CVE-2022-31015
Waitress Unhandled Exception Crash Upon Select
Description
Waitress is a Web Server Gateway Interface server for Python 2 and 3. Waitress versions 2.1.0 and 2.1.1 may terminate early due to a thread closing a socket while the main thread is about to call select(). This will lead to the main thread raising an exception that is not handled and then causing the entire application to be killed. This issue has been fixed in Waitress 2.1.2 by no longer allowing the WSGI thread to close the socket. Instead, that is always delegated to the main thread. There is no work-around for this issue. However, users using waitress behind a reverse proxy server are less likely to have issues if the reverse proxy always reads the full response.
INFO
Published Date :
May 31, 2022, 11:15 p.m.
Last Modified :
June 14, 2022, 7:12 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
3.6
Exploitability Score :
2.8
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2022-31015.
| URL | Resource |
|---|---|
| https://github.com/Pylons/waitress/commit/4f6789b035610e0552738cdc4b35ca809a592d48 | Patch Third Party Advisory |
| https://github.com/Pylons/waitress/issues/374 | Exploit Issue Tracking Patch Third Party Advisory |
| https://github.com/Pylons/waitress/pull/377 | Issue Tracking Patch Third Party Advisory |
| https://github.com/Pylons/waitress/security/advisories/GHSA-f5x9-8jwc-25rw | Third Party Advisory |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2022-31015 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2022-31015 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
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CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Jun. 14, 2022
Action Type Old Value New Value Added CVSS V2 NIST (AV:N/AC:M/Au:N/C:N/I:N/A:P) Added CVSS V3.1 NIST AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H Changed Reference Type https://github.com/Pylons/waitress/commit/4f6789b035610e0552738cdc4b35ca809a592d48 No Types Assigned https://github.com/Pylons/waitress/commit/4f6789b035610e0552738cdc4b35ca809a592d48 Patch, Third Party Advisory Changed Reference Type https://github.com/Pylons/waitress/issues/374 No Types Assigned https://github.com/Pylons/waitress/issues/374 Exploit, Issue Tracking, Patch, Third Party Advisory Changed Reference Type https://github.com/Pylons/waitress/pull/377 No Types Assigned https://github.com/Pylons/waitress/pull/377 Issue Tracking, Patch, Third Party Advisory Changed Reference Type https://github.com/Pylons/waitress/security/advisories/GHSA-f5x9-8jwc-25rw No Types Assigned https://github.com/Pylons/waitress/security/advisories/GHSA-f5x9-8jwc-25rw Third Party Advisory Added CPE Configuration OR *cpe:2.3:a:agendaless:waitress:*:*:*:*:*:*:*:* versions from (including) 2.1.0 up to (excluding) 2.1.2
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2022-31015 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2022-31015
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.19 }} 0.04%
score
0.56733
percentile