{"answers":{"affected":"7 open source packages ship an affected version, including executorch, org.pytorch:executorch-android and github.com/pytorch/executorch.","exploited":"There is no known exploitation of CVE-2025-30404 in the wild and no public exploit code.","fix":"Upgrade executorch to 0.7.0 or later.","what":"CVE-2025-30404 is a critical vulnerability in Meta Platforms, Inc ExecuTorch, published on 7 Aug 2025. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2025-30404 and fix it if it is affected.\n\nWhat it is: CVE-2025-30404 is a critical vulnerability in Meta Platforms, Inc ExecuTorch, published on 7 Aug 2025. 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-2025-30404 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- executorch (PyPI): affected all versions; fixed in 0.7.0\n- executorch (PyPI): affected all versions; fixed in 0.7.0\n- executorch (PyPI): affected all versions; fixed in 0.7.0\n- org.pytorch:executorch-android (Maven): affected all versions; fixed in 0.7.0\n- org.pytorch:executorch-android (Maven): affected all versions; fixed in 0.7.0\n- github.com/pytorch/executorch (SwiftURL): affected all versions; fixed in 0.7.0\n- github.com/pytorch/executorch (SwiftURL): affected all versions; fixed in 0.7.0\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-2025-30404/ (Markdown: https://insights.sbomify.com/CVE-2025-30404/index.md)","id":"CVE-2025-30404","markdown":"https://insights.sbomify.com/CVE-2025-30404/index.md","name":"CVE-2025-30404","record":{"aliases":["GHSA-hj95-mhgf-jxc4","PYSEC-2026-335"],"analysis":{"component_type":"library","fix_type":"patch","impacts":["code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"ExecuTorch ML library","requires_auth":"none","summary":"Integer overflow in ExecuTorch model loading allows overlapping allocations, potentially enabling code execution.","user_interaction":"not_required","vuln_class":"integer_overflow"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"facebook","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-190","name":"Integer Overflow or Wraparound"}],"description":"An integer overflow vulnerability in the loading of ExecuTorch models can cause overlapping allocations, potentially resulting in code execution or other undesirable effects. This issue affects ExecuTorch prior to commit d158236b1dc84539c1b16843bc74054c9dcba006.","ecosystems":["Maven","PyPI","SwiftURL"],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":true,"headline":"ExecuTorch integer overflow vulnerability","id":"CVE-2025-30404","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Maven","product":null,"products":[],"type":"integer_overflow","year":"2025"},"n_packages":7,"n_references":2,"next":{"headline":"ExecuTorch integer overflow vulnerability","id":"CVE-2025-30405"},"packages":[{"ecosystem":"Maven","fixed":["0.7.0"],"introduced":["0"],"last_affected":[],"package":"org.pytorch:executorch-android","purl":null,"source":"GHSA-hj95-mhgf-jxc4"},{"ecosystem":"Maven","fixed":["0.7.0"],"introduced":["0"],"last_affected":[],"package":"org.pytorch:executorch-android","purl":"pkg:maven/org.pytorch/executorch-android","source":"GHSA-hj95-mhgf-jxc4"},{"ecosystem":"PyPI","fixed":["0.7.0"],"introduced":["0"],"last_affected":[],"package":"executorch","purl":null,"source":"GHSA-hj95-mhgf-jxc4"},{"ecosystem":"PyPI","fixed":["0.7.0"],"introduced":["0"],"last_affected":[],"package":"executorch","purl":"pkg:pypi/executorch","source":"GHSA-hj95-mhgf-jxc4"},{"ecosystem":"PyPI","fixed":["0.7.0"],"introduced":["0"],"last_affected":[],"package":"executorch","purl":"pkg:pypi/executorch","source":"PYSEC-2026-335"},{"ecosystem":"SwiftURL","fixed":["0.7.0"],"introduced":["0"],"last_affected":[],"package":"github.com/pytorch/executorch","purl":null,"source":"GHSA-hj95-mhgf-jxc4"},{"ecosystem":"SwiftURL","fixed":["0.7.0"],"introduced":["0"],"last_affected":[],"package":"github.com/pytorch/executorch","purl":"pkg:swift/github.com/pytorch/executorch","source":"GHSA-hj95-mhgf-jxc4"}],"prev":{"headline":"Memory corruption in mvfst","id":"CVE-2025-30403"},"products":["ExecuTorch"],"published":"2025-08-07","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":"2025-08-12","vendors":["Meta Platforms, Inc"]},"summary":"Integer overflow in ExecuTorch model loading allows overlapping allocations, potentially enabling code execution.","url":"https://insights.sbomify.com/CVE-2025-30404/"}