{"answers":{"affected":"","exploited":"There is no known exploitation of CVE-2026-15679 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2026-15679 yet. Limit exposure of the affected software until one is available.","what":"CVE-2026-15679 is a high-severity unsafe deserialization vulnerability in Hugging Face PyTorch Image Models, published on 20 Aug 2026. It can only be exploited from the same machine or local network, and only if a user opens a file or follows a link."},"fix_prompt":"Check this codebase for CVE-2026-15679 and fix it if it is affected.\n\nWhat it is: CVE-2026-15679 is a high-severity unsafe deserialization vulnerability in Hugging Face PyTorch Image Models, published on 20 Aug 2026. It can only be exploited from the same machine or local network, and only if a user opens a file or follows a link.\nExploitation: There is no known exploitation of CVE-2026-15679 in the wild and no public exploit code.\n\nAffected product: Hugging Face PyTorch Image Models. No package-level version data is available, so check the vendor advisory linked from the reference page.\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-2026-15679/ (Markdown: https://insights.sbomify.com/CVE-2026-15679/index.md)","id":"CVE-2026-15679","markdown":"https://insights.sbomify.com/CVE-2026-15679/index.md","name":"CVE-2026-15679","record":{"aliases":["GHSA-5whh-98v9-qrw2"],"analysis":{"component_type":"library","fix_type":"patch","impacts":["code_execution"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"PyTorch Image Models","requires_auth":"none","summary":"Remote attackers can execute arbitrary code by tricking users into opening malicious PyTorch Image Models checkpoints due to unsafe deserialization.","user_interaction":"required","vuln_class":"deserialization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"zdi","cpe":[],"cvss":{"score":7.8,"severity":"high","source":"cna","vector":"CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","version":"3.0"},"cwes":[{"id":"CWE-502","name":"Deserialization of Untrusted Data"}],"description":"Hugging Face PyTorch Image Models checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face PyTorch Image Models. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.\n\nThe specific flaw exists within the parsing of checkpoints. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-27987.","ecosystems":[],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":null,"headline":"Hugging Face PyTorch Image Models checkpoint Deserialization of Untrusted Data Remote Code Execution Vulnerability","id":"CVE-2026-15679","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"deserialization","year":"2026"},"n_packages":0,"n_references":1,"next":{"headline":"Lorex 2K Indoor Wi-Fi Security Camera CDeviceOperator Format String Remote Code Execution Vulnerability","id":"CVE-2026-15680"},"packages":[],"prev":{"headline":"code-projects Online Job Portal DetailJob.php cross site scripting","id":"CVE-2026-15678"},"products":["PyTorch Image Models"],"published":"2026-08-20","related":[],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"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":"2026-08-21","vendors":["Hugging Face"]},"summary":"Remote attackers can execute arbitrary code by tricking users into opening malicious PyTorch Image Models checkpoints due to unsafe deserialization.","url":"https://insights.sbomify.com/CVE-2026-15679/"}