Missing validation causes denial of service in TensorFlow via `UnsortedSegmentJoin`
Description
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.raw_ops.UnsortedSegmentJoin does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack. The code assumes num_segments is a scalar but there is no validation for this before accessing its value. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Affected packages
Versions sourced from the GitHub Security Advisory.
| Package | Affected versions | Patched versions |
|---|---|---|
tensorflowPyPI | < 2.6.4 | 2.6.4 |
tensorflowPyPI | >= 2.7.0, < 2.7.2 | 2.7.2 |
tensorflowPyPI | >= 2.8.0, < 2.8.1 | 2.8.1 |
tensorflow-cpuPyPI | < 2.6.4 | 2.6.4 |
tensorflow-cpuPyPI | >= 2.7.0, < 2.7.2 | 2.7.2 |
tensorflow-cpuPyPI | >= 2.8.0, < 2.8.1 | 2.8.1 |
tensorflow-gpuPyPI | < 2.6.4 | 2.6.4 |
tensorflow-gpuPyPI | >= 2.7.0, < 2.7.2 | 2.7.2 |
tensorflow-gpuPyPI | >= 2.8.0, < 2.8.1 | 2.8.1 |
Affected products
1- Range: < 2.6.4
Patches
113d38a07ce91Fix tf.raw_ops.UnsortedSegmentJoin vulnerability with invalid num_segments.
1 file changed · +3 −0
tensorflow/core/kernels/unsorted_segment_join_op.cc+3 −0 modified@@ -92,6 +92,9 @@ class UnsortedSegmentJoinOp : public OpKernel { const Tensor& num_segments_tensor = context->input(2); OP_REQUIRES(context, num_segments_tensor.NumElements() != 0, errors::InvalidArgument("Number of segments cannot be empty.")); + OP_REQUIRES(context, + TensorShapeUtils::IsScalar(num_segments_tensor.shape()), + errors::InvalidArgument("Number of segments must be a scalar")); auto num_segments = num_segments_tensor.scalar<NUM_SEGMENTS_TYPE>()(); OP_REQUIRES(
Vulnerability mechanics
Generated by null/stub on May 9, 2026. Inputs: CWE entries + fix-commit diffs from this CVE's patches. Citations validated against bundle.
References
9- github.com/advisories/GHSA-hrg5-737c-2p56ghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2022-29197ghsaADVISORY
- github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/unsorted_segment_join_op.ccghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/commit/13d38a07ce9143e044aa737cfd7bb759d0e9b400ghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/releases/tag/v2.6.4ghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/releases/tag/v2.7.2ghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/releases/tag/v2.8.1ghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/releases/tag/v2.9.0ghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/security/advisories/GHSA-hrg5-737c-2p56ghsax_refsource_CONFIRMWEB
News mentions
0No linked articles in our index yet.