{"uuid": "2b3a7d7c-d291-481f-8154-a03e17a543d5", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "9f56dd64-161d-43a6-b9c3-555944290a09", "vulnerability": "CVE-2025-2999", "type": "seen", "source": "https://t.me/cvedetector/21627", "content": "{\n  \"Source\": \"CVE FEED\",\n  \"Title\": \"CVE-2025-2999 - PyTorch Memory Corruption Vulnerability\", \n  \"Content\": \"CVE ID : CVE-2025-2999 \nPublished : March 31, 2025, 3:15 p.m. | 1\u00a0hour, 48\u00a0minutes ago \nDescription : A vulnerability was found in PyTorch 2.6.0. It has been rated as critical. Affected by this issue is the function torch.nn.utils.rnn.unpack_sequence. The manipulation leads to memory corruption. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used. \nSeverity: 5.3 | MEDIUM \nVisit the link for more details, such as CVSS details, affected products, timeline, and more...\",\n  \"Detection Date\": \"31 Mar 2025\",\n  \"Type\": \"Vulnerability\"\n}\n\ud83d\udd39 t.me/cvedetector \ud83d\udd39", "creation_timestamp": "2025-03-31T19:12:38.000000Z"}