A library maintainer should run dependency scanning on the library's own dependencies, fuzz anything that parses input, add static checks in continuous integration, and publish a way for researchers to report problems. Dynamic scanning rarely applies, because a library has no running application to probe.
Why a library is a special case
A library is code other people import. A flaw in it reaches every project that depends on it, which raises the stakes. At the same time, maintainers often work alone with no security budget. The plan has to be small, automated and honest about what it covers.
Two facts shape the choices. A library has no running instance of its own, so dynamic scanners have nothing to attack. And its public functions take inputs from callers, so those entry points are the natural place to test.
The four-part plan
1. Scan your own dependencies. Your library's dependencies become your users' dependencies. OWASP's component analysis guidance stresses an accurate inventory of third-party components as the foundation for risk work. Keep lockfiles for development, and keep the declared version ranges for users sensible.
2. Fuzz the parsers. OWASP describes fuzzing as providing a program with unexpected, malformed or semi-malformed inputs to find bugs and vulnerabilities, and its page covers file format and protocol fuzzing. If your library reads a file format, decodes a protocol or handles user supplied strings, a fuzz target on that function is high value for small effort.
3. Run static checks in CI. OWASP notes static analysis scales well and can run repeatedly in continuous integration. Start with the checks your language community already trusts, and fail the build on a short list of serious rules.
4. Publish a reporting path. Add a security policy file to the repository with a contact method and expected response time. Researchers who cannot find one tend to report in public issues.
Habits that help users
- Tag releases and keep a changelog that says which releases fix security issues.
- Publish advisories through your ecosystem's channel when you fix something.
- Keep a short list of supported versions so users know when to upgrade.
- Pin your build and release process to as few accounts as possible, and protect them with strong authentication.
What to skip
- Heavy dynamic scanning. There is no target.
- Long triage queues. Tune the static ruleset to be quiet, and add rules slowly.
- Promises you cannot keep, such as fixed response times for a project run in spare hours.
A starter checklist
- Add a security policy file with a contact and response expectation.
- Enable dependency scanning on the repository.
- Add one fuzz target for the function that handles the most untrusted input.
- Turn on static checks in CI with a short rule list.
- Protect release accounts with strong authentication and limit who can publish.
- Write a changelog entry for every security fix.
Doing these six things puts a volunteer project ahead of many commercial ones, and it takes an afternoon.
Where Safeguard fits
Safeguard's SBOM and dependency scanning can check a library's own dependency tree and show which known flaws your code can reach. It does not fuzz your code or review its logic. You can run a free scan at https://gold.safeguard.sh/scan.
Quick check
Do library maintainers need dynamic scanning?
Usually no. A library has no running application. Test its public functions with unit tests, static checks and fuzzing instead.
What is the highest value test for a parser library?
A fuzz target that feeds malformed input to the parsing function, run regularly in CI.
Sources
Last reviewed: 19 October 2026.
