VYPR
Moderate severityNVD Advisory· Published Sep 16, 2022· Updated Apr 23, 2025

`CHECK` fail in `tf.linalg.matrix_rank` in TensorFlow

CVE-2022-35988

Description

TensorFlow is an open source platform for machine learning. When tf.linalg.matrix_rank receives an empty input a, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a. 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.

Affected packages

Versions sourced from the GitHub Security Advisory.

PackageAffected versionsPatched versions
tensorflowPyPI
< 2.7.22.7.2
tensorflowPyPI
>= 2.8.0, < 2.8.12.8.1
tensorflowPyPI
>= 2.9.0, < 2.9.12.9.1
tensorflow-cpuPyPI
< 2.7.22.7.2
tensorflow-cpuPyPI
>= 2.8.0, < 2.8.12.8.1
tensorflow-cpuPyPI
>= 2.9.0, < 2.9.12.9.1
tensorflow-gpuPyPI
< 2.7.22.7.2
tensorflow-gpuPyPI
>= 2.8.0, < 2.8.12.8.1
tensorflow-gpuPyPI
>= 2.9.0, < 2.9.12.9.1

Affected products

1

Patches

1
c55b476aa0e0

Fix empty batch issue in svd.

https://github.com/tensorflow/tensorflowAntonio SanchezJul 20, 2022via ghsa
2 files changed · +14 0
  • tensorflow/core/kernels/linalg/svd_op_gpu.cu.cc+6 0 modified
    @@ -395,6 +395,12 @@ class SvdOpGpu : public AsyncOpKernel {
         OP_REQUIRES_OK_ASYNC(context, context->allocate_output(2, shapeV, &outputV),
                              done);
     
    +    // If there are zero batches, we are done.
    +    if (shapeRaw.num_elements() == 0) {
    +      done();
    +      return;
    +    }
    +
         if (n == 0 || m == 0) {
           if (n == m || !compute_uv_ || !full_matrices_) {
             // S, U, and V are all empty. Nothing to do.
    
  • tensorflow/python/kernel_tests/linalg/svd_op_test.py+8 0 modified
    @@ -108,6 +108,14 @@ def testExecuteMultipleWithoutError(self):
         for i in range(0, len(val), 2):
           self.assertAllEqual(val[i], val[i + 1])
     
    +  @test_util.run_in_graph_and_eager_modes(use_gpu=True)
    +  def testEmptyBatches(self):
    +    matrices = constant_op.constant(1.0, shape=[0, 2, 2])
    +    s, u, v = self.evaluate(linalg_ops.svd(matrices))
    +    self.assertAllEqual(s, np.zeros([0, 2]))
    +    self.assertAllEqual(u, np.zeros([0, 2, 2]))
    +    self.assertAllEqual(v, np.zeros([0, 2, 2]))
    +
     
     def _GetSvdOpTest(dtype_, shape_, use_static_shape_, compute_uv_,
                       full_matrices_):
    

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

5

News mentions

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