorporates Grype. Given that both products use data from NVD, it was particularly important for Anchore to engage in the current crisis.

While there is nothing that Anchore can do about the missing severity scores, the other highlighted missing enrichment was the versions of the software that are impacted by the CVE, aka, Common Platform Enumeration (CPE). The matching logic ends up being the more important signal during impact analysis because it is an objective measure of impact rather than severity scoring which can be debated (and is, at length).

Given Anchore’s history with the open-source software community, creating an OSS project to fill a gap in the NVD enrichment seemed the logical choice. The goal of going the OSS route is to leverage the transparent process and rapid iteration that comes from building software publicly. Anchore is excited to collaborate with the community to:

• Ingest CVE data
• Analyze CVEs
• Improve the CVE-to-versioning mapping process 

Everyone is being crushed by the unrelenting influx of vulnerabilities. It’s not just NVD. It’s not one organization. We can either sit in our silos and be crushed to death or we can work together.

–Josh Bressers, VP of Security at Anchore

If you’re looking to utilize this data and software as a backfill while NVD continues delaying analysis or want to contribute to the project, please join us on GitHub! 

Cybersecurity Awareness and Advocacy

It might seem strange that the cybersecurity community would need to convince the US government that investing in the cybersecurity ecosystem is a net positive investment given that the federal government is the largest purchaser of software in the world and is probably the largest target for threat actors. But given how NIST has decided to degrade the service of NVD and provide only opaque guidance on how to fill the gap in the meantime, it doesn’t appear that the right hand is talking with the left.

Whether the federal government intended to or not, by requiring that organizations and agencies utilize NVD in order to meet a number of federal compliance standards, it effectively became the authority on the severity of software vulnerabilities for the global cybersecurity ecosystem. By providing a valuable and reliable service to the community, the US garnered the trust of the ecosystem. The current state of NVD and the manner in which it was rolled out has degraded that trust. 

It is unknown whether the US will cede its authority to another organization, the EU may attempt to fill this vacuum with its own authoritative database but in the meantime, advocacy for cybersecurity awareness within the government is paramount. It is up to the community to create the pressure that will demonstrate the urgency with the current strategy around a vital community resource like NVD. 

Conclusion

Anchore is committed to keeping the community up-to-date on this incident as it unfolds. To stay informed, be sure to follow us on LinkedIn or Twitter/X.

If you’d like to watch the livestream in all its glory, click on the image below to go to the VOD.

Also, if you’re looking for more in-depth coverage of the NVD incident, Josh Bressers has a security podcast called, Open Source Security that covers the NVD incident and the history of NVD.

In our continuous effort to bring valuable insights and tools to the world of software supply chain security, we are thrilled to announce two upcoming webinars and one recently held webinar now available for on-demand access. Whether you’re looking to enhance your understanding of software security, explore open-source tools to automate OSS licensing management, or navigate the complexities of compliance with federal standards, our expert-led webinars are designed to equip you with the knowledge you need. Here’s what’s on the agenda:

Tracking License Compliance Made Easy: Intro to Grant (OSS)

Date: Mar 26, 2024 at 2pm EDT  (11am PDT)

Join us as Anchore CTO, Dan Nurmi and Grant Maintainer, Christopher Phillips discuss the challenges of managing software licenses within production environments, highlighting the complexity and ongoing nature of tracking open-source licenses.

They will introduce Grant, an open-source tool designed to alleviate the burden of OSS license inspection by demonstrating how to scan for licenses within SBOMs or container images, simplifying a typically manual process. The session will cover the current landscape of software licenses, the difficulties of compliance checks, and a live demo of Grant’s features that automate this previously laborious process.

Software Security in the Real World with Kelsey Hightower and Dan Perry

Date: April 4th, 2024 at 2pm EDT  (11am PDT)

In our upcoming webinar, experts Kelsey Hightower and Dan Perry will delve into the nuances of securing software in cloud-native, containerized applications. This in-depth session will explore the criteria for vulnerability testing success or failure, offering insights into security testing and compliance for modern software environments. 

Through a live demonstration of Anchore Enterprise, they’ll provide a comprehensive look at visibility, inspection, policy enforcement, and vulnerability remediation, equipping attendees with a deeper understanding of software supply chain security, proactive security strategies, and practical steps to embark on a software security journey. 

The discussion will continue after the webinar on X/Twitter with Kelsey Hightower.

