CVE-2025-57852 (GCVE-0-2025-57852)
Vulnerability from cvelistv5 – Published: 2025-09-30 14:37 – Updated: 2026-03-06 23:45
VLAI
EPSS
VEX
Title
Openshift-ai: privilege escalation via excessive /etc/passwd permissions
Summary
A container privilege escalation flaw was found in KServe ModelMesh container images. This issue stems from the /etc/passwd file being created with group-writable permissions during build time. In certain conditions, an attacker who can execute commands within an affected container, even as a non-root user, can leverage their membership in the root group to modify the /etc/passwd file. This could allow the attacker to add a new user with any arbitrary UID, including UID 0, leading to full root privileges within the container.
Severity
6.4 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-30 15:27 UTC
CWE
- CWE-276 - Incorrect Default Permissions
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://access.redhat.com/errata/RHSA-2025:16981 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2025:16982 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2025:16983 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2025:16984 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2025:17501 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/security/cve/CVE-2025-57852 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2391105 | issue-trackingx_refsource_REDHAT |
Impacted products
5 products
| Vendor | Product | Version | |
|---|---|---|---|
| Red Hat | Red Hat OpenShift AI 2.16 |
Unaffected:
sha256:97e2bd9b587f08e135a9aeb9b3e0dc6eafa1a9bdacbb5ecb681ce9bd5aa37fc9 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.16::el8 |
|
| Red Hat | Red Hat OpenShift AI 2.19 |
Unaffected:
sha256:53ac36baa374159b9065c718a9ede821bbb61d9ebe9502b2243e0a9f7aca0d16 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.19::el8 |
|
| Red Hat | Red Hat OpenShift AI 2.21 |
Unaffected:
sha256:687c8eeed55f021ecaab1307f0e88b5b16d91f72d63b3d7168d7bbee90e8947b , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.21::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.22 |
Unaffected:
sha256:1709fa3c79aad4ba7eb9be8299949396092c8e20210124e0c0936385bc04e839 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.22::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.24 |
Unaffected:
sha256:92629b1462ca2ed121dd2f3069a005d78e00e1344d330d6a8710f53ec58b74b8 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.24::el9 |
Date Public
2025-09-30 14:25
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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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