CVE-2014-1830
Sensitive Information Exposure in Python Requests
- CVSS 5.0
- CWE-200: Exposure of Sensitive Information to an Unauthorized Actor
- Information Leakage
- Remote
Requests (aka python-requests) before 2.3.0 allows remote servers to obtain sensitive information by reading the Proxy-Authorization header in a redirected request.
- CVSS base score
- 5.0
- Published
- 2014-10-15
- OWASP
- A05 Security Misconfiguration
- Orthogonal defect classification
- Interface
- Code defect classification
- Incorrect Interface
- Category
- Information Leakage
- Subcategory
- Insecure Handling of Sensitive Data
- Accessibility scope
- Remote
- Impact
- Information Disclosure
- Fixed by upgrading
- Yes
Solution
Upgrade python-requests to version 2.3.0 or higher.
Vulnerable code sample
import SimpleHTTPServer
import SocketServer
PORT = 8000
Handler = SimpleHTTPServer.SimpleHTTPRequestHandler
httpd = SocketServer.TCPServer(("", PORT), Handler)
print("serving at port", PORT)
httpd.serve_forever()Patched code sample
import http.server
import os
import socketserver
PORT = 8000
class HTTPRequestHandler(http.server.SimpleHTTPRequestHandler):
def translate_path(self, path):
path = super().translate_path(path)
root = os.path.abspath(self.directory)
if not os.path.abspath(path).startswith(root):
raise Exception("Unauthorized access to {}".format(path))
return path
Handler = HTTPRequestHandler
with socketserver.TCPServer(("", PORT), Handler) as httpd:
print("serving at port", PORT)
httpd.serve_forever()Cite this entry
@misc{vaitp:cve20141830,
title = {{Sensitive Information Exposure in Python Requests}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2014},
note = {VAITP Python Vulnerability Dataset, entry CVE-2014-1830},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2014-1830/}}
}
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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