{"answers":{"affected":"3 open source packages ship an affected version, including snorkel. It affects 1 product.","exploited":"There is no known exploitation of CVE-2026-31222 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2026-31222 yet. Limit exposure of the affected software until one is available.","what":"CVE-2026-31222 is a high-severity unsafe deserialization vulnerability in n/a, published on 12 May 2026. An attacker can exploit it over the internet without logging in, and only if a user opens a file or follows a link."},"fix_prompt":"Check this codebase for CVE-2026-31222 and fix it if it is affected.\n\nWhat it is: CVE-2026-31222 is a high-severity unsafe deserialization vulnerability in n/a, published on 12 May 2026. An attacker can exploit it over the internet without logging in, and only if a user opens a file or follows a link.\nExploitation: There is no known exploitation of CVE-2026-31222 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- snorkel (PyPI): affected all versions up to 0.10.0; no fix listed\n- snorkel (PyPI): affected all versions up to 0.10.0; no fix listed\n- snorkel (PyPI): affected all versions up to 0.10.0; no fix listed\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-2026-31222/ (Markdown: https://insights.sbomify.com/CVE-2026-31222/index.md)","id":"CVE-2026-31222","markdown":"https://insights.sbomify.com/CVE-2026-31222/index.md","name":"CVE-2026-31222","record":{"aliases":["GHSA-78cp-f66x-qmh5","PYSEC-2026-3068"],"analysis":{"component_type":"library","fix_type":"patch","impacts":["code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"Python machine learning library","requires_auth":"none","summary":"Attackers can execute arbitrary code by tricking users into loading malicious model files with the vulnerable Trainer.load method.","user_interaction":"required","vuln_class":"deserialization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"mitre","cpe":[{"product":"snorkel","vendor":"snorkel"}],"cvss":{"score":8.8,"severity":"high","source":"cisa-adp","vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","version":"3.1"},"cwes":[{"id":"CWE-502","name":"Deserialization of Untrusted Data"}],"description":"The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the Trainer.load() method of the Trainer class. The method loads model checkpoint files using torch.load() without enabling the security-restrictive weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the Pickle module. A remote attacker can exploit this by providing a maliciously crafted model file, leading to arbitrary code execution on the victim's system when the file is loaded via the vulnerable method.","ecosystems":["PyPI"],"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":"Snorkel Trainer.load uses an unsafe torch.load","id":"CVE-2026-31222","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":null,"products":[],"type":"deserialization","year":"2026"},"n_packages":3,"n_references":2,"next":{"headline":"Snorkel BaseLabeler.load uses an unsafe pickle.load","id":"CVE-2026-31223"},"packages":[{"ecosystem":"PyPI","fixed":[],"introduced":["0"],"last_affected":["0.10.0"],"package":"snorkel","purl":null,"source":"GHSA-78cp-f66x-qmh5"},{"ecosystem":"PyPI","fixed":[],"introduced":["0"],"last_affected":["0.10.0"],"package":"snorkel","purl":"pkg:pypi/snorkel","source":"GHSA-78cp-f66x-qmh5"},{"ecosystem":"PyPI","fixed":[],"introduced":["0"],"last_affected":["0.10.0"],"package":"snorkel","purl":"pkg:pypi/snorkel","source":"PYSEC-2026-3068"}],"prev":{"headline":"PyTorch Lightning load_from_checkpoint has an insecure checkpoint deserialization","id":"CVE-2026-31221"},"products":["n/a"],"published":"2026-05-12","related":[{"cvss_score":8.8,"headline":"Snorkel BaseLabeler.load uses an unsafe pickle.load","id":"CVE-2026-31223","kev_date_added":null,"published":"2026-05-12"},{"cvss_score":8.8,"headline":"Snorkel MultitaskClassifier.load uses an unsafe torch.load","id":"CVE-2026-31224","kev_date_added":null,"published":"2026-05-12"}],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"class":"attribution","licence":"CC BY 4.0","name":"GitHub Advisory Database","prefix":"GHSA"},{"class":"attribution","licence":"CC BY 4.0","name":"PyPA Advisory Database","prefix":"PYSEC"},{"class":"attribution","licence":"US public information, NVD API terms","name":"NVD"},{"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":"Attackers can execute arbitrary code by tricking users into loading malicious model files with the vulnerable Trainer.load method.","url":"https://insights.sbomify.com/CVE-2026-31222/"}