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      <description>{"uuid": "df518287-1247-4933-8efc-d9bd08139407", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "9f56dd64-161d-43a6-b9c3-555944290a09", "vulnerability": "CVE-2025-2953", "type": "published-proof-of-concept", "source": "https://t.me/DarkWebInformer_CVEAlerts/9550", "content": "\ud83d\udd17 DarkWebInformer.com - Cyber Threat Intelligence\n\ud83d\udccc CVE ID: CVE-2025-2953\n\ud83d\udd25 CVSS Score: 4.8 (cvssV4_0, Vector: CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N)\n\ud83d\udd39 Description: A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124. Affected by this issue is the function torch.mkldnn_max_pool2d. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may be used.\n\ud83d\udccf Published: 2025-03-30T15:31:04.853Z\n\ud83d\udccf Modified: 2025-03-30T15:31:04.853Z\n\ud83d\udd17 References:\n1. https://vuldb.com/?id.302006\n2. https://vuldb.com/?ctiid.302006\n3. https://vuldb.com/?submit.521279\n4. https://github.com/pytorch/pytorch/issues/149274\n5. https://github.com/pytorch/pytorch/issues/149274#issue-2923122269", "creation_timestamp": "2025-03-30T16:30:50.000000Z"}</description>
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