Bearer CLI SAST Ranks SQLi and OWASP Flaws by Proximity to Personal Data
The free static analysis tool ranks flaws by proximity to personal data, helping teams prioritize remediation efforts without executing the source code.

Key points
- Bearer CLI prioritizes security findings based on their connection to sensitive data types.
- The scanner supports seven programming languages and uses the Elastic License 2.0.
- Built-in rules cover OWASP Top 10 and CWE Top 25 weaknesses like SQL injection.
Bearer released Bearer CLI, a free static application security testing tool that scans source code for vulnerabilities. According to Help Net Security, the tool addresses a common triage problem where developers face hundreds of findings. It prioritizes flaws by tracing them back to the sensitive data they touch. This allows security teams to fix the most impactful issues first.
The risk
Traditional static analysis tools often report vulnerabilities without context regarding data exposure. Bearer CLI changes this approach by following sensitive data through the codebase. It places flaws on those specific paths at the top of the list. This helps triage personnel start with findings that could directly expose protected information.
Who is exposed
The CLI supports several common programming languages. According to the report, it handles Go, Java, JavaScript, TypeScript, PHP, Python, and Ruby. Organizations using any of these languages can integrate the scanner into their development workflows. It reads the code without running it, ensuring safety during the analysis phase.
Cost and compliance
Bearer CLI operates under the Elastic License 2.0. Help Net Security notes that organizations can use the tool internally without commercial restrictions. However, providing the scanner to third parties as a hosted or managed service requires explicit approval from the vendor. This licensing model allows free internal use while controlling commercial distribution.
What to watch
Security managers should verify that the scanner’s output aligns with their specific data classification policies. The tool identifies over 120 data types, including health information and personal data. Teams must ensure that the flagged components, such as databases or third-party APIs, match their internal privacy impact assessment requirements.
Signals worth monitoring
Teams usually review static analysis reports for high-severity items near data handlers. Check whether the scanner flags known weak cryptography or injection flaws close to user input. Look for alerts involving third-party integrations that process personal information. Contain risks by restricting access to repositories containing flagged code. Verify that remediation tickets are created for the highest-priority paths.
What to do and how to stay safe: Bearer
- Integrate the scanner into your continuous integration pipeline to catch flaws early.
- Review the prioritized list of findings to address data-exposure risks first.
- Verify that your internal usage complies with the Elastic License 2.0 terms.
- Use the privacy report output to support your GDPR records of processing activities.
Step-by-step guide: Vulnerability Prioritization: Fix What Actually Matters First
General security guidance from the SecOps Signal newsroom. It is not confirmed advice from the organisations named in this story.
Frequently asked questions
Does Bearer CLI analyze running applications?
No, it is a static analysis tool that reads source code without executing it.
Which programming languages does the tool support?
It supports Go, Java, JavaScript, TypeScript, PHP, Python, and Ruby.
Can I use this tool for commercial services?
Internal use is free, but providing it as a managed service requires vendor approval.



