{"items":[{"id":"NVI-00016356","kind":"vulnerability","title":"Keras: HDF5 virtual datasets can disclose local files","revision":4,"unknowns":["Customer inventory, deployment, reachability and exploitation have not been inspected.","NVD lastModified does not establish freshness of every associated CPE record."],"lifecycle":"active","identifiers":["GHSA-26c4-7vv6-867j","CVE-2026-12480"],"plain_summary":"GitHub lists this reviewed advisory for keras, keras. Published version ranges and source prerequisites are shown below; this is not an inspection of a visitor’s application.","review_status":"source_listed","control_topics":[],"public_actions":[{"summary":"Identify the exact component and deployed version, examine the linked publisher’s conditions, and retain evidence of any mitigation.","source_ids":["sr-057a153312c33d61e10188c476b5c7dd"],"action_type":"investigate","limitations":"Confirm current vendor support, compatibility and deployment evidence. 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This allows an attacker to craft a malicious `.keras` model archive or `.h5` weights file containing a Virtual Dataset (VDS) that references external HDF5 files on the victim's filesystem. When the victim loads the model using `keras.models.load_model()` or `keras.saving.load_model()`, the external file is transparently read, leading to potential information disclosure. Fixed in versions 3.12.3 and 3.15.0.","public_affected_ranges":["< 3.12.3"]},{"certainty":"source_listed","source_ids":["sr-6a90e7e25e5d31a1be66a8f42d05476e"],"technology":"keras","known_exclusions":[],"conditions_summary":"Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the `H5IOStore._verify_dataset()` and `file_editor.py` methods, which fail to check the `dataset.is_virtual` property of HDF5 datasets. This allows an attacker to craft a malicious `.keras` model archive or `.h5` weights file containing a Virtual Dataset (VDS) that references external HDF5 files on the victim's filesystem. When the victim loads the model using `keras.models.load_model()` or `keras.saving.load_model()`, the external file is transparently read, leading to potential information disclosure. 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This allows an attacker to craft a malicious `.keras` model archive or `.h5` weights file containing a Virtual Dataset (VDS) that references external HDF5 files on the victim's filesystem. When the victim loads the model using `keras.models.load_model()` or `keras.saving.load_model()`, the external file is transparently read, leading to potential information disclosure. Fixed in versions 3.12.3 and 3.15.0.","public_affected_ranges":["< 3.12.3"]},{"certainty":"source_listed","source_ids":["sr-6a90e7e25e5d31a1be66a8f42d05476e"],"technology":"keras","known_exclusions":[],"conditions_summary":"Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the `H5IOStore._verify_dataset()` and `file_editor.py` methods, which fail to check the `dataset.is_virtual` property of HDF5 datasets. This allows an attacker to craft a malicious `.keras` model archive or `.h5` weights file containing a Virtual Dataset (VDS) that references external HDF5 files on the victim's filesystem. When the victim loads the model using `keras.models.load_model()` or `keras.saving.load_model()`, the external file is transparently read, leading to potential information disclosure. 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This allows an attacker to craft a malicious `.keras` model archive or `.h5` weights file containing a Virtual Dataset (VDS) that references external HDF5 files on the victim's filesystem. When the victim loads the model using `keras.models.load_model()` or `keras.saving.load_model()`, the external file is transparently read, leading to potential information disclosure. Fixed in versions 3.12.3 and 3.15.0.","public_affected_ranges":["< 3.12.3"]},{"certainty":"source_listed","source_ids":["sr-6a90e7e25e5d31a1be66a8f42d05476e"],"technology":"keras","known_exclusions":[],"conditions_summary":"Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the `H5IOStore._verify_dataset()` and `file_editor.py` methods, which fail to check the `dataset.is_virtual` property of HDF5 datasets. This allows an attacker to craft a malicious `.keras` model archive or `.h5` weights file containing a Virtual Dataset (VDS) that references external HDF5 files on the victim's filesystem. When the victim loads the model using `keras.models.load_model()` or `keras.saving.load_model()`, the external file is transparently read, leading to potential information disclosure. Fixed in versions 3.12.3 and 3.15.0.","public_affected_ranges":[">= 3.13.0, < 3.15.0"]}],"null_published_at":"2026-11-04T10:04:27.935Z","source_updated_at":"2026-08-07T20:28:59.000Z","source_disclosed_at":"2026-07-01T18:31:51.000Z","is_synthetic_fixture":false,"null_last_reviewed_at":null,"public_change_summary":"First indexed by Null; source disclosure date is shown separately.","null_first_observed_at":"2026-11-02T20:17:12.848Z"}],"next_cursor":null,"snapshot_revision":"42594"}