CVE-2024-21644
pyLoad 0.5.0b3.dev77 allows unauthenticated access to Flask config, exposing SECRET_KEY
- CVSS 7.5
- CWE-284 Improper Access Control
- Design Defects
- Remote
pyLoad is the free and open-source Download Manager written in pure Python. Any unauthenticated user can browse to a specific URL to expose the Flask config, including the `SECRET_KEY` variable. This issue has been patched in version 0.5.0b3.dev77.
- CVSS base score
- 7.5
- Published
- 2024-01-08
- OWASP
- A05 Security Misconfiguration
- Orthogonal defect classification
- Checking
- Code defect classification
- Missing Check
- Category
- Design Defects
- Subcategory
- Security Misconfigurations
- Accessibility scope
- Remote
- Impact
- Information Disclosure
- Fixed by upgrading
- Yes
Solution
Update pyLoad to version 0.5.0b3.dev77 or later
Vulnerable code sample
from flask import Flask, jsonify
app = Flask(__name__)
app.secret_key = 'your-secret-key'
@app.route('/config', methods=['GET'])
def get_config():
# VULNERABLE: This code is susceptible to deserialization
return jsonify({'SECRET_KEY': app.secret_key})
if __name__ == '__main__':
app.run()Patched code sample
from flask import Flask, jsonify
app = Flask(__name__)
app.secret_key = 'your-secret-key'
@app.route('/config', methods=['GET'])
def get_config():
# SECURE: This version prevents deserialization
return jsonify({'message': 'Access denied'}), 403
if __name__ == '__main__':
app.run()Cite this entry
@misc{vaitp:cve202421644,
title = {{pyLoad 0.5.0b3.dev77 allows unauthenticated access to Flask config, exposing SECRET_KEY}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2024},
note = {VAITP Python Vulnerability Dataset, entry CVE-2024-21644},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2024-21644/}}
}
Introducing the "VAITP dataset": a specialized repository of Python vulnerabilities and patches, meticulously compiled for the use of the security research community. As Python's prominence grows, understanding and addressing potential security vulnerabilities become crucial. Crafted by and for the cybersecurity community, this dataset offers a valuable resource for researchers, analysts, and developers to analyze and mitigate the security risks associated with Python. Through the comprehensive exploration of vulnerabilities and corresponding patches, the VAITP dataset fosters a safer and more resilient Python ecosystem, encouraging collaborative advancements in programming security.
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