{"items":[{"id":"NVI-00018621","kind":"vulnerability","title":"Ludwig framework is vulnerable to insecure deserialization through its predict() method.","revision":1,"unknowns":["Customer inventory, deployment, reachability and exploitation have not been inspected."],"lifecycle":"active","identifiers":["GHSA-wcr3-gm9f-f87q","CVE-2026-31237"],"plain_summary":"GitHub lists this reviewed advisory for ludwig. 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-453b7fb8dd8c89b0b6f9739f54e938ac"],"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":"2026-05-27T22:19:35.000Z","value":"9.8 critical","meaning":"GitHub source severity; exploitability and local consequence require separate evidence.","source_id":"sr-453b7fb8dd8c89b0b6f9739f54e938ac"}],"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-453b7fb8dd8c89b0b6f9739f54e938ac","url":"https://github.com/advisories/GHSA-wcr3-gm9f-f87q","basis":"vendor_advisory","notes":"GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.","title":"GHSA-wcr3-gm9f-f87q","publisher":"GitHub Advisory Database","observed_at":"2026-11-07T00:53:22.747Z"}],"affected_context":[{"certainty":"source_listed","source_ids":["sr-453b7fb8dd8c89b0b6f9739f54e938ac"],"technology":"ludwig","known_exclusions":[],"conditions_summary":"The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization (CWE-502) through its predict() method. When a user provides a dataset file path to the predict() method, the framework automatically determines the file format. If the file is a pickle (.pkl) file, it is loaded using pandas.read_pickle() without any validation or security restrictions. This allows the deserialization of arbitrary Python objects via the unsafe pickle module. A remote attacker can exploit this by providing a maliciously crafted pickle file, leading to arbitrary code execution on the system running the Ludwig prediction.","public_affected_ranges":["<= 0.10.4"]}],"null_published_at":"2026-11-07T07:07:39.863Z","source_updated_at":"2026-05-27T22:19:35.000Z","source_disclosed_at":"2026-05-12T18:30:41.000Z","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":"2026-11-07T00:53:22.747Z"}],"next_cursor":null,"snapshot_revision":"39771"}