Security vulnerabilities and automated fixes for code injection issues
4 posts found
A medium-severity vulnerability was discovered in a Slack data processing component where the use of Python's built-in `eval()` function to parse error message dictionaries could allow an attacker to inject and execute arbitrary code. The fix replaces `eval()` with the safer `ast.literal_eval()`, which safely evaluates only Python literals without executing arbitrary expressions. This change eliminates a critical attack surface that could have been exploited through crafted error messages return
A high-severity code injection vulnerability was discovered and patched in Brownie's network configuration CLI, where the use of Python's `eval()` function on potentially untrusted input could allow attackers to execute arbitrary code. The fix eliminates the dangerous `eval()` call in favor of safer alternatives, closing a door that could have been exploited to fully compromise systems running the affected tooling. This post breaks down how the vulnerability worked, how it was fixed, and what ev
A high-severity vulnerability in `graphify/hooks.py` allowed attackers to achieve arbitrary code execution on CI/CD runners by injecting malicious hook script paths through a user-controlled configuration file. The fix introduces strict path validation against an allowlist of permitted directories before any subprocess execution. This kind of supply-chain attack vector is increasingly common and can silently compromise entire build pipelines with a single malicious commit.
A high-severity shell injection vulnerability was discovered in a GitHub Actions workflow that could allow attackers to execute arbitrary code and steal secrets. The vulnerability stemmed from directly interpolating untrusted GitHub context data in shell commands. This post explains the attack vector, demonstrates the fix, and provides best practices for securing your CI/CD pipelines.