# CVE-2025-8747: Keras safe_mode bypass via internal function reuse

Source: https://junglewise.ai/threats/cve-2025-8747-keras-safe-mode-bypass-via-internal-function-reuse  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2025-08-12. Updated: 2026-05-29  
License: CC BY 4.0 with a link back

CVE-2025-8747 · Severity: high · CVSS 8.8 · Published 2025-08-12

Keras, a popular machine learning library, is vulnerable to a security bypass that occurs when loading untrusted AI models. Even when 'safe_mode' is enabled, a maliciously crafted model can trick the system into downloading and overwriting files on the user's computer. This could allow an attacker to gain full remote access to a victim's machine or execute unauthorized code by replacing critical system files.

Technologies: [keras (PyPI)](https://junglewise.ai/threats/technologies/keras). Vendors: [PyPI](https://junglewise.ai/threats/vendors/pypi).

## Quick answers

**Is CVE-2025-8747 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2025-8747 being exploited in the wild.

**How severe is CVE-2025-8747?** High severity, with a CVSS score of 8.8, published 12 August 2025.

**Which products and versions are affected?** keras (PyPI) >= 3.0.0, < 3.11.0, ECOSYSTEM:introduced=3.0.0,fixed=3.11.0.

**Is there a fix for CVE-2025-8747?** Yes. keras (PyPI): upgrade to 3.11.0 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

**How is CVE-2025-8747 attacked?** It is attacked over the network, in a software library.

**Am I affected by CVE-2025-8747?** Check whether you run keras (PyPI) at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## How to fix

- keras (PyPI): upgrade to 3.11.0 or later

  ```sh
  pip install "keras>=3.11.0"
  ```


## Technical details

A vulnerability in Keras v3 (CWE-502) allows an attacker to bypass the 'safe_mode' deserialization protection. While 'safe_mode' is intended to block arbitrary Python code in Lambda layers, the mitigation introduced for CVE-2025-1550 only checks if the module being called belongs to an internal Keras package. An attacker can craft a model that uses legitimate internal functions, such as 'keras.utils.get_file', with malicious arguments to download remote files to arbitrary local paths. This can be used to overwrite sensitive files (e.g., SSH authorized_keys) to achieve remote code execution. The issue is fixed in Keras version 3.11.0.

## Affected products

- Keras Team Keras >= 3.0.0, < 3.11.0

## Identifiers

- CVE-2025-8747
- GHSA-c9rc-mg46-23w3
- PYSEC-2025-75

## Timeline

- 2025-08-11: disclosed
- 2025-08-12: advisory
- 2025-08-12: patched: Fixed in version 3.11.0

## References

- [https://api.github.com/users/io-no](https://api.github.com/users/io-no)
- [https://github.com/io-no](https://github.com/io-no)
- [https://api.github.com/users/io-no/gists%7B/gist_id%7D](https://api.github.com/users/io-no/gists%7B/gist_id%7D)
- [https://api.github.com/users/io-no/repos](https://api.github.com/users/io-no/repos)
- [https://avatars.githubusercontent.com/u/58036457?v=4](https://avatars.githubusercontent.com/u/58036457?v=4)
- [https://api.github.com/users/io-no/events%7B/privacy%7D](https://api.github.com/users/io-no/events%7B/privacy%7D)

## Related threats

- [Keras model loading denial of service via HDF5 shape bombs](https://junglewise.ai/threats/cve-2026-12570-keras-model-loading-denial-of-service-via-hdf5-shape-bombs)
- [Keras HDF5 arbitrary file disclosure via ExternalLinks](https://junglewise.ai/threats/cve-2026-9335-keras-hdf5-arbitrary-file-disclosure-via-externallinks)
- [Keras unsafe deserialization in TorchModuleWrapper](https://junglewise.ai/threats/cve-2026-12484-keras-unsafe-deserialization-in-torchmodulewrapper)
- [Keras path traversal via symlink in filter_safe_tarinfos](https://junglewise.ai/threats/cve-2026-12482-keras-path-traversal-via-symlink-in-filter-safe-tarinfos)
- [Keras Team Keras arbitrary code execution in Lambda layer](https://junglewise.ai/threats/cve-2026-12481-keras-team-keras-arbitrary-code-execution-in-lambda-layer)