CVE-2023-5625 (GCVE-0-2023-5625)
Vulnerability from cvelistv5 – Published: 2023-11-01 13:28 – Updated: 2025-11-20 18:06
VLAI
EPSS
VEX
Title
Python-eventlet: patch regression for cve-2021-21419 in some red hat builds
Summary
A regression was introduced in the Red Hat build of python-eventlet due to a change in the patch application strategy, resulting in a patch for CVE-2021-21419 not being applied for all builds of all products.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-07-31 20:10 UTC
CWE
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://access.redhat.com/errata/RHSA-2023:6128 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2024:0188 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2024:0213 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/security/cve/CVE-2023-5625 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2244717 | issue-trackingx_refsource_REDHAT |
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Red Hat | Ironic content for Red Hat OpenShift Container Platform 4.12 |
Unaffected:
0:0.30.2-4.el9 , < *
(rpm)
cpe:/a:redhat:openshift_ironic:4.12::el9 cpe:/a:redhat:openshift:4.12::el9 cpe:/a:redhat:openshift:4.12::el8 |
||
| Red Hat | Red Hat OpenStack Platform 17.1 for RHEL 8 |
Unaffected:
0:0.30.2-4.el8ost , < *
(rpm)
cpe:/a:redhat:openstack:17.1::el8 |
||
| Red Hat | Red Hat OpenStack Platform 17.1 for RHEL 9 |
Unaffected:
0:0.30.2-4.el9ost , < *
(rpm)
cpe:/a:redhat:openstack:17.1::el9 |
Date Public
2023-10-17 00:00
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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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