A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. Affected by this issue is the function nnq_Sigmoid of the component Quantized Sigmoid Module. The manipulation of the argument scale/zero_point leads to improper initialization. The attack needs to be approached locally. The complexity of an attack is rather high. The exploitation is known to be difficult. The exploit has been disclosed to the public and may be used.
The product does not initialize or incorrectly initializes a resource, which might leave the resource in an unexpected state when it is accessed or used.
| Link | Tags |
|---|---|
| https://vuldb.com/?id.299060 | third party advisory technical description vdb entry |
| https://vuldb.com/?ctiid.299060 | permissions required signature vdb entry |
| https://vuldb.com/?submit.506563 | third party advisory exploit vdb entry |
| https://github.com/pytorch/pytorch/issues/147818 | issue tracking |
| https://github.com/pytorch/pytorch/issues/147818#issue-2877301660 | exploit issue tracking |