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High

Keras: TorchModuleWrapper can deserialize unsafe PyTorch pickle data

  • Disclosed: 19.07.2026
  • Updated: 11.10.2026 14:19

A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle data through the public keras.layers.TorchModuleWrapper.from_config method. This method invokes torch.load(..., weights_only=False) without requiring an explicit unsafe opt-in, such as a safe_mode=False parameter. When called outside a SafeModeScope(True) context, the absence of an ambient safe mode state permits unsafe deserialization by default. This issue can lead to arbitrary code execution if untrusted Keras layer configurations are processed using this method. The vulnerability arises because the method does not enforce safe deserialization practices unless explicitly guarded by Keras safe mode.

Affected software

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PlatformPackageVulnerable versionsFixed in
Python (PyPI) keras < 3.12.3, >= 3.13.0, < 3.15.0 3.12.3, 3.15.0

References

CVSS score 7.8/10
CVSS vector
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Weakness (CWE)
CWE-502
Platform
Python (PyPI)
Package
keras
Disclosed
19.07.2026
Updated
11.10.2026 14:19

Sources and licenses

OSV / GitHub Advisory Database - PYSEC-2026-3634 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - GHSA-v2w2-w228-c444 - CC BY 4.0

Vulnerability history: keras

All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.

All (20) in the archive
Total entries
20
First → latest
04.2024 08.2026
Without a fix
1
Exploited in attacks
0

Severity breakdown

  • Critical 2
  • High 11
  • Medium 6
  • Low 1

Disclosures per year

Severity:
  1. Keras: TorchModuleWrapper can deserialize unsafe PyTorch pickle data this entry
    High · 7.8 CVE-2026-12484 < 3.12.3, >= 3.13.0, < 3.15.0 3.12.3, 3.15.0
  2. Keras: Lambda deserialization can bypass safe mode and execute code
    High · 8.8 CVE-2026-12481 < 3.12.3, >= 3.13.0, < 3.15.0 3.12.3, 3.15.0
  3. Keras versions prior to 3.14.0 are vulnerable to a path traversal issue in the archive extraction utilities located in `keras/src/utils/file_utils.py`. The functions `filter_safe_tarinfos()` and `filt
    High · 8.1 CVE-2026-11816 < 3.14.0 3.14.0
  4. Keras has an untrusted deserialization vulnerability
    High · 8.8 CVE-2026-1462 < 3.13.2 3.13.2
  5. Keras has a Local File Disclosure via HDF5 External Storage During Keras Weight Loading
    High · 7.1 CVE-2026-1669 >= 3.13.0, < 3.13.2, >= 3.0.0, < 3.12.1 3.13.2, 3.12.1
  6. Allocation of Resources Without Limits or Throttling in the HDF5 weight loading component in Google Keras 3.0.0 through 3.13.0 on all platforms allows a remote attacker to cause a Denial of Service (D
    High · 7.5 CVE-2026-0897 >= 3.0.0, < 3.13.1 3.13.1
  7. Keras Directory Traversal Vulnerability
    High · 9.8 CVE-2025-12060 < 3.12.0 3.12.0
  8. Keras framework vulnerable to deserialization of untrusted data
    Critical · 9.8 CVE-2025-49655 >= 3.11.0, < 3.11.3 3.11.3
  9. Keras is vulnerable to Deserialization of Untrusted Data
    High · 7.3 CVE-2025-9906 < 3.11.0 3.11.0
  10. The Keras `Model.load_model` method **silently** ignores `safe_mode=True` and allows arbitrary code execution when a `.h5`/`.hdf5` file is loaded.
    High CVE-2025-9905 >= 3.0.0, < 3.11.3 3.11.3
  11. Keras vulnerable to CVE-2025-1550 bypass via reuse of internal functionality
    High · 8.8 CVE-2025-8747 >= 3.0.0, < 3.11.0 3.11.0
  12. Arbitrary Code Execution via Crafted Keras Config for Model Loading
    High CVE-2025-1550 >= 3.0.0, < 3.9.0 3.9.0
  13. Keras code injection vulnerability
    Critical · 9.8 CVE-2024-3660 < 2.13.1rc0 2.13.1rc0

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