CVE-2021-41216: Heap buffer overflow in `Transpose`

(updated )

The shape inference function for Transpose is vulnerable to a heap buffer overflow:

import tensorflow as tf
@tf.function
def test():
y = tf.raw_ops.Transpose(x=[1,2,3,4],perm=[-10])
return y

test()

This occurs whenever perm contains negative elements. The shape inference function does not validate that the indices in perm are all valid:

for (int32_t i = 0; i < rank; ++i) {
int64_t in_idx = data[i];
if (in_idx >= rank) {
return errors::InvalidArgument("perm dim ", in_idx,
" is out of range of input rank ", rank);
}
dims[i] = c->Dim(input, in_idx);
}

where Dim(tensor, index) accepts either a positive index less than the rank of the tensor or the special value -1 for unknown dimensions.

References

Code Behaviors & Features

Detect and mitigate CVE-2021-41216 with GitLab Dependency Scanning

Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Dependency Scanning using SBOM also detects vulnerabilities from proprietary advisories that this site does not include. Learn more about Dependency Scanning using SBOM →