Parasoft
Parasoft's mission is to provide automated testing solutions and expertise that empower organizations to expedite delivery of safe and reliable software.
A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems.
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ZeroPath
ZeroPath (YC S24) is an AI-native application security platform that delivers comprehensive code protection beyond traditional SAST. Founded by security engineers from Tesla and Google, ZeroPath combines large language models with deep program analysis to deliver intelligent security testing that finds real vulnerabilities while dramatically reducing false positives.
Unlike traditional SAST tools that rely on pattern matching, ZeroPath understands code context, business logic, and developer intent. This enables identification of sophisticated security issues including business logic flaws, broken authentication, authorization bypasses, and complex dependency vulnerabilities.
Our comprehensive security suite covers the application security lifecycle:
1. AI-powered SAST
2. Software Composition Analysis with reachability analysis
3. Secrets detection and validation
4. Infrastructure as Code scanning
5. Automated PR reviews
6. Automated patch generation
and more...
ZeroPath integrates seamlessly with GitHub, GitLab, Bitbucket, Azure DevOps and many more. The platform handles codebases with millions of lines across Python, JavaScript, TypeScript, Java, Go, Ruby, Rust, PHP, Kotlin and more.
Our research team has been successful in finding vulnerabilities like critical account takeover in better-auth (CVE-2025-61928, 300k+ weekly downloads), identifying 170+ verified bugs in curl, and discovering 0-days in production systems at Netflix, Hulu, and Salesforce.
Trusted by 750+ companies and performing 200k+ code scans monthly.
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Echidna
Echidna is a Haskell-based tool created for fuzzing and property-based testing of Ethereum smart contracts. It employs advanced grammar-driven fuzzing strategies that leverage a contract's ABI to challenge user-defined predicates or Solidity assertions. Designed with a focus on modularity, Echidna allows for easy extensions to incorporate new mutations or to target specific contracts under particular conditions. The tool generates inputs that are specifically adapted to your existing codebase, and it offers optional features for corpus collection, mutation, and coverage guidance to uncover more elusive bugs. It utilizes Slither to extract critical information prior to launching the fuzzing process, ensuring a more effective campaign. With source code integration, Echidna can pinpoint which lines of code are exercised during testing, and it provides an interactive terminal UI along with text-only or JSON output formats. Additionally, it includes automatic test case minimization for efficient triage and integrates seamlessly into the development workflow. The tool also reports maximum gas usage during fuzzing activities and supports complex contract initialization through Etheno and Truffle, enhancing its usability for developers. Ultimately, Echidna stands out as a robust solution for ensuring the reliability and security of Ethereum smart contracts.
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ClusterFuzz
ClusterFuzz is an advanced fuzzing platform designed to identify security vulnerabilities and stability problems within software applications. Utilized by Google for all its products, it also serves as the fuzzing backend for OSS-Fuzz. This infrastructure offers a plethora of features that facilitate the integration of fuzzing into the development lifecycle of software projects. It includes fully automated processes for bug filing, triage, and resolution across different issue trackers. Moreover, it supports various coverage-guided fuzzing engines to achieve optimal outcomes through techniques like ensemble fuzzing and diverse fuzzing strategies. The platform provides detailed statistics for evaluating fuzzer efficiency and tracking crash rates. Its user-friendly web interface simplifies management tasks and crash examinations, while it also accommodates multiple authentication providers via Firebase. Additionally, ClusterFuzz supports black-box fuzzing, minimizes test cases, and employs regression identification through bisection techniques, making it a comprehensive solution for software testing. The versatility and robustness of ClusterFuzz truly enhance the software development process.
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