CVE-2026-65918PyTorch 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.
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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.
- CVSS
- 7.1 HIGH (v3.1, NVD)CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:H
- Weakness (CWE)
- CWE-125
- Known exploited
- Not in CISA's KEV catalog
- EPSS (exploitation in the next 30 days)
- Not loaded for this CVE
- Assigned by
- Not given
- NVD analysis
- Analyzed
- Record last updated
- Sep 17, 2026
- First seen by InfoSec Signals
- Oct 9, 2026
Affected products
linuxfoundation torchvision linuxfoundation:torchvision | through 0.28.0 | NVD |
References
- https://github.com/pytorch/vision/commit/4e05dc22f5f050a9528cc0ea09ceca6cdaf8f4edpatch
- https://github.com/pytorch/vision/issues/9551exploit, issue-tracking
- https://github.com/pytorch/vision/pull/9520issue-tracking, patch
- https://www.vulncheck.com/advisories/pytorch-torchvision-gif-decoder-out-of-bounds-heap-readexploit, patch, third-party-advisory
The CVE record on cve.org NVD's entry
The CVE record is authoritative. Products marked “from the name” were identified from the CNA's free-text names, not a CPE, and are matched less certainly. This product uses the NVD API but is not endorsed or certified by the NVD.