Show HN: Bearer – Open-source code security scanning solution (SAST)

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  • bearer

    Code security scanning tool (SAST) to discover, filter and prioritize security and privacy risks.

  • Hi HN,

    we’re the co-founders of Bearer, and today we launch an open-source alternative to code security solutions such as Snyk Code, SonarQube, or Checkmarx. Essentially, we help security & engineering teams to discover, filter and prioritize security risks and vulnerabilities in their codebase, with a unique approach through sensitive data (PII, PD, PHI).

    Our website is at and our GitHub is here:

    We are not originally Security experts but have been software developers and engineering leaders for over 15 years now, and we thought we could provide a new perspective to security products with a strong emphasis on the developer experience, something we often found lacking for security tools.

    In addition to building a true developer-friendly security solution, we’ve also heard a lot of teams complaining about how noisy their static code security solutions are. As a result, they often have difficulties triaging the most important issues, and ultimately it’s difficult to remediate them. We believe an important part of the problem lies in the fact that we lack a clear understanding of the real impact of any security issues. Without that understanding, it’s very difficult to ask developers to remediate critical security flaws.

    We’ve built a unique approach to this problem, by looking at the impact of security issues through the lens of sensitive data. Interestingly, most security team ultimate responsibility today is to secure those sensitive data and protect their organization from costly data loss and leakage, but until today, that connection has never been made.

    In practical terms, we provide a set of rules that assess the variety of ways known code vulnerabilities (CWE) ultimately impact your application security, and we reconcile it with your sensitive data flows. At the time of this writing, Bearer provides over 100 rules.

    Here are some examples of what those rules can detect:

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