{"answers":{"affected":"It affects 1 product.","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2026-65918 exists.","fix":"No fix has been published for CVE-2026-65918 yet. Limit exposure of the affected software until one is available.","what":"CVE-2026-65918 is a high-severity vulnerability in pytorch vision, published on 23 Jul 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-2026-65918 and fix it if it is affected.\n\nWhat it is: CVE-2026-65918 is a high-severity vulnerability in pytorch vision, published on 23 Jul 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: It is not confirmed as exploited in the wild, but public exploit code for CVE-2026-65918 exists.\n\nAffected product: pytorch vision. 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-2026-65918/ (Markdown: https://insights.sbomify.com/CVE-2026-65918/index.md)","id":"CVE-2026-65918","markdown":"https://insights.sbomify.com/CVE-2026-65918/index.md","name":"CVE-2026-65918","record":{"aliases":["DEBIAN-CVE-2026-65918","GHSA-xhgh-4jhq-chj3","UBUNTU-CVE-2026-65918"],"analysis":{"component_type":"library","fix_type":"patch","impacts":["data_read","denial_of_service"],"network_reachable":"yes","non_default_config":false,"product_category":"PyTorch vision library","requires_auth":"none","summary":"Attackers can cause denial of service or disclose heap memory by supplying malicious GIF files to the PyTorch torchvision library.","user_interaction":"required","vuln_class":"information_disclosure"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"VulnCheck","cpe":[{"product":"torchvision","vendor":"linuxfoundation"}],"cvss":{"score":7.1,"severity":"high","source":"cna","vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:N/VA:H/SC:N/SI:N/SA:N","version":"4.0"},"cwes":[{"id":"CWE-125","name":"Out-of-bounds Read"}],"description":"PyTorch torchvision through 0.28.0, fixed in commit 4e05dc2, contains an out-of-bounds heap read vulnerability in the GIF decoder's read_from_tensor callback that passes unclamped length to memcpy. Attackers can supply malicious or truncated GIF files to cause denial of service via segmentation fault or disclose adjacent heap memory contents.","ecosystems":[],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"weaponised"},"has_fix":false,"headline":"PyTorch torchvision GIF Decoder Out-of-bounds Heap Read","id":"CVE-2026-65918","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"information_disclosure","year":"2026"},"n_packages":0,"n_references":4,"next":{"headline":"Meshery \u003c 1.0.57 Unauthenticated Arbitrary File Read via fileView and fileDownload","id":"CVE-2026-65919"},"packages":[],"prev":{"headline":"CyberPanel IncBackups IDOR via Sequential Backup ID","id":"CVE-2026-65917"},"products":["vision"],"published":"2026-07-23","related":[],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"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":"partial"},"state":"PUBLISHED","updated":"2026-09-17","vendors":["pytorch"]},"summary":"Attackers can cause denial of service or disclose heap memory by supplying malicious GIF files to the PyTorch torchvision library.","url":"https://insights.sbomify.com/CVE-2026-65918/"}