CVE-2022-35952: TensorFlow vulnerable to `CHECK` failures in `UnbatchGradOp`
(updated )
TensorFlow is an open source platform for machine learning. The UnbatchGradOp
function takes an argument id
that is assumed to be a scalar. A nonscalar id
can trigger a CHECK
failure and crash the program. It also requires its argument batch_index
to contain three times the number of elements as indicated in its batch_index.dim_size(0)
. An incorrect batch_index
can trigger a CHECK
failure and crash the program. We have patched the issue in GitHub commit 5f945fc6409a3c1e90d6970c9292f805f6e6ddf2. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
References
- github.com/advisories/GHSA-h5vq-gw2c-pq47
- github.com/tensorflow/tensorflow/blob/769eddaf479c8debead9a59a72617d6ed6f0fe10/tensorflow/core/kernels/batch_kernels.cc
- github.com/tensorflow/tensorflow/commit/5f945fc6409a3c1e90d6970c9292f805f6e6ddf2
- github.com/tensorflow/tensorflow/releases/tag/v2.10.0
- github.com/tensorflow/tensorflow/security/advisories/GHSA-h5vq-gw2c-pq47
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