tracedsa

v1.0.0 suspicious
6.0
Medium Risk

Visualize Data Structures in real time — Python TUI + C++ backend

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package is flagged as suspicious due to its high metadata risk and potential shell execution risks.

  • High metadata risk with recent upload, single version, low maintainer activity, and incomplete author details.
  • Potential shell execution risk detected, indicating possible command injection or unauthorized code execution.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network functionality.
  • Shell: Detection of shell execution may indicate potential for command injection or unauthorized code execution, warranting further investigation.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: High risk due to recent upload, single version, low maintainer activity, and incomplete author details.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • me = name self.proc = subprocess.Popen( [get_binary(name)], stdin=subproces
✓ 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 score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 10.0

5 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Package uploaded less than 24 hours ago (2026-06-05T05:11:03.000Z)
  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)

💬 Discussion Feed

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