I'm working with a client who's implementing Veracode for their primary web application. The scan results are coming back with a significant number of findings in third-party libraries and frameworks (think things like jQuery plugins, certain Apache Commons components). We've validated these are from dependencies we don't control and, in this specific case, can't feasibly upgrade or replace.
The security team wants a clean report that focuses on the code we actually own and can fix, so we're getting pressure to "clean up the noise." From my experience with other SAST tools, there's usually a way to filter these out, but I want to make sure we do it correctly in Veracode without compromising the scan's integrity for our actual code.
What's the best-practice method here? I'm looking at a few options:
* **Policy-level exclusions:** This seems the most formal, but is it overkill for third-party libraries? I've heard this can affect compliance reporting.
* **Creating a custom mitigation** (like "Accepted Risk”) for each finding: This feels very manual and would be a huge ongoing maintenance burden with each new scan.
* **Using the `veracode.exclude` file pattern:** I've read about this but haven't found clear documentation on the exact syntax and whether it works for all scan types (Static, SCA).
Has anyone set up a sustainable workflow for this? Specifically:
- How do you handle it so new versions of the same third-party component don't keep re-adding the findings?
- Does the approach differ between Veracode Static Analysis and Software Composition Analysis (SCA)?
- Any pitfalls we should avoid, like accidentally excluding our own code?
I'd appreciate any insights from those who've been through this process.
-mike
Integrate or die
Yeah, you're right on the edge of the common dilemma with these scans. The veracode.exclude file is definitely the most sustainable path for what you're describing. You can specify directories or JAR files by pattern, and it keeps them out of the scan results entirely, which is much cleaner than a flood of mitigations.
Just be super careful with your patterns. A broad exclude can accidentally hide your own code if it's packaged or named similarly to a library. I'd start with a very targeted list of the specific problematic JARs and verify the scan still picks up a known vuln in your custom code as a test.
Policy-level exclusions feel too permanent for a shifting codebase, and the manual mitigation route will burn you out on the next scan. The file approach gives you version control and repeatability.
don't spam bro
Totally agree on the veracode.exclude file being the right way. I learned the hard way that a sloppy pattern can mask a real issue in our own code because we had a similar naming convention. Spot checking with a known test vuln is solid advice.
One extra tip: document each exclude line in the file with a quick comment about why that library is out. It saves a ton of head-scratching six months later when someone asks why a component was excluded.
I think you've correctly identified the three main avenues. The `veracode.exclude` file is your best option, specifically because it acts at the scan/pre-analysis stage.
> **Policy-level exclusions** [...] is it overkill for third-party libraries?
Yes, in my view it is. Those are typically for organizational carve-outs and can get tangled in audit trails. You want the flexibility to adjust exclusions as dependencies change without requiring a policy change.
The manual mitigation route you mentioned is a non-starter for ongoing scans; you'd be recreating them on every run.
For the exclude file, start with a pattern targeting the specific, versioned JARs from your dependency management system. For example, `*commons-collections4-4.4.jar` is safer than `*commons-collections*.jar`. Run a comparison scan with and without the file to confirm your own code is still being analyzed.
Commit early, deploy often, but always rollback-ready.
Everyone's already pointed you at the veracode.exclude file, and they're right. The key detail you're missing is integrating its creation into your build pipeline. You don't want this as a manual step.
I bake it into the CI stage that packages the app for Veracode. Use your dependency tool to list the actual, versioned JARs you need to exclude, then generate the file. For a Maven project, you could have a script step that runs something like `mvn dependency:build-classpath -Dmdep.outputFile=classpath.txt`, then filters for the known problematic libraries and writes the exclude patterns. That way, your exclusions stay pinned to specific versions and the file is regenerated on each scan, so you don't get stale entries when dependencies update.
Just make sure your pipeline fails the build if the exclude file grows beyond a certain number of lines you define; that's a guardrail against accidentally excluding too much.
Automate everything. Twice.
Integrating the exclude file into the CI/CD pipeline is a smart move, but I'd add a caution about the dependency resolution step itself. In a complex multi-module project, the classpath generated at build time might not perfectly match the packaged artifact's structure that gets scanned, especially with shaded or relocated dependencies.
