SUSE-SU-2024:2249-1
Vulnerability from csaf_suse - Published: 2024-07-01 12:04 - Updated: 2026-09-20 15:56Summary
Security update for python39
Severity
Moderate
Notes
Title of the patch: Security update for python39
Description of the patch: This update for python39 fixes the following issues:
- CVE-2024-4032: Rearranging definition of private v global IP. (bsc#1226448)
- CVE-2024-0397: Remove a memory race condition in ssl.SSLContext certificate store methods. (bsc#1226447)
Patchnames: SUSE-2024-2249,SUSE-SUSE-MicroOS-5.1-2024-2249
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
4.8 (Medium)
Affected products
Recommended
9 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: SUSE Linux Enterprise Micro 5.1:libpython3_6m1_0-0:3.6.15-150000.3.150.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Micro 5.1:libpython3_6m1_0-0:3.6.15-150000.3.150.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Micro 5.1:libpython3_6m1_0-0:3.6.15-150000.3.150.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Micro 5.1:python3-0:3.6.15-150000.3.150.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Micro 5.1:python3-0:3.6.15-150000.3.150.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Micro 5.1:python3-0:3.6.15-150000.3.150.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Micro 5.1:python3-base-0:3.6.15-150000.3.150.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Micro 5.1:python3-base-0:3.6.15-150000.3.150.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: SUSE Linux Enterprise Micro 5.1:python3-base-0:3.6.15-150000.3.150.1.x86_64 | — |
Vendor Fix
|
Threats
Impact
moderate
Affected products
Recommended
9 products, the same list as for
CVE-2024-0397
Threats
Impact
low
References
12 references
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"text": "A defect was discovered in the Python \"ssl\" module where there is a memory\nrace condition with the ssl.SSLContext methods \"cert_store_stats()\" and\n\"get_ca_certs()\". The race condition can be triggered if the methods are\ncalled at the same time as certificates are loaded into the SSLContext,\nsuch as during the TLS handshake with a certificate directory configured.\nThis issue is fixed in CPython 3.10.14, 3.11.9, 3.12.3, and 3.13.0a5.",
"title": "CVE description"
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}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
- 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.
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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
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.
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