Invalid validation in `QuantizeAndDequantizeV2`
Description
TensorFlow is an end-to-end open source platform for machine learning. The validation in tf.raw_ops.QuantizeAndDequantizeV2 allows invalid values for axis argument:. The validation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L74-L77) uses || to mix two different conditions. If axis_ < -1 the condition in OP_REQUIRES will still be true, but this value of axis_ results in heap underflow. This allows attackers to read/write to other data on the heap. 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.
| Package | Affected versions | Patched versions |
|---|---|---|
tensorflowPyPI | < 2.1.4 | 2.1.4 |
tensorflowPyPI | >= 2.2.0, < 2.2.3 | 2.2.3 |
tensorflowPyPI | >= 2.3.0, < 2.3.3 | 2.3.3 |
tensorflowPyPI | >= 2.4.0, < 2.4.2 | 2.4.2 |
tensorflow-cpuPyPI | < 2.1.4 | 2.1.4 |
tensorflow-cpuPyPI | >= 2.2.0, < 2.2.3 | 2.2.3 |
tensorflow-cpuPyPI | >= 2.3.0, < 2.3.3 | 2.3.3 |
tensorflow-cpuPyPI | >= 2.4.0, < 2.4.2 | 2.4.2 |
tensorflow-gpuPyPI | < 2.1.4 | 2.1.4 |
tensorflow-gpuPyPI | >= 2.2.0, < 2.2.3 | 2.2.3 |
tensorflow-gpuPyPI | >= 2.3.0, < 2.3.3 | 2.3.3 |
tensorflow-gpuPyPI | >= 2.4.0, < 2.4.2 | 2.4.2 |
Affected products
1- Range: < 2.1.4
Patches
1c5b0d5f8ac19Fix the CHECK failure in tf.raw_ops.QuantizeAndDequantizeV2.
1 file changed · +3 −0
tensorflow/core/kernels/quantize_and_dequantize_op.cc+3 −0 modified@@ -72,6 +72,9 @@ class QuantizeAndDequantizeV2Op : public OpKernel { void Compute(OpKernelContext* ctx) override { const Tensor& input = ctx->input(0); + OP_REQUIRES( + ctx, axis_ >= -1, + errors::InvalidArgument("Axis must be at least -1. Found ", axis_)); OP_REQUIRES( ctx, (axis_ == -1 || axis_ < input.shape().dims()), errors::InvalidArgument("Shape must be at least rank ", axis_ + 1,
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- github.com/advisories/GHSA-mq5c-prh3-3f3hghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2021-29610ghsaADVISORY
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-538.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-736.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-247.yamlghsaWEB
- github.com/tensorflow/tensorflow/commit/c5b0d5f8ac19888e46ca14b0e27562e7fbbee9a9ghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/security/advisories/GHSA-mq5c-prh3-3f3hghsax_refsource_CONFIRMWEB
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