{"items":[{"id":"NVI-00015134","kind":"vulnerability","title":"Keras: HDF5 links can disclose local file contents","revision":2,"unknowns":["Customer inventory, deployment, reachability and exploitation have not been inspected."],"lifecycle":"active","identifiers":["GHSA-m8wh-29wm-52mv","CVE-2026-9335"],"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-0123822b50fada918005986362b01a83"],"action_type":"investigate","limitations":"Confirm current vendor support, compatibility and deployment evidence. This report has not tested a fix in your system.","current_supported_target":null}],"schema_version":"1.1.0","source_metrics":[{"kind":"CVSS","as_of":"2026-08-07T20:35:49.000Z","value":"6.5 medium","meaning":"GitHub source severity; exploitability and local consequence require separate evidence.","source_id":"sr-2a38c5363257c76c28b47e4ab6c80d75"},{"kind":"EPSS","as_of":"2026-11-03T12:00:27.000Z","value":"0.767%","meaning":"FIRST EPSS model v2026.06.15; exploitation probability over 30 days, percentile 0.55572. Missing scores are unknown.","source_id":"sr-0123822b50fada918005986362b01a83"}],"why_it_matters":"Published affected context helps an owner decide what evidence to gather. This report has not examined your application.","related_sources":[{"id":"sr-2a38c5363257c76c28b47e4ab6c80d75","url":"https://github.com/advisories/GHSA-m8wh-29wm-52mv","basis":"vendor_advisory","notes":"GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.","title":"GHSA-m8wh-29wm-52mv","publisher":"GitHub Advisory Database","observed_at":"2026-11-02T20:17:12.848Z"},{"id":"sr-0123822b50fada918005986362b01a83","url":"https://www.first.org/epss/data.html","basis":"official_catalog","notes":"FIRST EPSS; probability of exploitation in the next 30 days, not local compromise. Dataset date/model retained; FIRST services terms apply.","title":"CVE-2026-9335","publisher":"FIRST EPSS","observed_at":"2026-11-03T17:45:16.089Z"}],"affected_context":[{"certainty":"source_listed","source_ids":["sr-2a38c5363257c76c28b47e4ab6c80d75"],"technology":"keras","known_exclusions":[],"conditions_summary":"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.","public_affected_ranges":["< 3.12.3"]},{"certainty":"source_listed","source_ids":["sr-2a38c5363257c76c28b47e4ab6c80d75"],"technology":"keras","known_exclusions":[],"conditions_summary":"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.","public_affected_ranges":[">= 3.13.0, < 3.15.0"]}],"null_published_at":"2026-11-04T10:04:41.530Z","source_updated_at":"2026-08-07T20:35:49.000Z","source_disclosed_at":"2026-08-02T06:30:20.000Z","is_synthetic_fixture":false,"null_last_reviewed_at":null,"public_change_summary":"Dated EPSS estimate updated; this is not a new disclosure or proof of exploitation.","null_first_observed_at":"2026-11-02T20:17:12.848Z"},{"id":"NVI-00015134","kind":"vulnerability","title":"Keras: HDF5 links can disclose local file contents","revision":1,"unknowns":["Customer inventory, deployment, reachability and exploitation have not been inspected."],"lifecycle":"active","identifiers":["GHSA-m8wh-29wm-52mv","CVE-2026-9335"],"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-2a38c5363257c76c28b47e4ab6c80d75"],"action_type":"investigate","limitations":"Confirm current vendor support, compatibility and deployment evidence. This report has not tested a fix in your system.","current_supported_target":null}],"schema_version":"1.1.0","source_metrics":[{"kind":"CVSS","as_of":"2026-08-07T20:35:49.000Z","value":"6.5 medium","meaning":"GitHub source severity; exploitability and local consequence require separate evidence.","source_id":"sr-2a38c5363257c76c28b47e4ab6c80d75"}],"why_it_matters":"Published affected context helps an owner decide what evidence to gather. This report has not examined your application.","related_sources":[{"id":"sr-2a38c5363257c76c28b47e4ab6c80d75","url":"https://github.com/advisories/GHSA-m8wh-29wm-52mv","basis":"vendor_advisory","notes":"GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.","title":"GHSA-m8wh-29wm-52mv","publisher":"GitHub Advisory Database","observed_at":"2026-11-02T20:17:12.848Z"}],"affected_context":[{"certainty":"source_listed","source_ids":["sr-2a38c5363257c76c28b47e4ab6c80d75"],"technology":"keras","known_exclusions":[],"conditions_summary":"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.","public_affected_ranges":["< 3.12.3"]},{"certainty":"source_listed","source_ids":["sr-2a38c5363257c76c28b47e4ab6c80d75"],"technology":"keras","known_exclusions":[],"conditions_summary":"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.","public_affected_ranges":[">= 3.13.0, < 3.15.0"]}],"null_published_at":"2026-11-03T10:03:26.553Z","source_updated_at":"2026-08-07T20:35:49.000Z","source_disclosed_at":"2026-08-02T06:30:20.000Z","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"}