AI Analysis
Based on the high credential risk and significant obfuscation risk, there is a notable concern that this package may be harvesting sensitive information or using obfuscation techniques to evade detection. While other risks are moderate, they support the notion of potential malicious intent.
- High credential risk indicating potential credential harvesting
- Significant obfuscation suggesting evasion tactics
Per-check LLM notes
- Network: Network calls to external APIs and localhost suggest potential for data exfiltration or C2 communication.
- Shell: Use of subprocess to execute commands may indicate legitimate functionality but could also be used for malicious purposes.
- Obfuscation: The detected patterns suggest potential malicious obfuscation aimed at evading detection or analysis.
- Credentials: The code is likely harvesting credentials, specifically an API key, which poses a significant security risk.
- Metadata: The author has only one package on PyPI, which could indicate a new or less active maintainer, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Medium (6.0/10)
Test suite present — 14 test file(s) found
14 test file(s) detected (e.g. test_agent_chat.py)
Some documentation present
Documentation URL: "Documentation" -> https://github.com/hyun06000/AIL/blob/main/spec/08-referenceDetailed PyPI description (4993 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
281 type-annotated function signatures detected in source
Limited contributor diversity
1 unique contributor(s) across 100 commits in hyun06000/AILSingle author but highly active (100 commits)
Heuristic Checks
Found 5 network call pattern(s)
encode("utf-8") req = urllib.request.Request( f"{self.host}/api/chat", datry: with urllib.request.urlopen(req, timeout=self.timeout) as resp:encode("utf-8") req = urllib.request.Request( f"{self.base_url}/v1/chat/completions",60): try: urllib.request.urlopen( f"http://127.0.0.1:{port}/healthz",_serve(proj, port) req = urllib.request.Request( f"http://127.0.0.1:{port}/", data=b
Found 4 obfuscation pattern(s)
b"\xe2\x86\x90 \xed\x8e\xb8\xec\xa7\x91\xec\x9c\xbc\xeb\xa1\x9c</a>" b"<a href='#' onclick=\"if(conref='#' onclick=\"if(confirm('\xec\x84\x9c\xeb\xb2\x84\xeb\xa5\xbc \xec\xa2\x85\xeb\xa3\x8c\xed\x95\xa0\xea\xb9\x8c\xec\x9a\x94\x9c\xeb\xb2\x84\xeb\xa5\xbc \xec\xa2\x85\xeb\xa3\x8c\xed\x95\xa0\xea\xb9\x8c\xec\x9a\x94?')){fetch('/admin/stop',{method:'POST'}).then(()=>document.0\\'>\xec\x84\x9c\xeb\xb2\x84 \xec\xa2\x85\xeb\xa3\x8c\xeb\x90\xa8</h2>');}return false;\" " b"style='
Found 4 shell execution pattern(s)
logf: proc = subprocess.Popen( [sys.executable, "-m", "ail", "init", nlogf: proc = subprocess.Popen( [sys.executable, "-m", "ail", "edit", slog_fh.flush() proc = subprocess.Popen( cmd, stdout=log_fh, stderr=subprocess.STDOU.update(env_extra) proc = subprocess.run( [sys.executable, "-m", "ail"] + args, cwd=s
Found 1 credential access pattern(s)
try: key = getpass.getpass("Anthropic API key (or empty to skip): ") except (EO
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository hyun06000/AIL appears legitimate
1 maintainer concern(s) found
Author "AIL Project Contributors" 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 ail-interpreter package to demonstrate its core features.
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