CVE-2026-1462: Keras Keras Has An Untrusted Deserialization Vulnerability
HIGHCVE-2026-1462 is a HIGH (CVSS 8.8) keras has an untrusted deserialization vulnerability (CWE-502: Deserialization of Untrusted Data) affecting Keras libraries in the PyPI ecosystem. The issue involves keras has an untrusted deserialization vulnerability. Remediation is available by upgrading affected packages to version 3.13.2.
CVE-2026-1462 at a Glance
Security Impact
CVSS: 8.8
The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H).
How to Fix CVE-2026-1462
To remediate this vulnerability, upgrade all affected Keras dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.
pip install keras>=3.13.2
Run the following command in your project directory to verify that all resolved dependencies use the patched release:
pip show keras
How to Check if You Are Affected
To determine whether your Python environment is affected by CVE-2026-1462, inspect your installed packages using pip:
pip show keras
Analyze the terminal output to locate any version of Keras in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 3.13.2), your application is affected.
Note: The pip show keras command checks currently installed packages in your active Python environment.
Technical Details
Vulnerability Mechanism & Technical Analysis
This vulnerability is classified under CWE-502: Deserialization of Untrusted Data, where the product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid. In Keras, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.
Source Advisory Statement
CVE-2026-1462 Affected Keras Versions
1 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
keras
|
PyPI |
< 3.13.2
|
3.13.2
|
References
Frequently Asked Questions
What is CVE-2026-1462?
Which Keras versions are affected?
What version fixes CVE-2026-1462?
Is keras affected?
What is the CVSS score of CVE-2026-1462?
What CWE is associated with CVE-2026-1462?
How can I check PyPI dependencies for CVE-2026-1462?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-4f3f-g24h-fr8m",
"modified" : "2026-04-14T23:17:11Z",
"published" : "2026-04-13T15:31:42Z",
"aliases" : [ "CVE-2026-1462" ],
"summary" : "Keras has an untrusted deserialization vulnerability",
"details" : "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.",
"severity" : [ {
"type" : "CVSS_V3",
"score" : "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "keras"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "0"
}, {
"fixed" : "3.13.2"
} ]
} ]
} ],
"references" : [ {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2026-1462"
}, {
"type" : "WEB",
"url" : "https://github.com/keras-team/keras/pull/22035"
}, {
"type" : "WEB",
"url" : "https://github.com/keras-team/keras/commit/b6773d3decaef1b05d8e794458e148cb362f163f"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/keras-team/keras"
}, {
"type" : "WEB",
"url" : "https://huntr.com/bounties/7e78d6f1-6977-4300-b595-e81bdbda331c"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-502" ],
"severity" : "HIGH",
"github_reviewed" : true,
"github_reviewed_at" : "2026-04-14T23:17:11Z",
"nvd_published_at" : "2026-04-13T15:17:18Z"
}
}