You might need a secondary verification step, like comparing the generated `veracode.exclude` list against the actual contents of the final WAR or Uber-JAR. A mismatch could lead to scanned libraries you thought were excluded.
Measure twice, buy once.
That's a solid tip about commenting the exclude lines. I'd also suggest making the comment actionable by linking to a vulnerability database entry for the library issue, like CVE-XXXX-YYYY. That way, anyone reviewing the file can immediately see the exact risk being accepted, not just that it's a third-party component.
I like the idea of making the pipeline fail if the exclude file gets too large, that's a clever safety valve. It turns a static list into a dynamic governance check.
A possible tweak is to also measure the percentage of the total artifact's footprint those exclusions represent, not just the raw line count. A project with hundreds of small utility libraries might hit a line limit quickly even if the excluded code is trivial, while a single massive, vulnerable framework JAR could slip under a line-count rule.
Reviews build trust.
Measuring footprint percentage is the right direction, but you need a more practical metric. Tracking raw file count or size is misleading when dealing with shaded JARs or frameworks where one dependency pulls in 50 internal modules.
The real check should be against the total number of *unique findings* your exclusions would suppress, not the megabytes of excluded code. You can approximate this by running a one-off scan with zero exclusions, pulling the finding count per component from the Veracode API, then setting a pipeline threshold. If your proposed exclusions would mask more than, say, 5% of the total findings, the build fails and requires manual review. This directly ties the safety valve to the security impact, not an arbitrary file size.
Benchmarks or bust
Interesting angle, but that one-off baseline scan is a heavy operational lift for every pipeline run. Getting a clean, zero-exclusion scan for a large app can take hours.
Maybe use a rolling baseline instead? Store the last known 'clean' finding count per component from a scheduled weekly scan, and compare new exclusion lists against that. More practical than blocking every build on a fresh full scan.
Still, tying it to findings is the right security mindset.
Demo or it didn't happen
You're on the right track looking at those three options. The `veracode.exclude` file is absolutely the standard method for this exact scenario. It operates at the scan level, so those libraries aren't even analyzed, keeping your report focused on your own code.
A quick caveat on the policy-level exclusions you mentioned: they're generally reserved for organizational, risk-accepted carve-outs, not for filtering out volatile third-party dependencies. Using them for libraries can create unnecessary audit trail complexity.
I'd start by building that exclude file with very specific, versioned patterns for the JARs in question. The goal is to be surgical so you don't accidentally exclude a component with a similar name that you actually wrote.
Review first, buy later.
Everyone treats the veracode.exclude file as this clean solution. It's not. You're just hiding the problem and creating a maintenance blacklist that nobody reviews.
Versioned patterns sound precise until the library gets a patch update. Then your exclusion breaks and the vulnerability is back in your scan, or worse, you blindly expand the pattern and start excluding code you shouldn't.
Just saying.
The `veracode.exclude` file is the right answer for your immediate problem, and user1273's caution about policy-level exclusions is spot-on, they're the wrong tool for this.
But I'll push back a bit on the "just be surgical" advice. That surgical precision is a double-edged sword. If you pin an exclusion to `commons-collections-4.4.1.jar`, what happens when you finally *can* update to 4.4.2? Your exclusion breaks, the findings flood back in, and now you're scrambling. You need a process, not just a file.
My tweak is to generate that file dynamically in your build, but also tag each exclusion line with the CVE or finding ID it's meant to suppress. That way, when the library version changes, you can audit whether the new version actually fixes the reported flaw before you blindly update the pattern or let the vuln back in. It turns the exclude list from a blind filter into a living audit trail.
I like the idea of tagging exclusions with CVE IDs, that's a great step towards making the list auditable. The tricky part is keeping those tags updated automatically when the library itself changes. You'd need a script to cross-reference your dependency tree against a vulnerability database, otherwise that audit trail goes stale fast.
Still, it's a better approach than a static list everyone forgets about.
Stay constructive
I see the appeal of "very specific, versioned patterns", but that's a fragile house of cards. It assumes your dependency versions are static, which they almost never are in active development.
You end up with a file that's constantly breaking, and each fix tempts you to use a broader, sloppier pattern to make the noise stop. That's how you eventually exclude `commons-collections*.jar` and miss the one you actually wrote.
The real problem is treating this as a one-time "build the file" task instead of a process tied to your dependency updates.
Trust but verify.