CVE-2022-23592: Out of bounds read in Tensorflow
(updated )
TensorFlow’s type inference can cause a heap OOB read as the bounds checking is done in a DCHECK (which is a no-op during production):
if (node_t.type_id() != TFT_UNSET) {
int ix = input_idx[i];
DCHECK(ix < node_t.args_size())
<< "input " << i << " should have an output " << ix
<< " but instead only has " << node_t.args_size()
<< " outputs: " << node_t.DebugString();
input_types.emplace_back(node_t.args(ix));
// ...
}
An attacker can control input_idx such that ix would be larger than the number of values in node_t.args.
References
- github.com/advisories/GHSA-vq36-27g6-p492
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-101.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-156.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc
- github.com/tensorflow/tensorflow/commit/c99d98cd189839dcf51aee94e7437b54b31f8abd
- github.com/tensorflow/tensorflow/security/advisories/GHSA-vq36-27g6-p492
- nvd.nist.gov/vuln/detail/CVE-2022-23592
Code Behaviors & Features
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