FedRAMP and SSDF Compliance: How to Sell to the Federal Government

This webinar explores how Anchore aids in navigating the complex compliance requirements for selling software to the federal government, focusing on FedRAMP vulnerability scanning and SSDF compliance. Led by Josh Bressers, VP of Security and Connor Wynveen, Senior Solutions Engineer it will detail evaluating FedRAMP controls for software containers and adhering to SSDF guidelines. 

Key takeaways include strategies to streamline FedRAMP and SSDF compliance efforts, leveraging SBOMs for efficiency, the critical role of automated vulnerability scans, and how Anchore’s policy pack can assist organizations in meeting compliance standards.

Accessing the Webinars

Don’t miss out on the opportunity to expand your knowledge and skills with these sessions. To register for the upcoming webinars or to access the on-demand webinar, visit our webinar landing page. Whether you’re looking to stay ahead of the curve in software security, explore funding opportunities for your open-source projects, or break into the federal market, our webinars are designed to provide you with the insights and tools you need.

We look forward to welcoming you to our upcoming webinars. Stay informed, stay ahead!

Today Anchore announces the VIPERR software supply chain security framework. This framework distills our lessons learned from supporting the most challenging software supply chain environments across government agencies and the defense industrial base. The framework is a blueprint for organizations to implement that reliably creates secure software supply chains with the least possible lift.

Previously security teams had to wade through massive amounts of literature on software supply chain security and spend countless hours of their teams time digesting those learnings into concrete processes and controls that integrated with their specific software development process. This typically absorbed massive amounts of time and resources and it wasn’t always clear at the end that an organization’s security had improved significantly.

Now organizations can utilize the VIPERR framework as a trusted industry resource to confidently improve their security posture and reduce the possibility of a breach due to a supply chain incident without the lengthy research cycle that frequently comes before the implementation phase of a software supply chain solution.

If you’re interested to see how Anchore works with customers to apply the framework via the Anchore Enterprise platform take the free guided walkthrough of the VIPERR framework. Alternatively, you can view our on demand webinar for a thorough walk through the framework. Finally, if you would like a more hands-on experience to try out the VIPERR framework then you can try our Anchore Enterprise Free Trial.  

Frequently Asked Questions

What is the VIPERR framework?

VIPERR is a free software supply chain security framework that Anchore created for organizations to evaluate and improve the security posture of their software supply chain. VIPERR stands for visibility, inspection, policy enforcement, remediation, and reporting. 

While working alongside developers and security teams within some of the most challenging architectures and threat landscapes, Anchore field engineers developed the VIPERR framework to both contextualize lessons learned and prevent live threats. VIPERR is meant to be a practical self-assessment playbook that organizations can regularly reuse to evaluate and harden their software supply chain security posture. By following this guide, numerous Fortune 500 enterprises and top federal agencies have transformed their software supply chain security posture and become hard targets for advanced persistent threats.

Why did Anchore create the VIPERR framework?

There are already a number of frameworks that have been developed to help organizations improve their software supply chain security but most of them focus on giving general guidance that is flexible enough that most specific implementations of the guidance will yield compliance. This is great for general standards because it allows organizations to find the best fit for their environment, but by keeping guidance general, it is difficult to always know the best specific implementation that delivers real-world results. The VIPERR framework was designed to fill this gap.

VIPERR is a framework that can be used to fulfill compliance standards for software supply chain security that is opinionated on how to achieve the controls of most of the popular standards. It can be paired with Anchore’s turnkey offering Anchore Enterprise so that organizations can opt for a solution that accomplishes the entire VIPERR framework without having to build a system from scratch.

Access an interactive 50 point checklist or a pdf version to guide you through each step of the VIPERR framework, or share it with your team to introduce the model for learning and awareness.

How do I begin identifying the gaps in my software supply chain security program? 

“I have no budget. My boss doesn’t think it’s a priority. I lack resources.” These are all common refrains when we speak with security teams working with us via our open source community or commercial enterprise offering. There is a ton of guidance available between SSDF, SLSA, NIST, and S2C2F. A lot of this is contextualized in a manner difficult to digest. As mentioned in the previous question VIPERR was created to be highly actionable by finding the right balance between giving guidance that is flexible and providing opinions that reduce options to help organizations make decisions faster.

The VIPERR framework will be available in a formatted 50 point, self-assessment checklist in the coming weeks, check back here for updates on that. By completing the forthcoming checklist you will produce a prioritized list of action items to harden your organization’s software supply chain security with the least amount of effort. 

How do I build a solution that closes the gaps that VIPERR uncovers?

