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Moderate severityNVD Advisory· Published Nov 18, 2022· Updated Apr 22, 2025

`FractionalMaxPoolGrad` Heap out of bounds read in Tensorflow

CVE-2022-41897

Description

TensorFlow is an open source platform for machine learning. If FractionMaxPoolGrad is given outsize inputs row_pooling_sequence and col_pooling_sequence, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Affected packages

Versions sourced from the GitHub Security Advisory.

PackageAffected versionsPatched versions
tensorflowPyPI
< 2.8.42.8.4
tensorflowPyPI
>= 2.9.0, < 2.9.32.9.3
tensorflowPyPI
>= 2.10.0, < 2.10.12.10.1
tensorflow-cpuPyPI
< 2.8.42.8.4
tensorflow-gpuPyPI
< 2.8.42.8.4
tensorflow-cpuPyPI
>= 2.9.0, < 2.9.32.9.3
tensorflow-gpuPyPI
>= 2.9.0, < 2.9.32.9.3
tensorflow-cpuPyPI
>= 2.10.0, < 2.10.12.10.1
tensorflow-gpuPyPI
>= 2.10.0, < 2.10.12.10.1

Affected products

1

Patches

1
d71090c3e5ca

Fix security vulnerability with FractionalMaxPoolGrad

https://github.com/tensorflow/tensorflowA. Unique TensorFlowerSep 28, 2022via ghsa
commit
2 files changed · +31 −1
  • tensorflow/core/kernels/fractional_max_pool_op.cc+12 −0 modified
    @@ -258,6 +258,18 @@ class FractionalMaxPoolGradOp : public OpKernel {
     OP_REQUIRES(context, tensor_out.NumElements() > 0,
                 errors::InvalidArgument("orig_output must not be empty, got ",
                                         tensor_out.DebugString()));
+    OP_REQUIRES(
+        context,
+        height_seq_tensor.NumElements() * width_seq_tensor.NumElements() <=
+            tensor_in.NumElements(),
+        errors::InvalidArgument(
+            "Pooling region has more elements than the input tensor. "
+            "row_pooling_sequence: ",
+            height_seq_tensor.DebugString(),
+            "col_pooling_sequence: ", width_seq_tensor.DebugString(),
+            "orig_input: ", tensor_in.DebugString()));
+
+    //
     std::vector<int64_t> input_size(tensor_in_and_out_dims);
     std::vector<int64_t> output_size(tensor_in_and_out_dims);
     for (int i = 0; i < tensor_in_and_out_dims; ++i) {
  • tensorflow/python/kernel_tests/nn_ops/fractional_max_pool_op_test.py+19 −1 modified
    @@ -632,7 +632,7 @@ def testWhenRepeatedMaxValueInPoolingRegion(self):
 
   def testInvalidSeqRaiseErrorForFractionalMaxPoolGrad(self):
     with self.assertRaises(errors.InvalidArgumentError):
-      with self.cached_session() as _:
+      with self.cached_session():
         overlapping = True
         orig_input = constant_op.constant(
             .453409232, shape=[1, 7, 13, 1], dtype=dtypes.float32)
@@ -653,6 +653,24 @@ def testInvalidSeqRaiseErrorForFractionalMaxPoolGrad(self):
             overlapping=overlapping)
         self.evaluate(t)
 
+  def testOverLargeSeqRaiseErrorForFractionalMaxPoolGrad(self):
+    with self.assertRaises(errors.InvalidArgumentError):
+      with self.cached_session():
+        overlapping = False
+        orig_input = [[[[1, 1, 1, 1, 1]]]]
+        orig_output = [[[[1, 1, 1]]]]
+        out_backprop = [[[[3], [3], [6]]]]
+        row_pooling_sequence = [-0x4000000, 1, 1]
+        col_pooling_sequence = [-0x4000000, 1, 1]
+        t = gen_nn_ops.FractionalMaxPoolGrad(
+            orig_input=orig_input,
+            orig_output=orig_output,
+            out_backprop=out_backprop,
+            row_pooling_sequence=row_pooling_sequence,
+            col_pooling_sequence=col_pooling_sequence,
+            overlapping=overlapping)
+        self.evaluate(t)
+
 
 if __name__ == "__main__":
   test.main()

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

0

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