{"items":[{"id":"NVI-00018560","kind":"vulnerability","title":"PyTorch is Vulnerable to Memory Consumption through pad_packed_sequence Function","revision":1,"unknowns":["Customer inventory, deployment, reachability and exploitation have not been inspected."],"lifecycle":"active","identifiers":["GHSA-f4hp-rmr7-r7v8","CVE-2025-2998"],"plain_summary":"GitHub lists this reviewed advisory for torch. 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-3bc6415b66d832312f3289c08c082f85"],"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":"2026-06-09T21:56:31.000Z","value":"5.3 medium","meaning":"GitHub source severity; exploitability and local consequence require separate evidence.","source_id":"sr-3bc6415b66d832312f3289c08c082f85"}],"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-3bc6415b66d832312f3289c08c082f85","url":"https://github.com/advisories/GHSA-f4hp-rmr7-r7v8","basis":"vendor_advisory","notes":"GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.","title":"GHSA-f4hp-rmr7-r7v8","publisher":"GitHub Advisory Database","observed_at":"2026-11-06T15:13:31.161Z"}],"affected_context":[{"certainty":"source_listed","source_ids":["sr-3bc6415b66d832312f3289c08c082f85"],"technology":"torch","known_exclusions":[],"conditions_summary":"A vulnerability was found in PyTorch 2.6.0. It has been declared as critical. Affected by this vulnerability is the function torch.nn.utils.rnn.pad_packed_sequence. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used.","public_affected_ranges":["<= 2.6.0"]}],"null_published_at":"2026-11-07T07:07:39.854Z","source_updated_at":"2026-06-09T21:56:31.000Z","source_disclosed_at":"2025-03-31T15:30:48.000Z","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":"2026-11-06T15:13:31.161Z"}],"next_cursor":null,"snapshot_revision":"42594"}