{"answers":{"affected":"","exploited":"There is no known exploitation of CVE-2026-31219 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2026-31219 yet. Limit exposure of the affected software until one is available.","what":"CVE-2026-31219 is a high-severity unsafe deserialization vulnerability in n/a, published on 12 May 2026. Any signed-in user can exploit it over the network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2026-31219 and fix it if it is affected.\n\nWhat it is: CVE-2026-31219 is a high-severity unsafe deserialization vulnerability in n/a, published on 12 May 2026. Any signed-in user can exploit it over the network, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2026-31219 in the wild and no public exploit code.\n\nAffected product: n/a. No package-level version data is available, so check the vendor advisory linked from the reference page.\n\nTask:\n1. Search the dependency manifests and lockfiles (for example package.json, package-lock.json, requirements.txt, poetry.lock, uv.lock, pom.xml, build.gradle, go.mod, Cargo.lock, Gemfile.lock) and any Dockerfiles for the affected packages, including transitive dependencies.\n2. If an affected version is in use, upgrade it to the fixed version for its release line with the project's package manager, so the lockfile is regenerated. Prefer the smallest upgrade that fixes it.\n3. If there is no fix, or the upgrade would break the build, do not guess: explain the risk and the safest workaround instead.\n4. Run the tests and summarise what changed and why.\n5. If nothing in the project is affected, say so and change nothing.\n\nReference: https://insights.sbomify.com/CVE-2026-31219/ (Markdown: https://insights.sbomify.com/CVE-2026-31219/index.md)","id":"CVE-2026-31219","markdown":"https://insights.sbomify.com/CVE-2026-31219/index.md","name":"CVE-2026-31219","record":{"aliases":["GHSA-f5xg-pvfx-vwh9"],"analysis":{"component_type":"library","fix_type":"patch","impacts":["code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"Python ML library","requires_auth":"low_privilege","summary":"A remote attacker can execute arbitrary code by providing a malicious model file to the optimate project due to insecure deserialization in torch.load.","user_interaction":"not_required","vuln_class":"deserialization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"mitre","cpe":[],"cvss":{"score":8.8,"severity":"high","source":"cisa-adp","vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H","version":"3.1"},"cwes":[{"id":"CWE-502","name":"Deserialization of Untrusted Data"}],"description":"The _load_model() function in the neural_magic_training.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f (2024-07-21) is vulnerable to insecure deserialization (CWE-502). When a user provides a single model file path (e.g., .pt or .pth) via the --model command-line argument, the function loads the file using torch.load() without enabling the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects through the Pickle module. A remote attacker can exploit this by providing a maliciously crafted model file, leading to arbitrary code execution during deserialization on the victim's system.","ecosystems":[],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":false,"headline":"Deserialization in n/a","id":"CVE-2026-31219","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"deserialization","year":"2026"},"n_packages":0,"n_references":2,"next":{"headline":"PySyft server-side arbitrary Python execution after code approval","id":"CVE-2026-31220"},"packages":[],"prev":{"headline":"Deserialization in n/a","id":"CVE-2026-31218"},"products":["n/a"],"published":"2026-05-12","related":[],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"class":"attribution","licence":"CWE Terms of Use","name":"CWE (MITRE)"},{"class":"attribution","licence":"FIRST CVSS licence","name":"CVSS (FIRST)"}],"ssvc":{"automatable":"no","exploitation":"none","technical_impact":"total"},"state":"PUBLISHED","updated":"2026-05-15","vendors":["n/a"]},"summary":"A remote attacker can execute arbitrary code by providing a malicious model file to the optimate project due to insecure deserialization in torch.load.","url":"https://insights.sbomify.com/CVE-2026-31219/"}