8.8

CVE-2026-6859: redhat enterprise_linux_ai

CVSS: 8.8v3.1HighModified
AliasesGHSA-rxpq-xgqx-fr7pPYSEC-2026-2522
Published 22-04-2026Last modified 15-07-2026
Open JSON

Vulnerability summary

CVE-2026-6859 is a high (CVSS 8.8) vulnerability in redhat enterprise_linux_ai. EPSS estimates a 0.77% chance of exploitation in the next 30 days, higher than 54.7% of scored vulnerabilities.

Overall risk
35/100
0100
Medium · default modelHow is this calculated?
CVSS score
8.8/10
010
High · v3.1 (CVE.org)
EPSS score
0.77%
0%100%
Low · +0.33 pp in 30 days
KEVNot listedIn no KEV catalog
RansomwareNone recordedNo known use recorded
Public exploits0No public exploits recorded

Timeline

  1. 22-04-2026
    PublishedVulnerability first disclosed.
  2. 15-07-2026
    Last modifiedVulnerability information updated.

Description

A flaw was found in InstructLab. The `linux_train.py` script hardcodes `trust_remote_code=True` when loading models from HuggingFace. This allows a remote attacker to achieve arbitrary Python code execution by convincing a user to run `ilab train/download/generate` with a specially crafted malicious model from the HuggingFace Hub. This vulnerability can lead to complete system compromise.

CVSS metrics

3 scores · 3 sources · 1 version

EPSS trend

Probability

0.77%

Chance of exploitation in the next 30 days

Percentile

55%

Versus all other CVEs

30-day change

+0.33 pp

From 0.44% on 20-09-2026

20-09-202620-10-2026
EPSS score
0.77%

Known exploited

Compare KEV catalogs

Not in any of the 3 tracked catalogs.

Public exploits

0 found

No public exploits indexed.

Weaknesses

CWE · root cause

Affected systems

Redhat2 products
PyPI1 product
  • instructlab≤ 0.26.1

2 vendors · 3 products

References

7 links