As stated, VIPERR is a framework, not a solution. Anchore has worked with companies that have implemented VIPERR by building an in-house solution with a collection of open source tools (e.g. Syft, Grype, and other open source tools) or using a combination of multiple security tools. If you want to get an idea of the components involved in building a solution by self-hosting open-source tools and tying all of these systems together with first-party code, we wrote about that approach here. 

If I don’t want to build a solution, are there any turnkey solutions available?

Yes. Anchore Enterprise was designed as a turnkey solution to implement the VIPERR framework. Anchore Enterprise also automates the 50 security controls of the framework by integrating directly into an organization’s SDLC toolset (i.e., developer environments, CI/CD build pipelines, artifact registry and production environments). This provides the ability for organizations to know at any point in time if their software supply chain has been compromised and how to remediate the exploit.

If you’d like to learn more about the Anchore Enterprise platform or speak with a member of our team, feel free to book a time to speak with one of our specialists.

In the world of software development, two mega-trends have emerged in the past decade that have reshaped the industry. First the practice of building applications with a foundation of open-source software components and, second, the adoption of DevOps principles to automate the build and delivery of software. While these innovations have accelerated the pace of software getting into the hands of users, they’ve also introduced new challenges, particularly in the realm of security. 

As software teams race to deliver applications at breakneck speeds, security often finds itself playing catch-up, leading to potential vulnerabilities and risks. But what if there was a way to harmonize rapid software delivery with robust security measures? 

In this post, we’ll explore the tension between engineering and security, the transformative role of Software Bill of Materials (SBOMs), and how modern approaches to software composition analysis (SCA) are paving the way for a secure, efficient, and integrated software development lifecycle.

Two Mega-Trends and the History of the Tension Between Engineering and Security

The rise of open-source software ushered in an era where developers had innumerable off-the-shelf components to construct their applications from. These building blocks eliminated the need to reinvent the wheel, allowing developers to focus on innovating on top of the already existing foundation that had been built by others. By leveraging pre-existing, community-tested components, software teams could drastically reduce development time, ensuring faster product releases and more efficient engineering cycles. However, this boon also brought about a significant challenge: blindspots. Developers often found themselves unaware of all the ingredients that made up their software.

Enter the second mega-trend DevOps tools, with special emphasis on CI/CD build pipelines. These tools promised (and delivered) faster, more reliable software testing, building, and delivery. Which ultimately meant not only was the creation of software accelerated via open-source components but the build process of manufacturing the software into a state that a user could consume was also sped up. But, as Uncle Ben reminds us, “with great power comes great responsibility”. The accelerated delivery meant that any security issues, especially those lurking in the blindspots, found their way into production at the new accelerated pace that was enabled through open-source software components and DevOps tooling.

The Strain on Legacy Security Tools in the Age of Rapid Development

This double-shot of productivity boosts to engineering teams began to strain their security oriented counterparts. The legacy security tools that security teams had been relying on were designed for a different era. They were created when software development lifecycles were measured in quarters or years rather than weeks or months. Because of this they could afford to be leisurely with their process. 

The tools that were originally developed to ensure that an application’s supply chain was secure were called software composition analysis (SCA) platforms. They were originally developed as a method for scanning open source software for licensing information to prevent corporations from running into legal issues as their developers used open-source components. They scanned every software artifact in its entirety—a painstakingly slow process. Especially if you wanted to run a scan during every step of software integration and delivery (e.g. source, build, stage, delivery, production). 

As the wave of open-source software and DevOps principles took hold, a tug-of-war between security teams, who wanted thoroughness, and software teams, who were racing against time began to form. Organizations found themselves at a crossroads, choosing between slowing down software delivery to manage security risks or pushing ahead and addressing security issues reactively.

SBOMs to the Rescue!

But what if there was a way to bridge this gap? Enter the Software Bill of Materials (SBOM). An SBOM is essentially a comprehensive list of components, libraries, and modules that make up a software application. Think of it as an ingredient list for your software, detailing every component and its origin.

In the past, security teams had to scan each software artifact during the build process for vulnerabilities, a method that was not only time-consuming but also less efficient. With the sheer volume and complexity of modern software, this approach was akin to searching for a needle in a haystack.

SBOMs, on the other hand, provide a clear and organized view of all software components. This clarity allows security teams to swiftly scan their software component inventory, pinpointing potential vulnerabilities with precision. The result? A revolution in the vulnerability scanning process. Faster scans meant more frequent checks. And with the ability to re-scan their entire catalog of applications whenever a new vulnerability is discovered, organizations are always a step ahead, ensuring they’re not just reactive but proactive in their security approach.

