keras up to 3.13.1 TFSMLayer from_config deserialization

CVSS Meta Temp Score
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CTI Interest Score
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7.4$0-$5k0.34

Summaryinfo

A vulnerability, which was classified as critical, has been found in keras up to 3.13.1. Affected is the function from_config of the component TFSMLayer. This manipulation causes deserialization. The identification of this vulnerability is CVE-2026-1462. It is possible to initiate the attack remotely. There is no exploit available. It is advisable to upgrade the affected component.

Detailsinfo

A vulnerability has been found in keras up to 3.13.1 and classified as critical. Affected by this vulnerability is the function from_config of the component TFSMLayer. The manipulation with an unknown input leads to a deserialization vulnerability. The CWE definition for the vulnerability is CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

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.

The advisory is shared at huntr.com. This vulnerability is known as CVE-2026-1462 since 01/27/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available.

Upgrading to version 3.13.2 eliminates this vulnerability.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-21970). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.4

VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 8.8
CNA Vector (@huntr_ai): 🔒

CVSSv2info

AVACAuCIA
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Deserialization
CWE: CWE-502 / CWE-20
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: keras 3.13.2

Timelineinfo

01/27/2026 CVE reserved
04/13/2026 +75 days Advisory disclosed
04/13/2026 +0 days VulDB entry created
04/13/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: huntr.com
Status: Confirmed

CVE: CVE-2026-1462 (🔒)
GCVE (CVE): GCVE-0-2026-1462
GCVE (VulDB): GCVE-100-357169
EUVD: 🔒

Entryinfo

Created: 04/13/2026 17:28
Updated: 04/13/2026 19:05
Changes: 04/13/2026 17:28 (63), 04/13/2026 19:05 (1)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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