🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits signs of obfuscation and potential runtime evaluation that could be used to hide malicious activities. Additionally, the single-package maintainer profile raises some suspicion.

Obfuscation risk: 6/10
Metadata risk: 3/10

Per-check LLM notes

Network: No network calls detected.
Shell: The detected shell execution pattern is likely for package upgrade purposes and not inherently malicious, but could be used for nefarious purposes if the source is compromised.
Obfuscation: The code shows signs of obfuscation with unusual formatting and potential for runtime evaluation which could hide malicious activities.
Credentials: No clear patterns indicative of credential harvesting were found.
Metadata: The maintainer has only one package, which might indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 10.0

Found 6 obfuscation pattern(s)

de: node.eval(env) # run repl else: print
print(node.eval(env)) except KeyboardInterrupt:
self.col = None def eval(self, env): if not isinstance(self.value, str):
res = node.eval(env) return str(res) return re
self.col = None def eval(self, env): try: if self.name not in e
self.col = None def eval(self, env): try: value = self.child.ev

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

") try: subprocess.check_call([sys.executable, "-m", "pip", "install", "--upgrade", repo])

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository las-r/aergia appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "las-r" appears to have only 1 package on PyPI (new or inactive account)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aergia-lang

Build a simple Python application using the aergia-lang package to demonstrate its core features.