Inefficient Regular Expression Complexity Affecting openshift4/ose-olm-catalogd-rhel9 package, versions *


Severity

Recommended
0.0
medium
0
10

Based on Red Hat Enterprise Linux security rating.

Threat Intelligence

EPSS
0.61% (47th percentile)

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  • Snyk IDSNYK-RHEL9-OPENSHIFT4OSEOLMCATALOGDRHEL9-20044538
  • published22 Sept 2026
  • disclosed17 Sept 2026

Introduced: 17 Sep 2026

NewCVE-2026-85999  (opens in a new tab)
CWE-1333  (opens in a new tab)

How to fix?

There is no fixed version for RHEL:9 openshift4/ose-olm-catalogd-rhel9.

NVD Description

Note: Versions mentioned in the description apply only to the upstream openshift4/ose-olm-catalogd-rhel9 package and not the openshift4/ose-olm-catalogd-rhel9 package as distributed by RHEL. See How to fix? for RHEL:9 relevant fixed versions and status.

Soup Sieve is a CSS selector library designed to be used with Beautiful Soup 4. Prior to 2.9, selector_iter in src/soupsieve/css_parser.py trims the raw selector with RE_WS_END, an end-anchored WSC whitespace-and-comment expression used with search(), so the regular expression engine retries a greedy scan at every starting offset. An attacker-controlled valid selector containing a long internal whitespace run, or a selector containing a long CSS comment run followed by another token, causes quadratic CPU work before tokenization. User-controlled selectors can reach the path through soupsieve.compile() and BeautifulSoup.select(), while applications using only hard-coded selectors are unaffected. This root cause is separate from the IDENTIFIER and VALUE backtracking vulnerability because the cost occurs in RE_WS_END.search during trimming rather than token matching. The resulting CPU consumption can hold the Python GIL, exhaust workers, and stall a service without causing memory corruption or code execution. The issue is fixed in version 2.9.

CVSS Base Scores

version 3.1