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VulnerabilityPublished Updated

CVE-2026-1669: Google Keras · External Control of File Name or Path

Affects Google KerasSource CVE Database V5

0

Not known to be exploited · CVSS 7.1 High : upgrade to 3.13.1 soon.

Data as of 26 Oct 2026, 14:05 UTC

CVSS 4.0 base score
7.1High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 26% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 3.13.1
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:L/VA:N/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 11 Feb 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Upgrade Google Keras to 3.13.1.

Affected software

ProductAffectedFixed in
GoogleKerasAffected
  • >=3.0.0 <3.13.1
Fixed in
  • 3.13.1

AI-suggested

Users should avoid loading untrusted or unauthenticated .keras model files that may contain malicious HDF5 external dataset references.

Description

Arbitrary file read in the model loading mechanism (HDF5 integration) in Keras versions 3.0.0 through 3.13.1 on all supported platforms allows a remote attacker to read local files and disclose sensitive information via a crafted .keras model file utilizing HDF5 external dataset references.

References

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