In essence, organizations could now enjoy the best of both worlds: rapid software delivery without compromising on security. With SBOMs, the balance between speed and security isn’t just achievable; it’s the new standard.

How do I Implement an SBOM-powered Vulnerability Scanning Program?

Okay, we have the context (i.e. the history of how the problem came about), we have a solution, the next question then becomes how do you bring this all together to integrate this vision of the future with the reality of your software development lifecycle?

Below we outlined the high-level steps of how an organization might begin to adopt this solution into their software integration and delivery processes:

1. Research and select the best SBOM generation and vulnerability scanning tools. (Hint: We have some favorites!)
2. Educate your developers about SBOMs. Need guidance? Check out our detailed post on getting started with SBOMs.
3. Store the generated SBOMs in a centralized repository.
4. Create a system to pull vulnerability feeds from reputable sources. If you’re looking for a way to get started here, read our post on how to get started.
5. Regularly scan your catalog of SBOMs for vulnerabilities, storing the results alongside the SBOMs.
6. Integrate your SBOM generation and vulnerability scanning tooling into your CI/CD build pipeline to automate this process.
7. Implement a query system to extract insights from your catalog of SBOMs.
8. Create a tool to visualize your software supply chain’s security health.
9. Create a system to alert on for newly discovered vulnerabilities in your application ecosystem.
10. Integrate a policy enforcement system into your developers’ workflows, CI/CD pipelines, and container orchestrators to automatically prevent vulnerabilities from leaking into build or production environments.
11. Maintain the entire system and continue to improve on it as new vulnerabilities are discovered, new technologies emerge and development processes evolve.

Alternatively, consider investing in a comprehensive platform that offers all these features, either as a SaaS or on-premise solution instead of building this entire system yourself. If you need some guidance trying to determine whether it makes more sense to build or buy, we have put together a post outlining the key signs to watch for when considering when to outsource this function.

How Anchore can Help you Achieve your Vulnerability Scanning Dreams

The previous section is a bit tongue-in-cheek but it is also a realistic portrait of how to build a scalable vulnerability scanning program in the Cloud Native-era. Open-source software and container pipelines have changed the face of the software industry for the better but as with any complex system there are always unintended side effects. Being able to deliver software more reliably at a faster cadence was an amazing step forward but doing it securely got left behind. 

Anchore Enterprise was built specifically to address this challenge. It is the manifestation of the list of steps outlined in the previous section on how to build an SBOM-powered software composition analysis (SCA) platform. Integrating into your existing DevOps tools, Anchore Enterprise is a turnkey solution for the management of software supply chain security. If you’d rather buy than build and save yourself the blood, sweat and tears that goes into designing an end-to-end SCA platform, we’re looking forward to talking to you.
If you’d like to learn more about the Anchore Enterprise platform or speak with a member of our team, feel free to book a time to speak with one of our specialists.

SBOMs. What are they good for? At Anchore, we see SBOMs (software bills of material) as the foundation of an application’s supply chain hierarchy. Upon this foundation you can build a lot of powerful features, such as, the ability to detect vulnerabilities in your open source dependencies before they are pushed to production. An unintended side effect of giving users the power to easily see deeply into their application’s dependencies and detect the vulnerabilities in those dependencies is that there can sometimes be hundreds of vulnerabilities discovered in the process. 

We’ve seen customer applications that generate up to 400+ known vulnerabilities! This creates an information overload that typically ends in the application developer ignoring the results because it is too much effort to triage and remediate each one. Knowing that an application is riddled with vulnerabilities is better than not but excessive information does not lead to actionable insights. 

Anchore Enterprise solves this challenge by pairing vulnerability data (e.g. CVEs, etc) with exploit data (e.g. KEV, etc). By combining these two data sources we can create actionable insight by showing users both the vulnerabilities in their applications and which vulnerabilities are actually being exploited. Actively exploited vulnerabilities are significantly higher risk and can be prioritized for triage and remediation first. In this blog post, we’ll discuss how we do that and how it can save both your security team and application developers time.

How Does Anchore Enterprise Help You Find Exploits in Your Application Dependencies?

What is an Exploited Vulnerability?

“Exploited” is an important distinction because it means that not only does a vulnerability exist but a payload also exists that can reliably trigger the vulnerability and cause an application to execute unintended functionality (e.g. leaking all of the contents of a database or deleting all of the data in a database). For instance, almost all bank vaults in the world are vulnerable to an asteroid strike “deleting” all of the contents of the safe but no one has developed a system to reliably cause an asteroid to strike bank vaults. Maybe Elon Musk can make this happen in a few more years but today this vulnerability isn’t exploitable. It is important for organizations to prioritize exploited vulnerabilities because the potential for damage is significantly greater.

