CVE-2022-23833 Overview
CVE-2022-23833 is a Denial of Service vulnerability discovered in Django's MultiPartParser component. The vulnerability exists in Django versions 2.2 before 2.2.27, 3.2 before 3.2.12, and 4.0 before 4.0.2. Passing certain malformed inputs to multipart forms could result in an infinite loop when parsing files, causing the server to become unresponsive and consuming system resources indefinitely.
Critical Impact
Attackers can remotely trigger an infinite loop in Django's file upload parsing mechanism, leading to complete service unavailability without requiring authentication.
Affected Products
- Django versions 2.2 before 2.2.27
- Django versions 3.2 before 3.2.12
- Django versions 4.0 before 4.0.2
- Fedora 34 and 35 (bundled Django packages)
- Debian Linux 11.0 (bundled Django packages)
Discovery Timeline
- February 1, 2022 - Django Project releases security advisory and patches
- February 3, 2022 - CVE-2022-23833 published to NVD
- November 21, 2024 - Last updated in NVD database
Technical Details for CVE-2022-23833
Vulnerability Analysis
This vulnerability is classified as CWE-835 (Loop with Unreachable Exit Condition), commonly known as an infinite loop vulnerability. The flaw exists in Django's MultiPartParser class, specifically in the file upload handling logic within django/http/multipartparser.py.
The vulnerable code processes base64-encoded file uploads and attempts to read additional chunks to ensure proper 4-byte alignment for base64 decoding. The parsing loop reads data in chunks and strips whitespace to calculate the remaining bytes needed for proper alignment. However, when the end of the stream is reached and field_stream.read() returns an empty result, the original code failed to check for this condition, causing the while loop to continue indefinitely.
An attacker can exploit this by sending a specially crafted multipart form request with malformed base64-encoded file data that causes the alignment calculation to never reach zero, triggering the infinite loop condition.
Root Cause
The root cause is a missing termination check in the while loop that processes base64-encoded file upload chunks. The code calculates the remaining bytes needed for proper 4-byte base64 alignment using remaining = len(stripped_chunk) % 4. When additional data is read via field_stream.read(4 - remaining), the code did not verify whether the read operation returned any data. If the stream is exhausted and returns an empty byte string, the loop continues indefinitely because the remaining calculation never changes.
Attack Vector
The attack is network-based and requires no authentication or user interaction. An attacker can send malicious HTTP multipart form requests to any Django endpoint that accepts file uploads. The attack exploits the following conditions:
- Target application uses Django's built-in file upload handling
- Attacker sends a crafted multipart request with specific base64-encoded content
- The malformed input causes the base64 chunk alignment logic to enter an infinite loop
- Server thread becomes unresponsive, consuming CPU resources
# Security patch applied to django/http/multipartparser.py
# Source: https://github.com/django/django/commit/c477b761804984c932704554ad35f78a2e230c6a
remaining = len(stripped_chunk) % 4
while remaining != 0:
over_chunk = field_stream.read(4 - remaining)
+ if not over_chunk:
+ break
stripped_chunk += b"".join(over_chunk.split())
remaining = len(stripped_chunk) % 4
The fix adds a simple check: if not over_chunk: break - ensuring the loop terminates when the stream is exhausted.
Detection Methods for CVE-2022-23833
Indicators of Compromise
- Unusual CPU utilization spikes on web servers hosting Django applications
- HTTP worker processes stuck in processing state for extended periods
- Multipart form requests with abnormally large or malformed base64-encoded content
- Increased request timeout errors for file upload endpoints
Detection Strategies
- Monitor web server worker process CPU usage for sustained high utilization patterns
- Implement request timeout monitoring for file upload endpoints to detect hanging requests
- Deploy web application firewall (WAF) rules to inspect multipart form boundaries and content
- Audit Django version deployed across infrastructure using dependency scanning tools
- Configure application performance monitoring (APM) to alert on request processing time anomalies
Monitoring Recommendations
- Set up alerts for Django worker processes exceeding normal CPU thresholds for extended durations
- Monitor HTTP 503 and timeout error rates on endpoints accepting file uploads
- Track multipart/form-data request patterns and sizes for anomalous activity
- Implement logging for requests that exceed configured processing time thresholds
How to Mitigate CVE-2022-23833
Immediate Actions Required
- Upgrade Django to patched versions: 2.2.27, 3.2.12, or 4.0.2 or later immediately
- If immediate upgrade is not possible, consider temporarily disabling file upload functionality on affected endpoints
- Implement request timeout limits at the web server or reverse proxy level
- Review and audit all Django applications in your environment for vulnerable versions
Patch Information
Django has released security patches for all affected version branches. The fixes are available in:
- Django 2.2.27 - GitHub Commit c477b761
- Django 3.2.12 - GitHub Commit d1613356
- Django 4.0.2 - GitHub Commit f9c7d48f
For detailed information, refer to the Django Security Release Blog Post and Django Security Release Notes.
Workarounds
- Configure web server request timeouts to terminate long-running requests (e.g., 30-60 seconds)
- Implement rate limiting on file upload endpoints to reduce attack surface
- Deploy reverse proxy timeout configurations to prevent indefinite request processing
- Consider using a WAF to filter suspicious multipart form requests
# Example nginx configuration to limit request processing time
# Add to nginx server or location block for Django endpoints
location /upload/ {
proxy_pass http://django_backend;
proxy_read_timeout 30s;
proxy_connect_timeout 10s;
proxy_send_timeout 30s;
client_max_body_size 10M;
client_body_timeout 30s;
}
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

