GHSA-xfhx-r7ww-5995: Duplicate Advisory Remote Code Execution Vulnerability

HIGH
Share
CWE-770
Published
Advisory Summary

GHSA-xfhx-r7ww-5995 is a HIGH remote code execution vulnerability (CWE-770: Allocation of Resources Without Limits or Throttling) affecting Duplicate Advisory libraries in the PyPI ecosystem. The issue involves google keras allocates resources without limits or throttling in the hdf5 weight loading component. Remediation is available by upgrading affected packages to version 3.12.1, 3.13.2.

GHSA-xfhx-r7ww-5995 at a Glance

CVE Identifier N/A
GHSA Identifier GHSA-xfhx-r7ww-5995
Severity HIGH
CVSS v3.1 Base Score N/A
CWE Classification CWE-770: Allocation of Resources Without Limits or Throttling
Affected Product Duplicate Advisory
Package Ecosystem PyPI
Published Date
Last Updated

How to Fix GHSA-xfhx-r7ww-5995

To remediate this vulnerability, upgrade all affected Duplicate Advisory dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

keras fixed: 3.12.1 
pip install keras>=3.12.1
keras fixed: 3.13.2 
pip install keras>=3.13.2
Verify Direct and Transitive Dependencies

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 GHSA-xfhx-r7ww-5995, inspect your installed packages using pip:

pip show keras

Analyze the terminal output to locate any version of Duplicate Advisory in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 3.12.1), 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-770: Allocation of Resources Without Limits or Throttling, where the product allocates a reusable resource or group of resources on behalf of an actor without imposing any intended restrictions on the size or number of resources that can be allocated. In Duplicate Advisory, 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

### Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-mgx6-5cf9-rr43. This link is maintained to preserve external references. ### Original Description Allocation of Resources Without Limits or Throttling in the HDF5 weight loading component in Google Keras 3.0.0 through 3.12.0 and 3.13.0 on all platforms allows a remote attacker to cause a Denial of Service (DoS) through memory exhaustion and a crash of the Python interpreter via a crafted .keras archive containing a valid model.weights.h5 file whose dataset declares an extremely large shape.

GHSA-xfhx-r7ww-5995 Affected Duplicate Advisory Versions

2 component(s)
Fixed Versions:
3.12.13.13.2
Product / Package Ecosystem Affected Versions Fixed Version
keras
pypi/keras
PyPI
≥ 3.0.0
< 3.12.1
3.12.1
keras
pypi/keras
PyPI
≥ 3.13.0
< 3.13.2
3.13.2

References

NVD — GHSA-xfhx-r7ww-5995 NVD
https://nvd.nist.gov/vuln/detail/CVE-2026-0897
Duplicate Advisory Source Repository REPOSITORY
https://github.com/keras-team/keras/pull/21880
Duplicate Advisory Source Repository REPOSITORY
https://github.com/keras-team/keras/pull/22081
Security Fix Commit FIX COMMIT
https://github.com/keras-team/keras/commit/7360d4f0d764fbb1fa9c6408fe53da41974dd4f6
Security Fix Commit FIX COMMIT
https://github.com/keras-team/keras/commit/f704c887bf459b42769bfc8a9182f838009afddb
Duplicate Advisory Source Repository REPOSITORY
https://github.com/keras-team/keras

Frequently Asked Questions

What is GHSA-xfhx-r7ww-5995?
GHSA-xfhx-r7ww-5995 is a security vulnerability in Duplicate Advisory involving Google Keras Allocates Resources Without Limits or Throttling in the HDF5 weight loading component under CWE-770: Allocation of Resources Without Limits or Throttling.
Which Duplicate Advisory versions are affected?
Affected versions include releases prior to 3.12.1, 3.13.2 across affected packages: keras.
What version fixes GHSA-xfhx-r7ww-5995?
Upgrading to 3.12.1, 3.13.2 (or the latest patched release for your respective branch) resolves the vulnerability.
Is keras affected?
Yes, keras is affected in releases prior to 3.12.1, 3.13.2. Upgrade your dependency to 3.12.1, 3.13.2 or later.
What CWE is associated with GHSA-xfhx-r7ww-5995?
GHSA-xfhx-r7ww-5995 is classified under CWE-770: Allocation of Resources Without Limits or Throttling (The product allocates a reusable resource or group of resources on behalf of an actor without imposing any intended restrictions on the size or number of resources that can be allocated.).
How can I check PyPI dependencies for GHSA-xfhx-r7ww-5995?
Run the dependency tree command: 'pip show keras'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
View Raw JSON 
{
  "schema_version" : "1.4.0",
  "id" : "GHSA-xfhx-r7ww-5995",
  "modified" : "2026-05-06T23:06:56Z",
  "published" : "2026-01-15T15:31:19Z",
  "withdrawn" : "2026-05-06T23:06:56Z",
  "aliases" : [ ],
  "summary" : "Duplicate Advisory: Google Keras Allocates Resources Without Limits or Throttling in the HDF5 weight loading component",
  "details" : "### Duplicate Advisory\nThis advisory has been withdrawn because it is a duplicate of GHSA-mgx6-5cf9-rr43. This link is maintained to preserve external references.\n\n### Original Description\nAllocation of Resources Without Limits or Throttling in the HDF5 weight loading component in Google Keras 3.0.0 through 3.12.0 and 3.13.0 on all platforms allows a remote attacker to cause a Denial of Service (DoS) through memory exhaustion and a crash of the Python interpreter via a crafted .keras archive containing a valid model.weights.h5 file whose dataset declares an extremely large shape.",
  "severity" : [ {
    "type" : "CVSS_V4",
    "score" : "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "keras"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "3.0.0"
      }, {
        "fixed" : "3.12.1"
      } ]
    } ]
  }, {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "keras"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "3.13.0"
      }, {
        "fixed" : "3.13.2"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2026-0897"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/keras-team/keras/pull/21880"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/keras-team/keras/pull/22081"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/keras-team/keras/commit/7360d4f0d764fbb1fa9c6408fe53da41974dd4f6"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/keras-team/keras/commit/f704c887bf459b42769bfc8a9182f838009afddb"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/keras-team/keras"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-770" ],
    "severity" : "HIGH",
    "github_reviewed" : true,
    "github_reviewed_at" : "2026-01-15T20:11:41Z",
    "nvd_published_at" : "2026-01-15T14:16:26Z"
  }
}