{"answers":{"affected":"2 open source packages ship an affected version, including pytorch and torch. It affects 1 product.","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2024-48063 exists.","fix":"Upgrade pytorch to 2.5.0 or later.","what":"CVE-2024-48063 is a critical unsafe deserialization vulnerability in n/a, published on 29 Oct 2024. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2024-48063 and fix it if it is affected.\n\nWhat it is: CVE-2024-48063 is a critical unsafe deserialization vulnerability in n/a, published on 29 Oct 2024. An attacker can exploit it over the internet without logging in, with no action from the victim.\nExploitation: It is not confirmed as exploited in the wild, but public exploit code for CVE-2024-48063 exists.\n\nAffected packages and fixed versions:\n- pytorch (Bitnami): affected all versions; fixed in 2.5.0\n- torch (PyPI): affected all versions; fixed in 2.5.0\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-2024-48063/ (Markdown: https://insights.sbomify.com/CVE-2024-48063/index.md)","id":"CVE-2024-48063","markdown":"https://insights.sbomify.com/CVE-2024-48063/index.md","name":"CVE-2024-48063","record":{"aliases":["BIT-pytorch-2024-48063","DEBIAN-CVE-2024-48063","ECHO-7b96-b37e-2be6","GHSA-9v5x-r4g7-gqw3","PYSEC-2024-259","UBUNTU-CVE-2024-48063"],"analysis":{"component_type":"library","fix_type":"no_fix_stated","impacts":["code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"PyTorch machine learning library","requires_auth":"none","summary":"Attackers can execute arbitrary code via unsafe deserialization in PyTorch's RemoteModule, though this is disputed as intended behavior.","user_interaction":"not_required","vuln_class":"deserialization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"mitre","cpe":[{"product":"pytorch","vendor":"linuxfoundation"}],"cvss":{"score":9.8,"severity":"critical","source":"nvd","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":"In PyTorch \u003c=2.4.1, the RemoteModule has Deserialization RCE. NOTE: this is disputed by multiple parties because this is intended behavior in PyTorch distributed computing.","ecosystems":["Bitnami","PyPI"],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"weaponised"},"has_fix":true,"headline":"Deserialization in n/a","id":"CVE-2024-48063","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":null,"products":[],"type":"deserialization","year":"2024"},"n_packages":2,"n_references":4,"next":{"headline":"Cross-site scripting in n/a","id":"CVE-2024-48068"},"packages":[{"ecosystem":"Bitnami","fixed":["2.5.0"],"introduced":["0"],"last_affected":[],"package":"pytorch","purl":"pkg:bitnami/pytorch","source":"BIT-pytorch-2024-48063"},{"ecosystem":"PyPI","fixed":["2.5.0"],"introduced":["0"],"last_affected":[],"package":"torch","purl":"pkg:pypi/torch","source":"PYSEC-2024-259"}],"prev":{"headline":"Langflow vulnerable to remote code execution","id":"CVE-2024-48061"},"products":["n/a"],"published":"2024-10-29","related":[{"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":"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":"poc","technical_impact":"total"},"state":"PUBLISHED","updated":"2025-01-09","vendors":["n/a"]},"summary":"Attackers can execute arbitrary code via unsafe deserialization in PyTorch's RemoteModule, though this is disputed as intended behavior.","url":"https://insights.sbomify.com/CVE-2024-48063/"}