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CVE Vulnerability Database
Vulnerability Database/CVE-2024-49768

CVE-2024-49768: Waitress Race Condition Vulnerability

CVE-2024-49768 is a race condition vulnerability in Agendaless Waitress that allows unauthorized request processing when lookahead is enabled. This article covers technical details, affected versions, and mitigation.

Updated: January 22, 2026

CVE-2024-49768 Overview

CVE-2024-49768 is a race condition vulnerability in Waitress, a Web Server Gateway Interface (WSGI) server for Python 2 and 3. The vulnerability exists in the HTTP request handling mechanism when request lookahead is enabled, allowing a remote attacker to exploit a timing window where a secondary pipelined request may be processed after the connection should have been closed due to a parsing error on the initial request.

Critical Impact

Attackers can bypass connection termination logic to have unauthorized requests processed by worker threads, potentially leading to information disclosure or request manipulation.

Affected Products

  • Agendaless Waitress versions prior to 3.0.1

Discovery Timeline

  • 2024-10-29 - CVE-2024-49768 published to NVD
  • 2024-11-07 - Last updated in NVD database

Technical Details for CVE-2024-49768

Vulnerability Analysis

This vulnerability is classified as CWE-367 (Time-of-check Time-of-use Race Condition). The flaw exists in how Waitress handles HTTP pipelined requests when the channel_request_lookahead feature is enabled.

Under normal operation with request lookahead disabled (the default setting), when Waitress receives a request that is exactly recv_bytes long (defaults to 8192 bytes) followed by a secondary pipelined request, the server reads the first request, encounters a parsing error, and closes the connection without processing additional requests.

However, when request lookahead is enabled, a race condition emerges. The server can process and receive the first request, begin sending an error message back to the client, and simultaneously read and queue the next request. This timing vulnerability allows the secondary request to be serviced by a worker thread even though the connection should have been terminated.

Root Cause

The root cause is a Time-of-check Time-of-use (TOCTOU) race condition in the request processing pipeline. When lookahead is enabled, the system performs concurrent operations (sending error response and reading next request) without proper synchronization, leading to a window where the connection state check becomes stale before the enforcement action completes.

Attack Vector

The attack requires network access and involves sending a specially crafted HTTP request that is exactly recv_bytes (8192 bytes by default) in length, followed immediately by a secondary pipelined HTTP request. When request lookahead is enabled:

  1. The attacker sends a malformed request of exactly 8192 bytes
  2. Immediately pipelines a second, valid HTTP request
  3. Waitress processes the first request, which fails parsing validation
  4. While the error response is being sent, the lookahead mechanism reads and queues the second request
  5. A worker thread processes the queued request despite the connection being in an error state

The attack exploits HTTP pipelining combined with the race window in the lookahead feature. Since the feature is disabled by default (channel_request_lookahead=0), only servers that have explicitly enabled this option are vulnerable.

Detection Methods for CVE-2024-49768

Indicators of Compromise

  • Unusual HTTP requests with payloads exactly 8192 bytes in length followed by pipelined requests
  • Web application logs showing requests processed after connection errors
  • Anomalous patterns of malformed requests paired with valid pipelined requests from the same source

Detection Strategies

  • Monitor for HTTP requests with exact 8192-byte payloads followed by immediate pipelined requests
  • Implement network-level inspection for HTTP pipelining abuse patterns
  • Review Waitress server configuration files for channel_request_lookahead settings greater than 0
  • Analyze web server logs for sequences of parsing errors followed by successful request processing

Monitoring Recommendations

  • Enable detailed request logging in Waitress to capture request sizes and pipelining behavior
  • Set up alerts for unusual request size patterns matching the 8192-byte threshold
  • Monitor for elevated rates of HTTP parsing errors from specific client IPs
  • Implement application-level logging to track request processing after connection error states

How to Mitigate CVE-2024-49768

Immediate Actions Required

  • Upgrade Waitress to version 3.0.1 or later which contains the fix for this race condition
  • Verify that channel_request_lookahead is set to 0 (the default) if immediate upgrade is not possible
  • Review server configurations across all environments (development, staging, production) for this setting
  • Consider implementing a web application firewall (WAF) rule to detect and block suspicious pipelined request patterns

Patch Information

The vulnerability has been fixed in Waitress version 3.0.1. The patch is available in commit e4359018537af376cf24bd13616d861e2fb76f65. For detailed information about the vulnerability and fix, refer to the GitHub Security Advisory GHSA-9298-4cf8-g4wj.

Workarounds

  • Disable the request lookahead feature by setting channel_request_lookahead=0 in your Waitress configuration
  • Deploy a reverse proxy in front of Waitress that can normalize HTTP pipelining behavior
  • Implement request size filtering at the network layer to block requests at the 8192-byte boundary followed by pipelined requests
bash
# Configuration example - Disable request lookahead in Waitress
# In your Python application startup:
# waitress.serve(app, channel_request_lookahead=0)

# Or when using command line:
# waitress-serve --channel-request-lookahead=0 myapp:app

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeRace Condition

  • Vendor/TechWaitress

  • SeverityMEDIUM

  • CVSS Score4.8

  • EPSS Probability0.42%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N
  • Impact Assessment
  • ConfidentialityHigh
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-367
  • Vendor Resources
  • GitHub Commit Log

  • GitHub Security Advisory
  • Related CVEs
  • CVE-2022-24761: Waitress HTTP Request Smuggling Flaw
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