Lookup for vulnerable packages by Package URL.
| Purl | pkg:pypi/keras@3.13.2 |
| Type | pypi |
| Namespace | |
| Name | keras |
| Version | 3.13.2 |
| Qualifiers |
|
| Subpath | |
| Is_vulnerable | false |
| Next_non_vulnerable_version | null |
| Latest_non_vulnerable_version | null |
| Affected_by_vulnerabilities |
|
| Fixing_vulnerabilities |
| 0 |
| url |
VCID-1xj9-1kng-8ua4 |
| vulnerability_id |
VCID-1xj9-1kng-8ua4 |
| summary |
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 (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. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2026-0897, GHSA-mgx6-5cf9-rr43, PYSEC-2026-73
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-1xj9-1kng-8ua4 |
|
| 1 |
|
| 2 |
|
| 3 |
| url |
VCID-zsjb-zbnj-z3d8 |
| vulnerability_id |
VCID-zsjb-zbnj-z3d8 |
| summary |
Keras has a Local File Disclosure via HDF5 External Storage During Keras Weight Loading
TensorFlow / Keras continues to honor HDF5 “external storage” and `ExternalLink` features when loading weights. A malicious `.weights.h5` (or a `.keras` archive embedding such weights) can direct `load_weights()` to read from an arbitrary readable filesystem path. The bytes pulled from that path populate model tensors and become observable through inference or subsequent re-save operations. Keras “safe mode” only guards object deserialization and does not cover weight I/O, so this behaviour persists even with safe mode enabled. The issue is confirmed on the latest publicly released stack (`tensorflow 2.20.0`, `keras 3.11.3`, `h5py 3.15.1`, `numpy 2.3.4`). |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2026-1669, GHSA-3m4q-jmj6-r34q
|
| risk_score |
4.0 |
| exploitability |
0.5 |
| weighted_severity |
8.0 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-zsjb-zbnj-z3d8 |
|
|
| Risk_score | null |
| Resource_url | http://public2.vulnerablecode.io/packages/pkg:pypi/keras@3.13.2 |