{"answers":{"affected":"4 open source packages ship an affected version, including pytorch and torch. It affects 1 product.","exploited":"There is no known exploitation of CVE-2025-3000 in the wild and no public exploit code.","fix":"Upgrade pytorch to 2.7.0 or later.","what":"CVE-2025-3000 is a medium-severity memory corruption vulnerability in PyTorch, published on 31 Mar 2025. It can only be exploited from the same machine or local network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2025-3000 and fix it if it is affected.\n\nWhat it is: CVE-2025-3000 is a medium-severity memory corruption vulnerability in PyTorch, published on 31 Mar 2025. It can only be exploited from the same machine or local network, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2025-3000 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- pytorch (Bitnami): affected from 2.6.0; fixed in 2.7.0\n- torch (PyPI): affected all versions up to 2.6.0-NA; no fix listed\n- torch (PyPI): affected all versions; fixed in 2.13.0\n- torch (PyPI): affected all versions; fixed in 2.13.0\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-2025-3000/ (Markdown: https://insights.sbomify.com/CVE-2025-3000/index.md)","id":"CVE-2025-3000","markdown":"https://insights.sbomify.com/CVE-2025-3000/index.md","name":"CVE-2025-3000","record":{"aliases":["BIT-pytorch-2025-3000","DEBIAN-CVE-2025-3000","ECHO-9320-f34e-79db","GHSA-rrmf-rvhw-rf47","MINI-994c-vwwv-q5qv","MINI-hfh4-fwgv-55jv","MINI-vpr6-8333-6mpc","PYSEC-2025-194","UBUNTU-CVE-2025-3000"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["code_execution"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"PyTorch machine learning library","requires_auth":"low_privilege","summary":"A local attacker can exploit memory corruption in PyTorch's torch.jit.script function to potentially execute arbitrary code.","user_interaction":"not_required","vuln_class":"memory_corruption"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"VulDB","cpe":[{"product":"pytorch","vendor":"linuxfoundation"}],"cvss":{"score":4.8,"severity":"medium","source":"cna","vector":"CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N","version":"4.0"},"cwes":[{"id":"CWE-119","name":"Improper Restriction of Operations within the Bounds of a Memory Buffer"}],"description":"A vulnerability classified as critical has been found in PyTorch 2.6.0. This affects the function torch.jit.script. The manipulation leads to memory corruption. It is possible to launch the attack on the local host. The exploit has been disclosed to the public and may be used.","ecosystems":["Bitnami","PyPI"],"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":"PyTorch torch.jit.script memory corruption","id":"CVE-2025-3000","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":null,"products":[],"type":"memory_corruption","year":"2025"},"n_packages":4,"n_references":5,"next":{"headline":"PyTorch torch.lstm_cell memory corruption","id":"CVE-2025-3001"},"packages":[{"ecosystem":"Bitnami","fixed":["2.7.0"],"introduced":["2.6.0"],"last_affected":[],"package":"pytorch","purl":"pkg:bitnami/pytorch","source":"BIT-pytorch-2025-3000"},{"ecosystem":"PyPI","fixed":[],"introduced":["0"],"last_affected":["2.6.0-NA"],"package":"torch","purl":"pkg:pypi/torch","source":"PYSEC-2025-194"},{"ecosystem":"PyPI","fixed":["2.13.0"],"introduced":["0"],"last_affected":[],"package":"torch","purl":null,"source":"GHSA-rrmf-rvhw-rf47"},{"ecosystem":"PyPI","fixed":["2.13.0"],"introduced":["0"],"last_affected":[],"package":"torch","purl":"pkg:pypi/torch","source":"GHSA-rrmf-rvhw-rf47"}],"prev":{"headline":"PyTorch torch.nn.utils.rnn.unpack_sequence memory corruption","id":"CVE-2025-2999"},"products":["PyTorch"],"published":"2025-03-31","related":[{"cvss_score":9.8,"headline":"Deserialization in n/a","id":"CVE-2024-48063","kev_date_added":null,"published":"2024-10-29"},{"cvss_score":9.8,"headline":"PyTorch vulnerable to arbitrary code execution","id":"CVE-2022-45907","kev_date_added":null,"published":"2022-11-26"},{"cvss_score":9.3,"headline":"PyTorch: `torch.load` with `weights_only=True` leads to remote code execution","id":"CVE-2025-32434","kev_date_added":null,"published":"2025-04-18"},{"cvss_score":8.8,"headline":"PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files","id":"CVE-2026-24747","kev_date_added":null,"published":"2026-01-27"},{"cvss_score":7.8,"headline":"Pytorch use-after-free vulnerability","id":"CVE-2024-31583","kev_date_added":null,"published":"2024-04-17"},{"cvss_score":7.5,"headline":"Denial of service in n/a","id":"CVE-2025-55551","kev_date_added":null,"published":"2025-09-25"},{"cvss_score":7.5,"headline":"Denial of service in n/a","id":"CVE-2025-55553","kev_date_added":null,"published":"2025-09-25"}],"sources":[{"class":"attribution","licence":"Apache-2.0","name":"Bitnami","prefix":"BIT"},{"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":"partial"},"state":"PUBLISHED","updated":"2025-03-31","vendors":["n/a"]},"summary":"A local attacker can exploit memory corruption in PyTorch's torch.jit.script function to potentially execute arbitrary code.","url":"https://insights.sbomify.com/CVE-2025-3000/"}