{"answers":{"affected":"5 open source packages ship an affected version, including pytorch and torch. It affects 1 product.","exploited":"There is no known exploitation of CVE-2026-24747 in the wild and no public exploit code.","fix":"Upgrade pytorch to 2.10.0 or later.","what":"CVE-2026-24747 is a high-severity unsafe deserialization vulnerability in pytorch, published on 27 Jan 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-2026-24747 and fix it if it is affected.\n\nWhat it is: CVE-2026-24747 is a high-severity unsafe deserialization vulnerability in pytorch, published on 27 Jan 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-2026-24747 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- pytorch (Bitnami): affected all versions; fixed in 2.10.0\n- pytorch (PyPI): affected all versions; fixed in 2.10.0\n- pytorch (PyPI): affected all versions; fixed in 2.10.0\n- pytorch (PyPI): affected all versions; fixed in 2.10.0\n- torch (PyPI): affected all versions; fixed in 2.10.0\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-2026-24747/ (Markdown: https://insights.sbomify.com/CVE-2026-24747/index.md)","id":"CVE-2026-24747","markdown":"https://insights.sbomify.com/CVE-2026-24747/index.md","name":"CVE-2026-24747","record":{"aliases":["AZL-75293","AZL-75588","BIT-pytorch-2026-24747","DEBIAN-CVE-2026-24747","ECHO-b294-6932-072f","GHSA-63cw-57p8-fm3p","PYSEC-2026-1856","PYSEC-2026-2286","UBUNTU-CVE-2026-24747"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"PyTorch machine learning library","requires_auth":"none","summary":"Attackers can achieve arbitrary code execution by crafting malicious checkpoint files loaded via PyTorch's weights_only unpickler.","user_interaction":"required","vuln_class":"deserialization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[{"product":"pytorch","vendor":"linuxfoundation"}],"cvss":{"score":8.8,"severity":"high","source":"cna","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-94","name":"Improper Control of Generation of Code"},{"id":"CWE-502","name":"Deserialization of Untrusted Data"}],"description":"PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch's `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.","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 Vulnerable to Remote Code Execution via Untrusted Checkpoint Files","id":"CVE-2026-24747","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":null,"products":[],"type":"deserialization","year":"2026"},"n_packages":5,"n_references":4,"next":{"headline":"Kargo's `GetConfig()` and `RefreshResource()` API endpoints allow unauthenticated access","id":"CVE-2026-24748"},"packages":[{"ecosystem":"Bitnami","fixed":["2.10.0"],"introduced":["0"],"last_affected":[],"package":"pytorch","purl":"pkg:bitnami/pytorch","source":"BIT-pytorch-2026-24747"},{"ecosystem":"PyPI","fixed":["2.10.0"],"introduced":["0"],"last_affected":[],"package":"pytorch","purl":null,"source":"GHSA-63cw-57p8-fm3p"},{"ecosystem":"PyPI","fixed":["2.10.0"],"introduced":["0"],"last_affected":[],"package":"pytorch","purl":"pkg:pypi/pytorch","source":"GHSA-63cw-57p8-fm3p"},{"ecosystem":"PyPI","fixed":["2.10.0"],"introduced":["0"],"last_affected":[],"package":"pytorch","purl":"pkg:pypi/pytorch","source":"PYSEC-2026-1856"},{"ecosystem":"PyPI","fixed":["2.10.0"],"introduced":["0"],"last_affected":[],"package":"torch","purl":"pkg:pypi/torch","source":"PYSEC-2026-2286"}],"prev":{"headline":"InvoicePlane has a Stored Cross-Site Scripting (XSS) issue","id":"CVE-2026-24746"},"products":["pytorch"],"published":"2026-01-27","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":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":"total"},"state":"PUBLISHED","updated":"2026-07-15","vendors":["pytorch"]},"summary":"Attackers can achieve arbitrary code execution by crafting malicious checkpoint files loaded via PyTorch's weights_only unpickler.","url":"https://insights.sbomify.com/CVE-2026-24747/"}