{"answers":{"affected":"3 open source packages ship an affected version, including ludwig.","exploited":"There is no known exploitation of CVE-2026-31238 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2026-31238 yet. Limit exposure of the affected software until one is available.","what":"CVE-2026-31238 is a critical unsafe deserialization vulnerability in n/a, published on 12 May 2026. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2026-31238 and fix it if it is affected.\n\nWhat it is: CVE-2026-31238 is a critical unsafe deserialization vulnerability in n/a, published on 12 May 2026. An attacker can exploit it over the internet without logging in, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2026-31238 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- ludwig (PyPI): affected all versions up to 0.10.4; no fix listed\n- ludwig (PyPI): affected all versions up to 0.10.4; no fix listed\n- ludwig (PyPI): affected all versions up to 0.10.4; 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-2026-31238/ (Markdown: https://insights.sbomify.com/CVE-2026-31238/index.md)","id":"CVE-2026-31238","markdown":"https://insights.sbomify.com/CVE-2026-31238/index.md","name":"CVE-2026-31238","record":{"aliases":["GHSA-xp5q-5q7g-q26r","PYSEC-2026-405"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"Ludwig ML framework","requires_auth":"none","summary":"Attackers can execute arbitrary code by providing malicious model files to the Ludwig model server due to insecure deserialization.","user_interaction":"not_required","vuln_class":"deserialization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"mitre","cpe":[],"cvss":{"score":9.8,"severity":"critical","source":"cisa-adp","vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H","version":"3.1"},"cwes":[{"id":"CWE-502","name":"Deserialization of Untrusted Data"}],"description":"The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization (CWE-502) in its model serving component. When starting a model server with the ludwig serve command, the framework loads model weight 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. An attacker can exploit this by providing a maliciously crafted PyTorch model file, leading to arbitrary code execution on the system hosting the Ludwig model server.","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":"Ludwig framework is vulnerable to insecure deserialization in its model serving component","id":"CVE-2026-31238","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":null,"products":[],"type":"deserialization","year":"2026"},"n_packages":3,"n_references":2,"next":{"headline":"mamba language model framework vulnerable to insecure deserialization when loading pre-trained models from HuggingFace Hub","id":"CVE-2026-31239"},"packages":[{"ecosystem":"PyPI","fixed":[],"introduced":["0"],"last_affected":["0.10.4"],"package":"ludwig","purl":null,"source":"GHSA-xp5q-5q7g-q26r"},{"ecosystem":"PyPI","fixed":[],"introduced":["0"],"last_affected":["0.10.4"],"package":"ludwig","purl":"pkg:pypi/ludwig","source":"GHSA-xp5q-5q7g-q26r"},{"ecosystem":"PyPI","fixed":[],"introduced":["0"],"last_affected":["0.10.4"],"package":"ludwig","purl":"pkg:pypi/ludwig","source":"PYSEC-2026-405"}],"prev":{"headline":"Ludwig framework is vulnerable to insecure deserialization through its predict() method.","id":"CVE-2026-31237"},"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":"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":"CWE Terms of Use","name":"CWE (MITRE)"},{"class":"attribution","licence":"FIRST CVSS licence","name":"CVSS (FIRST)"}],"ssvc":{"automatable":"yes","exploitation":"none","technical_impact":"total"},"state":"PUBLISHED","updated":"2026-05-14","vendors":["n/a"]},"summary":"Attackers can execute arbitrary code by providing malicious model files to the Ludwig model server due to insecure deserialization.","url":"https://insights.sbomify.com/CVE-2026-31238/"}