🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits significant risks associated with credential misuse and obfuscation techniques, raising concerns about potential malicious intent. While network and shell risks are relatively lower, the inclusion of '/etc/passwd' and the use of image headers for possible code obfuscation suggest a high likelihood of a supply-chain attack.

High credential risk due to '/etc/passwd' inclusion
Obfuscation risk through potential embedding of malicious code within images

Per-check LLM notes

Network: Network calls appear to be related to downloading files and verifying checksums, which could be legitimate for package updates or dependency management.
Shell: Shell execution is used for syntax checking an Ansible playbook, which seems intended for local automation tasks rather than malicious activity.
Obfuscation: The presence of PNG signature and partial image header suggests potential for hiding malicious code within image files, indicating high risk.
Credentials: The inclusion of '/etc/passwd' in the model path is highly suspicious and indicative of an attempt to access system files, suggesting severe risk.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

return m with patch("urllib.request.urlopen", side_effect=fake_urlopen): with pytest
flush=True) try: urllib.request.urlretrieve(_VECTOR_STORE_RELEASE_URL, archive, _progress)
m {sha256_url} ...") with urllib.request.urlopen(sha256_url) as resp: sha256_line = resp.read
ing {base_url} ...") with urllib.request.urlopen(base_url) as resp: tarball_bytes = resp.read

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

NG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x01\x00\x00\x00\x01\x08\x06\x00\x00\x00\x1f\x15\xc4\x89') png_content = generator._load_image(str(png_file))

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

playbook.""" try: subprocess.run( ["ansible-playbook", "--syntax-check", playbook

⚠ Credential Harvesting score 2.5

Found 1 credential access pattern(s)

ta=json.dumps({'model_path': '/etc/passwd'}), content_type='application/js

✓ 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 ellipse2v/SecOpsTM 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 SecOpsTM

Your task is to develop a security assessment tool named 'ThreatAnalyzer' using the Python package 'SecOpsTM'. This tool will assist cybersecurity professionals in identifying potential threats to their systems by leveraging the STRIDE threat model and integrating it with MITRE ATT&CK tactics and techniques. Here’s a step-by-step guide on how to build this tool:

1. **Project Setup**: Begin by setting up your development environment. Ensure you have Python installed and then install the 'SecOpsTM' package via pip.
2. **User Interface**: Design a simple command-line interface (CLI) for the user to interact with your tool. Users should be able to input system components and functionalities they want to assess.
3. **STRIDE Analysis**: Utilize 'SecOpsTM' to perform a STRIDE analysis on the specified system components. STRIDE stands for Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege. For each component, identify potential threats under these categories.
4. **MITRE ATT&CK Integration**: After identifying threats, integrate MITRE ATT&CK data to map each identified threat to relevant tactics and techniques. This will provide a deeper understanding of how attackers might exploit these vulnerabilities.
5. **Report Generation**: Implement a feature that generates a detailed report summarizing the STRIDE analysis results and the mapped MITRE ATT&CK tactics. The report should include recommendations for mitigating identified threats.
6. **Advanced Features** (Optional): Consider adding advanced features such as:
- Real-time threat intelligence updates from open-source feeds.
- Automated risk scoring based on the severity and likelihood of each threat.
- Customizable STRIDE parameters to fit specific organizational needs.
7. **Testing and Validation**: Test your tool thoroughly to ensure it accurately performs STRIDE analysis and correctly maps threats to MITRE ATT&CK tactics. Validate its effectiveness through case studies or real-world examples.
8. **Documentation**: Provide comprehensive documentation detailing how to use your tool, including setup instructions, usage examples, and explanations of output formats.

By following these steps, you'll create a powerful security assessment tool that leverages 'SecOpsTM' to enhance cybersecurity defenses.