🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risk due to potential misuse of Docker commands and unclear intentions regarding credential checks against system files.

Shell risk from Docker command usage
Credential risk from accessing /etc/passwd and /etc/group

Per-check LLM notes

Network: No network calls detected, which is normal and not suspicious.
Shell: Detection of shell execution related to Docker commands suggests the package might be intended for container management tasks, but could potentially be used for unauthorized actions if misused.
Obfuscation: No obfuscation patterns were detected.
Credentials: The code references to `/etc/passwd` and `/etc/group` may indicate an attempt to check for user or group existence, which could be part of a broader effort to avoid using system users or groups that might facilitate privilege escalation. This requires further investigation to confirm legitimacy.
Metadata: The maintainer has an incomplete profile and seems to be new or inactive, raising some suspicion but not definitive proof of malice.

📦 Package Quality Overall: Medium (5.2/10)

✦ High Test Suite 9.0

Test suite present — 16 test file(s) found

16 test file(s) detected (e.g. test_daemon_promotion_flow.py)

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (39935 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

◈ Medium Type Annotations 5.0

Partial type annotation coverage

183 type-annotated function signatures detected in source

◈ Medium Multiple Contributors 5.0

Limited contributor diversity

1 unique contributor(s) across 100 commits in greg-latuszek/alcatrazer
Single author but highly active (100 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

return False result = subprocess.run( [ "docker", "in
), ] result = subprocess.run(cmd, capture_output=True, text=True) if result.retur
succeeds.""" result = subprocess.run( ["docker", "image", "inspect", self.image_tag],
"infinity"] result = subprocess.run(cmd, capture_output=True, text=True) if result.retur
""" result = subprocess.run( ["docker", "start", self.container_name],
): return subprocess.run( ["docker", "stop", self.container_name],

⚠ Credential Harvesting score 10.0

Found 6 credential access pattern(s)

ined in our image's ``/etc/passwd`` so ``-u agent`` resolves consistently. Raises ``
UID must not exist in either /etc/passwd or /etc/group on the host, so a container escape gives the
"""True if `uid` resolves in /etc/passwd or /etc/group on the host.""" for db in ("passwd", "gro
tart`) that exists in neither /etc/passwd nor /etc/group. Mirrors the convention from the old in
user is already defined in /etc/passwd of our image so ``-u agent`` resolves consistently.
s a UID not present in either /etc/passwd or /etc/group (matching the convention from the old ini

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository greg-latuszek/alcatrazer appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 alcatrazer

Create a mini-application named 'SecretSafe' using the Python package 'alcatrazer'. This application will serve as a secure workspace for developers to execute their code snippets while ensuring that sensitive information remains protected. The app should provide a user-friendly interface where users can input their code and receive output without exposing any secret keys or sensitive data they might use within their scripts.

Core Features:
1. **Code Execution**: Users can input their Python code snippets into the application, which will then execute them in a secure environment.
2. **Secure Environment**: Utilize 'alcatrazer' to create a secure execution environment that prevents any data leaks of sensitive information such as API keys, passwords, or other secrets.
3. **Output Display**: After executing the code, display only the safe output back to the user. Ensure that no secret data is included in the returned results.
4. **User Interface**: Develop a simple web interface using Flask or Django where users can interact with the application. The UI should allow users to upload code files or type directly into an editor.
5. **Documentation and Examples**: Include comprehensive documentation and example usage scenarios for both users and developers who wish to extend or modify the application.

How to Use 'alcatrazer':
- Integrate 'alcatrazer' into the application setup to manage and secure the execution environment. This involves setting up 'alcatrazer' to monitor and control access to system resources and APIs that might expose sensitive data.
- When a user submits code for execution, use 'alcatrazer' to isolate the execution context, ensuring that no unauthorized data leaves the secure environment.
- After execution, verify that the output does not contain any sensitive information before displaying it to the user.

This project aims to demonstrate the practical application of 'alcatrazer' in enhancing security for developers working with potentially sensitive code.