CVE-2017-1002150
Open redirect in python-fedora <= 0.8.0 results in CSRF protection loss
- CVSS 6.1
- CWE-601 URL Redirection to Untrusted Site ('Open Redirect')
- Cryptographic
- Remote
python-fedora 0.8.0 and lower is vulnerable to an open redirect resulting in loss of CSRF protection
- CVSS base score
- 6.1
- Published
- 2017-09-14
- OWASP
- A10 Server Side Request Forgery (SSRF)
- Orthogonal defect classification
- Function
- Code defect classification
- Incorrect Functionality
- Category
- Cryptographic
- Subcategory
- Improper SSL/TLS Certificate Validation
- Accessibility scope
- Remote
- Impact
- Unauthorized Access
- Fixed by upgrading
- Yes
Solution
Update python-fedora to version 0.9.0 or higher.
Vulnerable code sample
from flask import Flask, redirect, request
app = Flask(__name__)
@app.route('/redirect')
def redirect():
next_url = request.args.get('next')
return redirect(next_url)
if __name__ == '__main__':
app.run()Patched code sample
from flask import Flask, redirect, request, url_for, abort
app = Flask(__name__)
ALLOWED_HOSTS = {'example.com', 'another-example.com'}
def is_safe_url(target):
from urllib.parse import urlparse
parsed_url = urlparse(target)
return parsed_url.netloc in ALLOWED_HOSTS
@app.route('/redirect')
def redirect():
next_url = request.args.get('next')
if next_url and is_safe_url(next_url):
return redirect(next_url)
else:
abort(400)
if __name__ == '__main__':
app.run()Cite this entry
@misc{vaitp:cve20171002150,
title = {{Open redirect in python-fedora <= 0.8.0 results in CSRF protection loss}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2017},
note = {VAITP Python Vulnerability Dataset, entry CVE-2017-1002150},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2017-1002150/}}
}
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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