Dashboard / CVE-2026-12570

CVE-2026-12570

MEDIUM
MEDIUM Priority: 0.01 BB Relevance: 36/100
Published: 2026-08-10 Modified: 2026-10-23 First seen: 2026-10-29 Status: active

Attack Surface

Low Complexity No Auth

CVSS Vector Breakdown

AV: Local
AC: Low
PR: None
UI: Required
S: Unchanged
C: None
I: None
A: High

Description

A vulnerability in keras-team/keras versions <= 3.15.0 allows for a denial of service (DoS) attack when loading malicious .keras model files via the keras.models.load_model() function. The H5IOStore.__getitem__ method in keras/src/saving/saving_lib.py does not validate the shape or size of datasets, leading to unbounded memory allocation. A specially crafted .keras file can exploit this flaw to trigger an out-of-memory (OOM) condition, causing the process to be terminated (exit code 137). This issue bypasses the fix for CVE-2026-0897, which only addressed a similar vulnerability in KerasFileEditor. The attack vector includes poisoned models from public repositories or malicious model registries, posing a risk to machine learning pipelines that process untrusted models.

Weakness Classification (1)

References & Advisories (2)

Bug Bounty Relevance

36 / 100
✓ No authentication
✓ Low complexity

CVSS Score

5.5 / 10.0 v3.0
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H

EPSS — Exploitation Probability

0.19%
Raw Score 0.001900
Percentile 8.7%
Date 2026-10-29

EPSS Trend

2026-10-29
0.00190
2026-10-28
0.00190

Intelligence Sources

nvd ref →

External Links