CVE-2026-17557

mediumpriority · track · 26EPSS 0.003 · 26 %ileUS
grimoire priorityP3 · Track
Exploitable?
—
no known exploitation
Likely / severe?
0.33% (26th) EPSS
CVSS 6.5 · medium
Is it mine?
0 products
Check your exposure
Who says so?
— sources

EPSS · scored 2026-10-27

A flaw was found in the `lm-evaluation-harness` component of Red Hat OpenShift AI. An authenticated user, able to submit an evaluation job, could exploit this by providing a malicious model URL in the `JobSpec`. This vulnerability allows for the disclosure of the tenant's model authentication secret to an attacker-controlled external listener. Additionally, it enables Server-Side Request Forgery (SSRF) attacks against internal network endpoints reachable from the evaluation job pod.

01

cvss

Technical severity, 0–10. One row per scoring source.

6.5
010

base score 0–10 · higher = more severe · hover a vector to decode

v3.16.5mediumCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:Nprimary · secalert@redhat.com USexploitability 2.8 · impact 3.6
v3.16mediumCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N/E:Usecondary · CVSS-BT (t0sche)
02

weaknesses

The CWE weakness classes this flaw belongs to.

CWE-918US
03

affected products

Products and version ranges known to be affected.

No affected products recorded.

04

sources

Which sources assert this record, and when.

NVDCVE.orgMITRE
published 2026-10-21modified 2026-10-22
05

references (2) nvd

External citations — patches, advisories, analysis.

scry

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