Vulnerability-Lookup

SUSE-SU-2021:2236-1

Vulnerability from csaf_suse - Published: 2021-07-02 15:24 - Updated: 2026-09-20 14:00

Summary

Security update for python-py

Severity

Moderate

Notes

Title of the patch: Security update for python-py

Description of the patch: This update for python-py fixes the following issues: - CVE-2020-29651: Fixed regular expression denial of service in svnwc.py (bsc#1179805, bsc#1184505).

Patchnames: SUSE-2021-2236,SUSE-OpenStack-Cloud-7-2021-2236,SUSE-SLE-SERVER-12-SP5-2021-2236

CVE-2020-29651

5.5 (Medium)


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

Affected products

Recommended 4 products

Product	Version	Remediation
Unresolved product id: SUSE Linux Enterprise High Performance Computing 12 SP5:python-py-0:1.8.1-11.12.4.noarch	—	Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server 12 SP5:python-py-0:1.8.1-11.12.4.noarch	—	Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-py-0:1.8.1-11.12.4.noarch	—	Vendor Fix
Unresolved product id: SUSE OpenStack Cloud 7:python-py-0:1.8.1-11.12.4.noarch	—	Vendor Fix

Threats

Impact moderate

References

9 references

URL	Category
https://www.suse.com/support/security/rating/	external
https://ftp.suse.com/pub/projects/security/csaf/s…	self
https://www.suse.com/support/update/announcement/…	self
https://lists.suse.com/pipermail/sle-security-upd…	self
https://bugzilla.suse.com/1179805	self
https://bugzilla.suse.com/1184505	self
https://www.suse.com/security/cve/CVE-2020-29651/	self
https://www.suse.com/security/cve/CVE-2020-29651	external
https://bugzilla.suse.com/1179805	external

JSON

To clipboard

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CVE-2020-29651 (GCVE-0-2020-29651)

Vulnerability from cvelistv5 – Published: 2020-12-09 06:58 – Updated: 2025-11-03 21:44

Summary

A denial of service via regular expression in the py.path.svnwc component of py (aka python-py) through 1.9.0 could be used by attackers to cause a compute-time denial of service attack by supplying malicious input to the blame functionality.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root Scorecard

References

7 references

URL	Tags
https://github.com/pytest-dev/py/issues/256	x_refsource_MISC
https://github.com/pytest-dev/py/pull/257	x_refsource_MISC
https://github.com/pytest-dev/py/pull/257/commits…	x_refsource_MISC
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
https://www.oracle.com/security-alerts/cpujul2022.html	x_refsource_MISC
https://lists.debian.org/debian-lts-announce/2024…

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.

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.

Action not permitted

SUSE-SU-2021:2236-1

CVE-2020-29651 (GCVE-0-2020-29651)

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