CVE-2026-82049 The advisory has been revoked - it doesn't affect any version of package python3.11 (opens in a new tab)
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-DEBIAN12-PYTHON311-19823942
- published15 Sept 2026
- disclosed14 Sept 2026
Introduced: 14 Sep 2026
CVE-2026-82049 (opens in a new tab)Amendment
The Debian security team deemed this advisory irrelevant for Debian:12.
NVD Description
Note: Versions mentioned in the description apply only to the upstream python3.11 package and not the python3.11 package as distributed by Debian.
In CPython 3.13 and earlier, the tarfile module's data and tar extraction filters are vulnerable to crafted archives containing a hard link to a symbolic link. Such archives may cause extraction to modify the permissions or modification time of a file outside the destination directory, or expose the contents of that file within the extracted tree.
References
- https://security-tracker.debian.org/tracker/CVE-2026-82049
- https://github.com/python/cpython/commit/5a57248b22ad3b9aafcaaadae2c304a1923daeca
- https://github.com/python/cpython/issues/157190
- https://github.com/python/cpython/pull/157191
- https://mail.python.org/archives/list/security-announce@python.org/thread/EFJWGAZJA56AKSBR2WHMHQZO7RRLZPRH/
- http://www.openwall.com/lists/oss-security/2026/09/14/27
- https://github.com/python/cpython/commit/b38be2e6cf9d989075ab73412c63e003ebad4ff3
- https://github.com/python/cpython/commit/b8f23e307097552eaea2604383a12ab280520d0d
- https://github.com/python/cpython/commit/197663d63afed27f66e10e23c194e8a634e60913
- https://github.com/python/cpython/commit/28f315486b3da0352b9a1de1c3c97f4127ba4771
- https://github.com/python/cpython/commit/c66df4e70435d257fd488b35ea129c6f317433a8
- https://github.com/python/cpython/commit/cc1689830c6b9aaddded2fb9f2fe8116867e2c0e
- https://github.com/python/cpython/commit/cccc7ec30212dba2abef53ce4a2bed112ddb690c