Keras up to 3.7.x Python config.json Model.load_model code injection

CVSS Meta Temp Score
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CTI Interest Score
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7.7$0-$5k0.00

Summaryinfo

A vulnerability classified as critical was found in Keras up to 3.7.x. This vulnerability affects the function Model.load_model of the file config.json of the component Python Module Handler. Executing a manipulation can lead to code injection. This vulnerability is handled as CVE-2025-1550. The attack can be executed remotely. Additionally, an exploit exists. Upgrading the affected component is advised.

Detailsinfo

A vulnerability has been found in Keras up to 3.7.x and classified as critical. This vulnerability affects the function Model.load_model of the file config.json of the component Python Module Handler. The manipulation with an unknown input leads to a code injection vulnerability. The CWE definition for the vulnerability is CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:

The Keras Model.load_model function permits arbitrary code execution, even with safe_mode=True, through a manually constructed, malicious .keras archive. By altering the config.json file within the archive, an attacker can specify arbitrary Python modules and functions, along with their arguments, to be loaded and executed during model loading.

The advisory is shared for download at github.com. This vulnerability was named CVE-2025-1550 since 02/21/2025. The exploitation appears to be easy. The attack can be initiated remotely. Technical details and also a public exploit are known. The MITRE ATT&CK project declares the attack technique as T1059.

It is possible to download the exploit at exploit-db.com. It is declared as proof-of-concept. By approaching the search of inurl:config.json it is possible to find vulnerable targets with Google Hacking.

Upgrading to version 3.8.0 eliminates this vulnerability. Applying a patch is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

The vulnerability is also documented in the databases at Exploit-DB (52359) and EUVD (EUVD-2025-7406). Once again VulDB remains the best source for vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔍
CNA CVSS-BT Score: 🔍
CNA Vector: 🔍

CVSSv3info

VulDB Meta Base Score: 8.0
VulDB Meta Temp Score: 7.7

VulDB Base Score: 6.3
VulDB Temp Score: 5.7
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Code injection
CWE: CWE-94 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍
Google Hack: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Exploit-DB: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: Keras 3.8.0
Patch: github.com

Timelineinfo

02/21/2025 🔍
03/11/2025 +18 days 🔍
03/11/2025 +0 days 🔍
08/01/2025 +142 days 🔍

Sourcesinfo

Advisory: github.com
Status: Confirmed

CVE: CVE-2025-1550 (🔍)
GCVE (CVE): GCVE-0-2025-1550
GCVE (VulDB): GCVE-100-299236
EUVD: 🔍
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 03/11/2025 10:27
Updated: 08/01/2025 00:47
Changes: 03/11/2025 10:27 (69), 07/22/2025 14:37 (11), 07/22/2025 18:27 (1), 07/22/2025 18:36 (1), 08/01/2025 00:47 (11)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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