If you're managing Python projects, you're dealing with two distinct attack surfaces. One is the code you (or your AI) wrote; the other is the mountain of third-party packages you imported. Using only one of these tools means you're leaving half your vulnerabilities unchecked.
Snyk: The Dependency Specialist #
Snyk focuses on Software Composition Analysis (SCA). It doesn't actually "read" your logic; it reads your requirements.txt
, Pipfile
, or pyproject.toml
. It maps out your entire dependency tree—including those transitive dependencies you didn't even know were there—and cross-references them against a massive CVE database.
A typical Snyk alert looks like this:
✗ High severity vulnerability found in [email protected]
Description: SSRF via Proxy-Authorization header leak
Info: https://security.snyk.io/vuln/SNYK-PYTHON-REQUESTS-3333842
Introduced through: [email protected]
Fix: Upgrade to [email protected]
The fix is usually a simple version bump. However, Snyk is blind to your actual application logic. It knows if requests
is vulnerable, but it doesn't know if you're using it in a way that creates a security hole.
BrassCoders: The Source Code Specialist #
BrassCoders is a different beast. It scans your .py
files—the actual source code. It essentially acts as an orchestrator for 12 different scanners, including Bandit, Pylint, Semgrep, and ast-grep, along with custom detectors for AI-generated hallucinations.
Because it analyzes patterns rather than version numbers, it catches bugs like this:
cursor.execute(f"SELECT * FROM users WHERE id = {uid}")
BrassCoders flags this as a B608 SQL injection because the string interpolation is fundamentally unsafe, regardless of which library you use.
It also catches AI-specific failures that Snyk can't touch. For example, if an LLM agent hallucinates a library that doesn't exist (e.g., import pandas_ml
), the phantom-API detector flags it immediately.
The Verdict: Which one to use? #
Comparing the two reveals a clear divide in utility:
Snyk's Strength: Finding CVEs in third-party packages. Ifcryptography
has a padding oracle vulnerability, Snyk finds it.BrassCoders' Strength: Finding logic errors and security flaws in your own code. If you usesubprocess.run(shell=True)
, BrassCoders finds it.
If you want a real-world AI workflow that is actually secure, you need both. Snyk handles the "imported" risk, and BrassCoders handles the "written" risk. Relying on just one is like locking your front door but leaving the windows wide open.
Next Claude Code: My Workflow for Legacy Bug Fixing →