Answer in brief
CVE-2026-65918 records a High severity (CVSS 7.1) vulnerability in PyTorch torchvision GIF Decoder Out-of-bounds Heap Read. The current sources do not mark it as known exploited. The current feed maps pytorch/vision (generic). Check affected ranges and fixed versions before updating.
Analysis pending evidence review
HOL Guard separates source facts from reviewed analysis. See the methodology.
CVSS is 7.1. The current sources do not mark it as known exploited. Treat this as a source-backed prioritization signal, not a statement about your environment.
Analysis status
Analysis pending evidence review
Factual feed record only; HOL analysis is not approved for indexing. Read the methodology.
The current feed maps pytorch/vision (generic). Check affected ranges and fixed versions before updating.
| Product | Affected versions | Fixed versions |
|---|---|---|
| cpe:2.3:a:linuxfoundation:torchvision:*:*:*:*:*:python:*:* | Not reported | Not reported |
| Package | Affected range | Fixed version |
|---|---|---|
| pytorch/visiongeneric | 0 | Not reported |
Published upstream
Jul 23, 2026
Evidence: source:cvelist:source_dates:source-dates:recordSource modified
Sep 17, 2026
Evidence: source:cvelist:source_dates:source-dates:recordFirst seen by HOL
Aug 23, 2026
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.
Quoted source text, attributed separately from HOL analysis.