Vulnerability-Lookup

SUSE-SU-2023:0395-1

Vulnerability from csaf_suse - Published: 2023-02-13 09:11 - Updated: 2023-02-13 09:11

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-2022-42969: Fixed an excessive resource consumption that could be triggered when interacting with a Subversion repository containing crated data (bsc#1204364). This also updates python3-py to version 1.8.1 for SUSE Linux Enterprise Server.

Patchnames: SUSE-2023-395,SUSE-SLE-Module-Public-Cloud-12-2023-395,SUSE-SLE-SDK-12-SP5-2023-395,SUSE-SLE-SERVER-12-SP5-2023-395

CVE-2022-42969

6.5 (Medium)


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

Affected products

Recommended 7 products

Product	Version	Remediation
Unresolved product id: SUSE Linux Enterprise Module for Public Cloud 12:python-py-1.8.1-11.15.2.noarch	—	Vendor Fix
Unresolved product id: SUSE Linux Enterprise Module for Public Cloud 12:python3-py-1.8.1-11.15.2.noarch	—	Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server 12 SP5:python-py-1.8.1-11.15.2.noarch	—	Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server 12 SP5:python3-py-1.8.1-11.15.2.noarch	—	Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server for SAP Applications 12 SP5:python-py-1.8.1-11.15.2.noarch	—	Vendor Fix
Unresolved product id: SUSE Linux Enterprise Server for SAP Applications 12 SP5:python3-py-1.8.1-11.15.2.noarch	—	Vendor Fix
Unresolved product id: SUSE Linux Enterprise Software Development Kit 12 SP5:python3-py-1.8.1-11.15.2.noarch	—	Vendor Fix

Threats

Impact moderate

References

8 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/1204364	self
https://www.suse.com/security/cve/CVE-2022-42969/	self
https://www.suse.com/security/cve/CVE-2022-42969	external
https://bugzilla.suse.com/1204364	external

JSON

To clipboard

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}

CVE-2022-42969 (GCVE-0-2022-42969)

Vulnerability from cvelistv5 – Published: 2022-10-16 00:00 – Updated: 2025-05-14 14:15 Disputed

Summary

The py library through 1.11.0 for Python allows remote attackers to conduct a ReDoS (Regular expression Denial of Service) attack via a Subversion repository with crafted info data, because the InfoSvnCommand argument is mishandled. Note: This has been disputed by multiple third parties as not being reproduceable and they argue this is not a valid vulnerability.

Severity

5.3 (Medium)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-05-14 14:15 UTC

CWE

n/a
CWE-1333 - Inefficient Regular Expression Complexity

Assigner

mitre mitre root

References

4 references

URL	Tags
https://pypi.org/project/py
https://github.com/pytest-dev/py/issues/287
https://github.com/pytest-dev/py/blob/cb87a839605…
https://news.ycombinator.com/item?id=34163710

Show details on NVD website

JSON

To clipboard

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      "metrics": [
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            "attackComplexity": "LOW",
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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.