AI Analysis
Final verdict: SUSPICIOUS
The package exhibits moderate risks due to network and shell execution activities, with no clear malicious intent identified. However, low maintainer activity and poor metadata quality raise concerns.
- Moderate network risk
- High shell risk
- Low maintainer activity
Per-check LLM notes
- Network: POST requests to external URLs may indicate data transmission, which could be legitimate but also raises concerns about potential data exfiltration.
- Shell: Executing scripts via subprocess.run can be risky if the input is not sanitized, potentially allowing for arbitrary code execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of low maintainer activity and poor metadata quality, raising some suspicion but not strong evidence of malice.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
sion=7.0" response = requests.post(url=url, headers=headers, verify=True, json=data) i
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 2.0
Found 1 shell execution pattern(s)
ct_info() # process = subprocess.run( # ["python", script_path, json.dumps(connection
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: accenture.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 6.0
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
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