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Low severityNVD Advisory· Published May 14, 2021· Updated Aug 3, 2024

Heap buffer overflow in `QuantizedResizeBilinear`

CVE-2021-29537

Description

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in QuantizedResizeBilinear by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/50711818d2e61ccce012591eeb4fdf93a8496726/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L705-L706) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Affected packages

Versions sourced from the GitHub Security Advisory.

PackageAffected versionsPatched versions
tensorflowPyPI
< 2.1.42.1.4
tensorflowPyPI
>= 2.2.0, < 2.2.32.2.3
tensorflowPyPI
>= 2.3.0, < 2.3.32.3.3
tensorflowPyPI
>= 2.4.0, < 2.4.22.4.2
tensorflow-cpuPyPI
< 2.1.42.1.4
tensorflow-cpuPyPI
>= 2.2.0, < 2.2.32.2.3
tensorflow-cpuPyPI
>= 2.3.0, < 2.3.32.3.3
tensorflow-cpuPyPI
>= 2.4.0, < 2.4.22.4.2
tensorflow-gpuPyPI
< 2.1.42.1.4
tensorflow-gpuPyPI
>= 2.2.0, < 2.2.32.2.3
tensorflow-gpuPyPI
>= 2.3.0, < 2.3.32.3.3
tensorflow-gpuPyPI
>= 2.4.0, < 2.4.22.4.2

Affected products

1

Patches

1
f6c40f0c6cbf

Validate min and max arguments to `QuantizedResizeBilinear`.

https://github.com/tensorflow/tensorflowMihai MaruseacApr 22, 2021via ghsa
commit
1 file changed · +8 −2
  • tensorflow/core/kernels/quantized_resize_bilinear_op.cc+8 −2 modified
    @@ -702,8 +702,14 @@ class QuantizedResizeBilinearOp : public OpKernel {
   }
 
   void Compute(OpKernelContext* context) override {
-    const float in_min = context->input(2).flat<float>()(0);
-    const float in_max = context->input(3).flat<float>()(0);
+    const auto& in_min_tensor = context->input(2);
+    OP_REQUIRES(context, TensorShapeUtils::IsScalar(in_min_tensor.shape()),
+                errors::InvalidArgument("min must be a scalar"));
+    const float in_min = in_min_tensor.flat<float>()(0);
+    const auto& in_max_tensor = context->input(3);
+    OP_REQUIRES(context, TensorShapeUtils::IsScalar(in_max_tensor.shape()),
+                errors::InvalidArgument("max must be a scalar"));
+    const float in_max = in_max_tensor.flat<float>()(0);
 
     ImageResizerState st(align_corners_, false);
     st.ValidateAndCreateOutput(context);

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

7

News mentions

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