Swival

Swival / security-audits

Public

Reports from automated security audits made by Swival.

swival.dev audits automated security vulnarabilities vulnerability-scanners
37
6
100% credibility
Found Apr 27, 2026 at 37 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go
AI Summary

A public archive of automated security audits run by the Swival tool on widely used open-source projects, complete with detailed findings, explanations, and proposed fixes.

How It Works

1
🔍 Stumble upon security checks

You find this collection of security reviews for popular software like web servers and encryption tools while browsing online.

2
📖 Read the welcome note

The front page explains how an automated helper spotted potential weaknesses in real projects, with easy-to-read summaries.

3
📋 Pick your favorite project

A handy table lists projects like Google's encryption library or fast web servers, each with the number of issues found.

4
🔎 Dive into the details

Click into a project folder to see a breakdown of problems by area, like encryption or file handling.

5
📄 Uncover a hidden flaw

Open a report to read a plain-English explanation of a bug, its risks, and a simple fix suggestion.

6
💡 Spot the proof

Some entries include tiny examples showing exactly how the flaw works, making it crystal clear.

✅ Become a security sleuth

You've gained insight into real-world software bugs and how smart tools catch them early, feeling smarter about tech safety.

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Star Growth

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AI-Generated Review

What is security-audits?

This repo compiles automated security audit reports from Swival's scanner, run on real-world codebases like BoringSSL, Go's crypto packages, nginx, and Rust stdlib. Each report delivers markdown write-ups of vulnerabilities with severity ratings (High/Medium/Low), impact details, suggested patches, and standalone PoC code to reproduce issues—no human tweaking needed. Developers get github security audits and example pentest reports github, generated via a simple REPL command on public repos.

Why is it gaining traction?

Unlike static scanners spitting generic alerts, these automated reports tackle widely used libs with concrete PoCs and fixes, proving AI-driven security audits and assessments work on production code. The mix of high-impact finds (e.g., crypto races, parser bugs) across Go, C, Rust draws security folks hunting awesome security reports github. Transparency shines: all from public models like GPT-5.4, reproducible by anyone.

Who should use this?

Security engineers auditing crypto or servers like nginx/h2o, needing security audits and compliance benchmarks. Go/Rust devs verifying stdlib fixes post-findings. Pentesters grabbing example pentest reports github for training or client demos.

Verdict

Grab it for raw insights into automated security audits—PoCs alone justify the stars (37)—but treat the 1.0% credibility score as a sign it's early-stage with spotty upstream triage. Solid starter for security audits and assessments, pair with manual review.

(198 words)

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