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Open-source package vulnerability · PyPI

CVE-2024-49768: Waitress has request processing race condition in HTTP pipelining with invalid first request

criticalCVSS 4.0 9.3 · 3.1 9.1GHSA-9298-4cf8-g4wj

Impact A remote client may send a request that is exactly recvbytes (defaults to 8192) long, followed by a secondary request using HTTP pipelining. When request lookahead is disabled (default) we won't read any more requests, and when the first request fails due to a parsing error, we simply close the connection.

Published Oct 29, 2024 · Updated Jan 21, 2025

Affected packages

waitress

Ecosystem
PyPI
Affected
>= 2.0.0, < 3.0.1
Fixed in
3.0.1
Check
pip show waitress

Advisory details

From the GitHub Advisory Database (CC BY 4.0).

Impact

A remote client may send a request that is exactly recv_bytes (defaults to 8192) long, followed by a secondary request using HTTP pipelining.

When request lookahead is disabled (default) we won't read any more requests, and when the first request fails due to a parsing error, we simply close the connection.

However when request lookahead is enabled, it is possible to process and receive the first request, start sending the error message back to the client while we read the next request and queue it. This will allow the secondary request to be serviced by the worker thread while the connection should be closed.

Patches

Waitress 3.0.1 fixes the race condition.

Workarounds

Disable channel_request_lookahead, this is set to 0 by default disabling this feature. For this vulnerability this value is required to be changed from the default.

For more information

If you have any questions or comments about this advisory:

  • Open an issue in https://github.com/Pylons/waitress/issues (if not sensitive or security related)
  • email the Pylons Security mailing list: [[email protected]](mailto:[email protected]) (if security related)

Thanks

  • m4yfly and urn1ce From TianGong Team of Legendsec at Qi'anxin Group.

Credited to digitalresistor, mmerickel.

References

How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. No analysis has been written for this entry yet. Methodology