SUSE-SU-2024:3156-1
Vulnerability from csaf_suse - Published: 2024-09-06 10:13 - Updated: 2026-09-20 16:06Summary
Security update for python312-pip
Severity
Low
Notes
Title of the patch: Security update for python312-pip
Description of the patch: This update for python312-pip fixes the following issues:
- CVE-2023-5752: Avoiding injection of arbitrary configuration through Mercurial parameter. (bsc#1217353)
Patchnames: SUSE-2024-3156,SUSE-SLE-Module-Python3-15-SP6-2024-3156,openSUSE-SLE-15.6-2024-3156
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
Affected products
Recommended
5 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: SUSE Linux Enterprise Desktop 15 SP6:python312-pip-0:23.2.1-150600.3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Module for Python 3 15 SP6:python312-pip-0:23.2.1-150600.3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server 15 SP6:python312-pip-0:23.2.1-150600.3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Server for SAP Applications 15 SP6:python312-pip-0:23.2.1-150600.3.3.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 15.6:python312-pip-0:23.2.1-150600.3.3.1.noarch | — |
Vendor Fix
|
Threats
Impact
moderate
References
8 references
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
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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.
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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.
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Related by attack behaviour
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