Vulnerability-Lookup

OPENSUSE-SU-2026:21643-1

Vulnerability from csaf_opensuse - Published: 2026-08-25 06:31 - Updated: 2026-09-16 21:47

Summary

Security update for python-pip

Severity

Moderate

Notes

Title of the patch: Security update for python-pip

Description of the patch: This update for python-pip fixes the following issue: - CVE-2026-13346: incorrect handling of doubly-encoded package URLs from malicious indexes allows files to be installed to arbitrary locations on disk (bsc#1273090).

Patchnames: openSUSE-Leap-16.0-1502

CVE-2026-13346

4.2 (Medium)


                
                  CVSS:3.1/AV:N/AC:H/PR:H/UI:R/S:U/C:N/I:H/A:N

Affected products

Recommended 2 products

Product	Identifier	Version	Remediation
Unresolved product id: openSUSE Leap 16.0:python313-pip-25.0.1-160000.6.1.noarch		—	Vendor Fix
Unresolved product id: openSUSE Leap 16.0:python313-pip-wheel-25.0.1-160000.6.1.noarch		—	Vendor Fix

Threats

Impact moderate

References

6 references

URL	Category
https://www.suse.com/support/security/rating/	external
https://ftp.suse.com/pub/projects/security/csaf/o…	self
https://bugzilla.suse.com/1273090	self
https://www.suse.com/security/cve/CVE-2026-13346/	self
https://www.suse.com/security/cve/CVE-2026-13346	external
https://bugzilla.suse.com/1273090	external

JSON

To clipboard

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CVE-2026-13346 (GCVE-0-2026-13346)

Vulnerability from cvelistv5 – Published: 2026-07-29 18:33 – Updated: 2026-07-29 20:21

Title

pip absolute path traversal during download from malicious package indexes

Summary

pip would incorrectly handle doubly-encoded package URLs from indexes allowing for files to be installed to arbitrary locations on disk even when installing wheels. This vulnerability requires downloading or installing a package from a malicious package index to succeed, malicious packages alone are not able to exploit this vulnerability. Note that this vulnerability only materially impacts users running `pip download` with the `--only-binary` option as installing source distributions from an untrusted index is already an unsafe operation that executes code during install time.

Severity

5.6 (Medium)


                        
                          CVSS:4.0/AV:N/AC:H/AT:P/PR:H/UI:A/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-07-29 19:08 UTC

CWE

CWE-36 - Absolute path traversal

Assigner

PSF mitre root

References

3 references

URL	Tags
https://github.com/pypa/pip/pull/14110	patch
https://mail.python.org/archives/list/security-an…	vendor-advisory
http://www.openwall.com/lists/oss-security/2026/07/29/7

Impacted products

1 product

Vendor	Product	Version
Python Packaging Authority	pip	Affected: 0 , < 26.2 (python)

Show details on NVD website

JSON

To clipboard

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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.