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High 7.1Published Jan 15, 2026

CVE-2026-0897Denial of Service in Keras via Excessive Memory Allocation in HDF5 Metadata

Updated under an hour ago ()

Does this affect you?

It affects Google Keras and 3 other products. Add what you run to find out whether that includes you.

No exploitation reported and no EPSS estimate yet.

Allocation of Resources Without Limits or Throttling in the HDF5 weight loading component in Google Keras 3.0.0 through 3.13.0 on all platforms allows a remote attacker to cause a Denial of Service (DoS) through memory exhaustion and a crash of the Python interpreter via a crafted .keras archive containing a valid model.weights.h5 file whose dataset declares an extremely large shape.

CVSS
7.1 HIGH (v4.0, CNA)CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
Weakness (CWE)
CWE-770
Known exploited
Not in CISA's KEV catalog
EPSS (exploitation in the next 30 days)
Not loaded for this CVE
Assigned by
Google
NVD analysis
Modified
Record last updated
Jul 14, 2026
First seen by InfoSec Signals
Oct 9, 2026

Affected products

Affected products
Google Keras
google:keras (from the name)
from 3.0.0 through 3.13.0
CNA record
from 1772094445 not affected
CISA ADP
Red Hat Red Hat Trusted Artifact Signer 1.3
redhat:trusted_artifact_signer
from 1772614635 not affected
CISA ADP
keras keras
keras:keras
from 3.0.0 through 3.13.0
NVD

References

  • issue-tracking, patch

The CVE record is authoritative. Products marked “from the name” were identified from the CNA's free-text names, not a CPE, and are matched less certainly. This product uses the NVD API but is not endorsed or certified by the NVD.

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CVE-2026-0897: Denial of Service in Keras via Excessive Memory Allocation in HDF5 Metadata | InfoSec Signals