Denial of Service via HDF5 Shape Bomb in keras.models.load_model() in keras-team/keras (keras-team keras-team/keras)

CVE-2026-12570
MEDIUM 5.5

At a glance

Source
NVD
EPSS
EPSS 0.19 % Β· percentile 9 ()
State
PUBLISHED
Published
Updated
Assigner
@huntr_ai
NVD status
Awaiting Analysis

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.

Weaknesses (CWE)

  • CWE-770 β€” Allocation of Resources Without Limits or Throttling

References

Scores

VersionScoreVectorScored by
CVSS 3.0MEDIUM 5.5CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H@huntr_ai
CVSS 3.0MEDIUM 5.5CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:HNVD Β· security@huntr.dev (Secondary)

Advisories

European references

Affected products

ProductVersions
keras-team Β· keras-team/kerasaffected unspecified < 3.12.3, 3.15.0

Sources

SourceLicence
CVE List (CVEProject cvelistV5)CVE Program Terms of Use
EPSS (FIRST.org)FIRST β€” attribution requested
ENISA EUVDENISA β€” reproduction authorised, source acknowledged
NVD (NIST) via fkie-cad/nvd-json-data-feedsPublic domain β€” this product uses data from the NVD API but is not endorsed or certified by the NVD