HighVulnerability

CVE-2026-1669: Keras arbitrary file read in model loading via HDF5 integration

Source: NVD(opens in a new tab)
Identifier: CVE-2026-1669
Published: February 11, 2026
Record updated: October 9, 2026

Affected: keras >= 3.13.0, < 3.13.2, fixed in 3.13.2, released January 29, 2026, 12 days before disclosure
keras >= 3.0.0, < 3.12.1, fixed in 3.12.1, released January 30, 2026, 12 days before disclosure
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.3%

Summary

CVE-2026-1669 is an arbitrary file read flaw in the model loading mechanism (HDF5 integration) of Keras versions 3.0.0 through 3.13.1 on all supported platforms. A remote attacker can use a crafted .keras model file with HDF5 external dataset references to read local files and disclose sensitive information. Google Inc. rated it CVSS 4.0 7.1 (High), with network attack vector, no privileges required, and user interaction required.

Mitigation

The source does not state a fix yet. Check the original advisory for updates.

Details

Scores and exploitation

Patch available: Yes
EPSS: 0.3%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on November 4, 2026.

Weaknesses and techniques

Weakness (CWE): CWE-73
CWE-200
Attack pattern (CAPEC): CAPEC-116

Affected

Packages: keras@>= 3.13.0, < 3.13.2 (fixed: 3.13.2)
keras@>= 3.0.0, < 3.12.1 (fixed: 3.12.1)
Vendors: Google

Classification

Attack type: Data extraction
Attack sophistication: Moderate
AI component targeted: Framework
Impact: Confidentiality
Labels: security

How this record was produced

Summaries, mitigations and labels on this page are generated automatically from the source. The linked source is authoritative. The source gives this advisory a description and no title, so the title above is a headline generated from the source text.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-1669

First tracked: February 12, 2026 at 03:04 PM ET, from NVD/CVE Database

Classifier: claude-haiku-5-5, prompt v4

Classifier confidence: 95% (self-assessed)

Affected packages in the Exposure Registry

Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.

kerasPyPINo LLM dependency detected · 6 tracked dependents

Topics

Model and package supply chain

Summary

Mitigation

Affected packages in the Exposure Registry

Topics

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