Division by 0 in `QuantizedBiasAdd`
Description
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger an integer division by zero undefined behavior in tf.raw_ops.QuantizedBiasAdd. This is because the implementation of the Eigen kernel(https://github.com/tensorflow/tensorflow/blob/61bca8bd5ba8a68b2d97435ddfafcdf2b85672cd/tensorflow/core/kernels/quantization_utils.h#L812-L849) does a division by the number of elements of the smaller input (based on shape) without checking that this is not zero. 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
1677847008694Prevent division by 0 in `QuantizedBiasAdd`.
1 file changed · +2 −0
tensorflow/core/kernels/quantized_bias_add_op.cc+2 −0 modified@@ -56,6 +56,8 @@ class QuantizedBiasAddOp : public OpKernel { "Must provide as many biases as the last dimension " "of the input tensor: ", bias.shape().DebugString(), " vs. ", input.shape().DebugString())); + OP_REQUIRES(context, bias.NumElements() > 0, + errors::InvalidArgument("Must provide at least 1 bias")); Tensor* output = nullptr; OP_REQUIRES_OK(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- github.com/advisories/GHSA-m34j-p8rj-wjxqghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2021-29546ghsaADVISORY
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-474.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-672.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-183.yamlghsaWEB
- github.com/tensorflow/tensorflow/commit/67784700869470d65d5f2ef20aeb5e97c31673cbghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/security/advisories/GHSA-m34j-p8rj-wjxqghsax_refsource_CONFIRMWEB
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