🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some level of obfuscation through base64 decoding and HMAC verification, raising concerns about its true intentions. While there is no clear evidence of credential harvesting, the use of these techniques can be indicative of attempts to hide malicious behavior.

presence of base64 decoding
use of HMAC verification

Per-check LLM notes

Obfuscation: The presence of base64 decoding and HMAC verification suggests potential obfuscation practices which may hide malicious activities.
Credentials: No clear signs of credential harvesting were detected, but the code patterns could be used for securing data.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 8.0

Found 4 obfuscation pattern(s)

try: MASTER_KEY = base64.b64decode(MASTER_KEY_B64) except Exception: MASTER_KEY =
rsplit(".", 1) tag = base64.b64decode(tag_b64) if verify_hmac(token.encode("utf-8"), tag,
ry: enc = json.loads(base64.b64decode(encrypted_token)) plaintext = aead_decrypt(enc, con
lue.rsplit(".", 1) tag = base64.b64decode(tag_b64) if verify_hmac(value.encode(), tag, context):

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ 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 score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ 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 GuardianUnivalle-Benito-Yucra

Create a simple web application using Flask that acts as a blog platform. This application should allow users to create accounts, log in, and post articles. Additionally, implement the following security features using the 'GuardianUnivalle-Benito-Yucra' middleware and detectors:

1. SQL Injection Protection: Ensure that all queries made to the database are protected against SQL injection attacks.
2. Cross-Site Scripting (XSS) Prevention: Safeguard user inputs from being exploited via XSS attacks.
3. Cross-Site Request Forgery (CSRF) Protection: Implement CSRF tokens to prevent unauthorized actions on behalf of authenticated users.
4. Denial of Service (DoS) Defense: Integrate mechanisms to mitigate DoS attacks.

Your task is to:
- Set up a Flask environment.
- Define models for User and Post.
- Implement user authentication and authorization.
- Allow users to post articles and view other posts.
- Utilize 'GuardianUnivalle-Benito-Yucra' to protect against the mentioned vulnerabilities.
- Document your implementation process and how each security feature works within the context of your application.