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vuln-cve/data/2026/65xxx/CVE-2026-65918.json
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{
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"cveMetadata": {
"cveId": "CVE-2026-65918",
"assignerOrgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
"state": "PUBLISHED",
"assignerShortName": "VulnCheck",
"dateReserved": "2026-07-23T12:51:09.596Z",
"datePublished": "2026-07-23T17:36:42.799Z",
"dateUpdated": "2026-09-17T17:54:36.539Z"
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},
"datePublic": "2026-07-13T00:00:00.000Z",
"title": "PyTorch torchvision GIF Decoder Out-of-bounds Heap Read",
"descriptions": [
{
"lang": "en",
"value": "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."
}
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"cweId": "CWE-125",
"description": "Out-of-bounds Read",
"type": "CWE"
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"product": "vision",
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"packageURL": "pkg:pypi/torchvision",
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"version": "0",
"status": "affected",
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},
{
"status": "unaffected",
"version": "4e05dc22f5f050a9528cc0ea09ceca6cdaf8f4ed",
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"subIntegrityImpact": "NONE",
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"subAvailabilityImpact": "NONE",
"exploitMaturity": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"valueDensity": "NOT_DEFINED",
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"references": [
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"url": "https://github.com/pytorch/vision/issues/9551",
"name": "Researcher Disclosure",
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"url": "https://github.com/pytorch/vision/pull/9520",
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{
"url": "https://github.com/pytorch/vision/commit/4e05dc22f5f050a9528cc0ea09ceca6cdaf8f4ed",
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"patch"
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},
{
"url": "https://www.vulncheck.com/advisories/pytorch-torchvision-gif-decoder-out-of-bounds-heap-read",
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"third-party-advisory"
]
}
],
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{
"lang": "en",
"value": "George Chen",
"type": "finder"
}
],
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"adp": [
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"metrics": [
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"content": {
"timestamp": "2026-07-23T18:11:49.816662Z",
"id": "CVE-2026-65918",
"options": [
{
"Exploitation": "poc"
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{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"version": "2.0.3"
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