AI Analysis
The package is assessed as safe with a low risk score. It uses base64 encoding which might be used for obfuscation but does not necessarily imply malicious intent.
- No network calls
- Minimal shell commands for file analysis
- Base64 decoding present
- No credential risk detected
- Low metadata risk
Per-check LLM notes
- Network: No network calls detected.
- Shell: Shell commands used for file analysis, likely benign.
- Obfuscation: Base64 decoding may indicate an attempt to hide code or data, but it could also be used for legitimate purposes like data encryption or compression.
- Credentials: No patterns indicative of credential harvesting have been detected.
- Metadata: The package has minimal engagement and the maintainer has few contributions, indicating potential low activity or newness.
Package Quality Overall: Medium (5.6/10)
Partial test coverage signals detected
1 test file(s) detected (e.g. test_ctfscan.py)
Some documentation present
Documentation URL: "Documentation" -> https://github.com/Anuragmahipal/ctfscan/blob/main/README.mdDetailed PyPI description (4304 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
6 type-annotated function signatures (partial)
Limited contributor diversity
2 unique contributor(s) across 11 commits in Anuragmahipal/ctfscanTwo distinct contributors found
Heuristic Checks
No suspicious network call patterns found
Found 1 obfuscation pattern(s)
trip() decoded = base64.b64decode(content) return decoded.decode('utf-8', errors=
Found 3 shell execution pattern(s)
try: result = subprocess.run(['exiftool', file_path],try: result = subprocess.run(['binwalk', file_path],try: result = subprocess.run(['strings', file_path],
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
1 maintainer concern(s) found
Author "Anuragmahipal" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Build a simple Python application using the anurag-ctfscan package to demonstrate its core features.