Source High-Quality Data on Exploits

In order to find vulnerabilities that are exploitable, you need high-quality data from security researchers that are either crafting exploits to known vulnerabilities or analyzing attack data for payloads that are triggering an exploit in a live application. Thankfully, there are two exceedingly high-quality databases that publish this information publicly and regularly; the Known Exploited Vulnerability (KEV) Catalog and the Exploit Database (Exploit-DB).

The KEV Catalog is a database of known exploited vulnerabilities that is published and maintained by the US government through the Cybersecurity and Infrastructure Security Agency, CISA. It is updated regularly; they typically add 1-5 new KEVs every week. 

While not an exploit database itself, the National Vulnerability Database (NVD) is an important source of exploit data because it checks all of the vulnerabilities that it publishes and maintains against the Exploit-DB and embeds the relevant identifiers when a match is found.

Anchore Enterprise ingests both of these data feeds and stores the data in a centralized repository. Once this data is structured and available to your organization it can then be used to determine which applications and their associated dependencies are exploitable.

Map Data on Exploits to Your Application Dependencies

Now that you have a quality source of data on known exploited vulnerabilities, you need to determine if any of these exploits exist in your applications and/or the dependencies that they are built with. The industry-standard method for storing information on applications and their dependency supply chain is via a software bill of materials (SBOM). 

After you have an SBOM for your application you can then cross-reference the dependencies against both a list of known vulnerabilities and a list of known exploited vulnerabilities. The output of this is a list of all of the applications in your organization that are vulnerable to exploits.

If done manually, via something like a spreadsheet this can quickly become a tedious process. Anchore Enterprise automates this process by generating SBOMs for all of your applications and running scans of the SBOMs against vulnerability and exploit databases. 

How Does Anchore Enterprise Help You Prioritize Remediation of Exploits in Your Application Dependencies?

Once we’ve used Anchore Enterprise to detect CVEs in our containers that are also exploitable through the KEV or ExploitDB lists, then we can take the severity score back into account with more contextual evidence. We need to know two things for each finding: what is the severity of the finding and can I accept the risk associated with leaving that vulnerable code in my application or container. 

If we look back to the Log4J event in December of 2021, that particular vulnerability scored a 10 on the CVSS. That score alone provides us little detail on how dangerous that vulnerability is. If a CVE is discovered against any given piece of software and the NVD researchers cannot reach the authors of the code, then it’s assigned a score of 10 and the worst case is assumed. 

However, if we have applied our KEV and ExploitDB bundles and determined that we do indeed have a critical vulnerability that has active known exploits and evidence that it is being exploited in the wild AND the severity exceeds our personal or organizational risk thresholds then we know that we need to take action immediately. 

Everyone has questioned the utility of the SBOM but Anchore Enterprise is making this an afterthought. Moving past the basics of just generating an SBOM and detecting CVE’s, Anchore Enterprise is automatically mapping exploit data to specific packages in your software supply chain allowing you to generate reports and notifications for your teams. By analyzing this higher quality information, you can determine  which vulnerabilities actually pose a threat to your and in turn make more intelligent decisions about which to fix and which to accept, saving your organization time and money.

Wrap Up

Returning to our original question, “what are SBOMs good for”? It turns out the answer is scaling the process of finding and prioritizing vulnerabilities in your organization’s software supply chain.

In today’s increasingly complex software landscape, the importance of securing your application’s supply chain cannot be overstated. Traditional SBOMs have empowered organizations to identify vulnerabilities but often left them inundated with too much information, rendering the data less actionable. Anchore Enterprise revolutionizes this process by not only automating the generation of SBOMs but also cross-referencing them against reputable databases like KEV Catalog and Exploit-DB to isolate actively exploited vulnerabilities. By focusing on the vulnerabilities that are actually being exploited in the wild, your security team can prioritize remediation efforts more effectively, saving both time and resources. 

Anchore Enterprise moves beyond merely detecting vulnerabilities to providing actionable insights, enabling organizations to make intelligent decisions on which risks to address immediately and which to monitor. Don’t get lost in the sea of vulnerabilities; let Anchore Enterprise be your compass in navigating the choppy waters of software security.

If you’d like to learn more about the Anchore Enterprise platform or speak with a member of our team, feel free to book a time to speak with one of our specialists