CVE-2026-1462

Published: Apr 13, 2026 Last Modified: Apr 13, 2026
ExploitDB:
Other exploit source:
Google Dorks:
HIGH 8,8
Source: [email protected]
Attack Vector: network
Attack Complexity: low
Privileges Required: none
User Interaction: required
Scope: unchanged
Confidentiality: high
Integrity: high
Availability: high

Description

AI Translation Available

A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of `.keras` models, even when `safe_mode=True`. This bypasses the security guarantees of `safe_mode` and enables arbitrary attacker-controlled code execution during model inference under the victim's privileges. The issue arises due to the unconditional loading of external SavedModels, serialization of attacker-controlled file paths, and the lack of validation in the `from_config()` method.

EPSS (Exploit Prediction Scoring System)

Trend Analysis

EPSS (Exploit Prediction Scoring System)

Prevede la probabilità di sfruttamento basata su intelligence sulle minacce e sulle caratteristiche della vulnerabilità.

EPSS Score
0,0006
Percentile
0,2th
Updated

EPSS Score Trend (Last 3 Days)

502

Deserialization of Untrusted Data

Draft
Abstraction: Base Structure: Simple
Common Consequences
Security Scopes Affected:
Integrity Availability Other
Potential Impacts:
Modify Application Data Unexpected State Dos: Resource Consumption (Cpu) Varies By Context
Applicable Platforms
Languages: Java, JavaScript, PHP, Python, Ruby
Technologies: AI/ML, ICS/OT, Not Technology-Specific
Likelihood of Exploit: Medium
View CWE Details
https://github.com/keras-team/keras/commit/b6773d3decaef1b0…
https://github.com/keras-team/keras/commit/b6773d3decaef1b05d8e794458e148cb362f…
https://huntr.com/bounties/7e78d6f1-6977-4300-b595-e81bdbda…
https://huntr.com/bounties/7e78d6f1-6977-4300-b595-e81bdbda331c