Bearer helps modern companies ship trustworthy products by redefining what code security can do for enterprise security, privacy and engineering teams.
We combine sensitive data context with static code analysis to make security and privacy engineering simpler and smarter to maximize the ROI for DevSecOps and AppSec programs.
Founded by leaders in security and engineering, Bearer's mission is to amplify the potential of SAST to detect new and relevant risks early in SDLC and enable developers to fix findings in the CI/CD pipeline to optimize security team efforts.
Key features: 1. Accelerate continuous threat modeling of services/applications/repositories: 1. Detection and classification of PII, PHI etc. privacy-relevant data types 2. Detection of sensitive data exfiltration risk to external API components 3. Identify anti-patterns that can lead to security and privacy concerns- 2. Best-in-class sensitive data context detection (privacy-focused static code analysis) for Ruby, JavaScript/TypeScript, Java, Golang, Python, PHP, C#, and many more (beta) 3. Best-in-class SAST (security-focused static code analysis) for Ruby, JavaScript, TypeScript, and Java 4. Professionally maintained and supported scanning engine, rulesets for security risks, and recipes for risky data types and components 5. Secret scanning 6. Privacy reporting (PIA, DPIA, RoPA) for GDPR, CCPA, etc. 7. Developer-centric CLI and CI/CD workflow integrations 8. Open-source product available on Github
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Bearer is a developer-first modern SAST solution redefining what code security can do for you.
Based on our record, Cppcheck seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I dedicated Sunday morning to going over the documentation of the linters we use in the project. The goal was to understand all options and use them in the best way for our project. Seeing their manuals side by side was nice because even very similar things are solved differently. Cppcheck is the most configurable and best documented; JSON Lint lies at the other end. - Source: dev.to / 3 months ago
Using infer, someone else exploited null-dereference checks to introduce simple affine types in C++. Cppcheck also checks for null-dereferences. Unfortunately, that approach means that borrow-counting references have a larger sizeof than non-borrow counting references, so optimizing the count away potentially changes the semantics of a program which introduces a whole new way of writing subtly wrong code. Source: 12 months ago
For my own projects, I used cppcheck. You can check out that tool to get a feel. Depending on what industry your in, you might need to follow a standard like Misra. Source: about 1 year ago
Https://cppcheck.sourceforge.io/ (there are many other static analysis tools, I just haven't used them or didn't care for them). Source: about 1 year ago
Sounds like something that could simply be communicated with the team that writes the tests. Unless you have dozens of such classes. In that case, you could just use e.g. Cppcheck and add a rule (regular expression) that searches for usages of the forbidden classes. Source: over 1 year ago
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