CVE-2021-29607 log

Severity Medium
Remote No
Type Arbitrary code execution
A security issue has been found in TensorFlow before version 2.4.2. Incomplete validation in `SparseAdd` results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation( has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of `*_indices` matches the size of corresponding `*_shape`. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation.
Group Package Affected Fixed Severity Status Ticket
AVG-1962 tensorflow 2.4.1-10 2.5.0-1 Critical Fixed