CVE-2025-49655
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Vulnerability report for CVE-2025-49655, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2025-10-17

Last updated on: 2025-10-21

Assigner: HiddenLayer

Description

Deserialization of untrusted data can occur in versions of the Keras framework running versions 3.11.0 up to but not including 3.11.3, enabling a maliciously uploaded Keras file containing a TorchModuleWrapper class to run arbitrary code on an end user’s system when loaded despite safe mode being enabled. The vulnerability can be triggered through both local and remote files.

CVSS Scores

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Meta Information

Published
2025-10-17
Last Modified
2025-10-21
Generated
2026-07-06
AI Q&A
2025-10-17
EPSS Evaluated
2026-07-05
NVD
EUVD

Affected Vendors & Products

Showing 3 associated CPEs
Vendor Product Version / Range
keras keras 3.11.2
keras keras 3.11.1
keras keras 3.11.0

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-502 The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.

Attack-Flow Graph

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Executive Summary

This vulnerability involves the Keras framework versions 3.11.0 up to but not including 3.11.3, where deserialization of untrusted data can occur. A maliciously crafted Keras file containing a TorchModuleWrapper class can be uploaded and, when loaded, can execute arbitrary code on the user's system even if safe mode is enabled. This can happen with both local and remote files.

Impact Analysis

The vulnerability can allow an attacker to run arbitrary code on your system without any user interaction or privileges, potentially leading to full compromise of confidentiality, integrity, and availability of your system and data.

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