CVE-2026-9335
published 2026-08-02CVE-2026-9335: A vulnerability in keras-team/keras versions <= 3.14.0 allows arbitrary local HDF5 file content disclosure due to improper handling of HDF5 ExternalLinks. The…
PriorityP339medium6.5CVSS 3.0
AVNACLPRNUIRSUCHINAN
EPSS
0.77%
55.1th percentile
A vulnerability in keras-team/keras versions <= 3.14.0 allows arbitrary local HDF5 file content disclosure due to improper handling of HDF5 ExternalLinks. The `KerasFileEditor` and `keras.saving.load_weights` functions bypass the `safe_get_h5_group` and `safe_get_h5_dataset` helpers, which are designed to reject ExternalLinks and SoftLinks. This results in automatic dereferencing of links to external HDF5 files, enabling attackers to disclose sensitive data from the victim's local filesystem. Specifically, `KerasFileEditor` extracts attributes and datasets from linked files into its internal structures, while `keras.saving.load_weights` loads weights from linked files into the user's model. This issue can be exploited by providing a malicious `.h5`, `.weights.h5`, or `.keras` file containing ExternalLinks.
Affected
3 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| keras-team | keras-team_keras | >= unspecified < 3.12.3, 3.15.0 | 3.12.3, 3.15.0 |
| keras | keras | >= 0 < 3.12.3 | 3.12.3 |
| keras | keras | >= 3.13.0 < 3.15.0 | 3.15.0 |
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VulDB
keras-team Keras up to 3.14.0 HDF5 Link keras.saving.load_weights information disclosure (EUVD-2026-51922 / Nessus ID 331660)
vuldb·2026-09-01·CVSS 6.5
CVE-2026-9335 [MEDIUM] keras-team Keras up to 3.14.0 HDF5 Link keras.saving.load_weights information disclosure (EUVD-2026-51922 / Nessus ID 331660)
A vulnerability was found in keras-team Keras up to 3.14.0. It has been rated as problematic. The impacted element is the function keras.saving.load_weights of the component HDF5 Link Handler. This manipulation causes information disclosure.
This vulnerability is registered as CVE-2026-9335. Remote exploitation of the attack is possible. No exploit is available.
Upgrading the affected component is advised.
GHSA
Keras: HDF5 links can disclose local file contents
ghsa·2026-08-02
CVE-2026-9335 [MEDIUM] CWE-22 Keras: HDF5 links can disclose local file contents
Keras: HDF5 links can disclose local file contents
A vulnerability in keras-team/keras versions <= 3.14.0 allows arbitrary local HDF5 file content disclosure due to improper handling of HDF5 ExternalLinks. The `KerasFileEditor` and `keras.saving.load_weights` functions bypass the `safe_get_h5_group` and `safe_get_h5_dataset` helpers, which are designed to reject ExternalLinks and SoftLinks. This results in automatic dereferencing of links to external HDF5 files, enabling attackers to disclose sensitive data from the victim's local filesystem. Specifically, `KerasFileEditor` extracts attributes and datasets from linked files into its internal structures, while `keras.saving.load_weights` loads weights from linked files into the user's model. This issue can be exploited by providing a malic
GHSA
A vulnerability in keras-team/keras versions <= 3.14.0 allows arbitrary local HDF5 file content disclosure due to improper handling of HDF5 ExternalLinks.
ghsa_unreviewed·2026-08-02
CVE-2026-9335 [MEDIUM] CWE-22 A vulnerability in keras-team/keras versions <= 3.14.0 allows arbitrary local HDF5 file content disclosure due to improper handling of HDF5 ExternalLinks.
A vulnerability in keras-team/keras versions <= 3.14.0 allows arbitrary local HDF5 file content disclosure due to improper handling of HDF5 ExternalLinks. The `KerasFileEditor` and `keras.saving.load_weights` functions bypass the `safe_get_h5_group` and `safe_get_h5_dataset` helpers, which are designed to reject ExternalLinks and SoftLinks. This results in automatic dereferencing of links to external HDF5 files, enabling attackers to disclose sensitive data from the victim's local filesystem. Specifically, `KerasFileEditor` extracts attributes and datasets from linked files into its internal structures, while `keras.saving.load_weights` loads weights from linked files into the user's model. This issue can be exploited by providing a malicious `.h5`, `.weights.h5`, or `.keras` file containi
No detection rules found.
No public exploits indexed.
No writeups or analysis indexed.
2026-08-02
Published