Skip to main content
Press slash or control plus K to focus the search. Use the arrow keys to navigate results and press enter to open a threat.
Reconnecting to live updates…

CVE-2024-6827: CWE-444 Inconsistent Interpretation of HTTP Requests in benoitc benoitc/gunicorn

0
High
VulnerabilityCVE-2024-6827cvecve-2024-6827cwe-444
Published: Thu Mar 20 2025 (03/20/2025, 10:09:55 UTC)
Source: CVE Database V5
Vendor/Project: benoitc
Product: benoitc/gunicorn

Description

Gunicorn version 21.2.0 does not properly validate the value of the 'Transfer-Encoding' header as specified in the RFC standards, which leads to the default fallback method of 'Content-Length,' making it vulnerable to TE.CL request smuggling. This vulnerability can lead to cache poisoning, data exposure, session manipulation, SSRF, XSS, DoS, data integrity compromise, security bypass, information leakage, and business logic abuse.

AI-Powered Analysis

AILast updated: 10/15/2025, 13:34:25 UTC

Technical Analysis

CVE-2024-6827 is a vulnerability classified under CWE-444 (Inconsistent Interpretation of HTTP Requests) affecting Gunicorn version 21.2.0, a widely used Python WSGI HTTP server. The issue arises from Gunicorn's improper validation of the 'Transfer-Encoding' HTTP header, which is critical for correctly parsing chunked HTTP requests as per RFC 7230. Instead of strictly enforcing the presence and correctness of 'Transfer-Encoding', Gunicorn defaults to using the 'Content-Length' header when it encounters unexpected or malformed values. This fallback behavior enables a TE.CL (Transfer-Encoding to Content-Length) HTTP request smuggling attack, where an attacker crafts a request that is interpreted differently by Gunicorn and downstream servers or proxies. Such desynchronization can lead to severe security consequences including cache poisoning, where malicious content is cached and served to other users; data exposure through unauthorized access; session manipulation allowing hijacking or fixation; server-side request forgery (SSRF) enabling internal network scanning or attacks; cross-site scripting (XSS); denial of service (DoS) by exhausting resources; data integrity compromise; security bypasses; information leakage; and abuse of business logic. The vulnerability is remotely exploitable without authentication or user interaction, increasing its risk profile. Although no public exploits are currently known, the CVSS v3.0 score of 7.5 reflects a high severity due to the potential confidentiality impact and ease of exploitation. Gunicorn is commonly deployed in web applications across various industries, making this vulnerability significant for organizations relying on it for Python web service hosting.

Potential Impact

For European organizations, the impact of CVE-2024-6827 can be substantial. Many enterprises and public sector entities in Europe use Gunicorn as part of their web application stacks, especially those leveraging Python frameworks like Django or Flask. Exploitation could lead to unauthorized data disclosure, undermining GDPR compliance and resulting in legal and financial penalties. Cache poisoning and session manipulation could degrade user trust and service integrity, impacting customer-facing applications and internal portals. SSRF and XSS attacks could facilitate lateral movement within networks or compromise end-user devices. Denial of service conditions could disrupt critical services, affecting business continuity. The vulnerability’s remote exploitability without authentication means attackers can target exposed web servers directly, increasing the attack surface. Given Europe's strong regulatory environment and emphasis on data protection, the consequences of a breach exploiting this vulnerability could be severe, including reputational damage and regulatory fines.

Mitigation Recommendations

Immediate mitigation should focus on upgrading Gunicorn to a version that properly validates the 'Transfer-Encoding' header and eliminates the fallback to 'Content-Length' parsing. Until a patch is available, organizations should implement strict input validation and filtering at the perimeter, such as configuring web application firewalls (WAFs) to detect and block malformed or suspicious 'Transfer-Encoding' headers. Reverse proxies like Nginx or Apache should be configured to reject ambiguous or conflicting HTTP headers. Network segmentation can limit the impact of SSRF and lateral movement. Monitoring and logging HTTP request anomalies can help detect exploitation attempts early. Additionally, reviewing and hardening caching mechanisms to prevent poisoning and ensuring secure session management practices will reduce risk. Organizations should also conduct penetration testing focused on HTTP request smuggling to identify vulnerable endpoints. Finally, maintaining an incident response plan tailored to web application attacks will improve readiness.

Need more detailed analysis?Get Pro

Technical Details

Data Version
5.1
Assigner Short Name
@huntr_ai
Date Reserved
2024-07-16T23:32:47.872Z
Cvss Version
3.0
State
PUBLISHED

Threat ID: 68ef9b2a178f764e1f470d50

Added to database: 10/15/2025, 1:01:30 PM

Last enriched: 10/15/2025, 1:34:25 PM

Last updated: 10/16/2025, 12:42:06 PM

Views: 1

Community Reviews

0 reviews

Crowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.

Sort by
Loading community insights…

Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.

Actions

PRO

Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.

Please log in to the Console to use AI analysis features.

Need enhanced features?

Contact root@offseq.com for Pro access with improved analysis and higher rate limits.

Latest Threats