A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0. This issue affects the function torch.cuda.memory.caching_allocator_delete of the file c10/cuda/CUDACachingAllocator.cpp. The manipulation leads to memory corruption. An attack has to be approached locally. The exploit has been disclosed to the public and may be used.
The product performs operations on a memory buffer, but it reads from or writes to a memory location outside the buffer's intended boundary. This may result in read or write operations on unexpected memory locations that could be linked to other variables, data structures, or internal program data.
The product writes data past the end, or before the beginning, of the intended buffer.
Link | Tags |
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https://vuldb.com/?id.303041 | technical description third party advisory vdb entry |
https://vuldb.com/?ctiid.303041 | signature vdb entry permissions required |
https://vuldb.com/?submit.525252 | third party advisory vdb entry exploit |
https://github.com/pytorch/pytorch/issues/149821 | vendor advisory issue tracking exploit |
https://github.com/pytorch/pytorch/issues/149821#issuecomment-2765311086 | vendor advisory issue tracking exploit |
https://github.com/pytorch/pytorch/issues/149821#issue-2940838975 | issue tracking exploit vendor advisory |
https://github.com/ARPANET-cybersecurity/vuldb/issues/2 | not applicable |