CHECK-fail in `tf.raw_ops.RFFT`
Description
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by exploiting a CHECK-failure coming from the implementation of tf.raw_ops.RFFT. Eigen code operating on an empty matrix can trigger on an assertion and will cause program termination. 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
131bd50263046Prevent check fail in FFT
1 file changed · +3 −0
tensorflow/core/kernels/fft_ops.cc+3 −0 modified@@ -222,6 +222,9 @@ class FFTCPU : public FFTBase { input_slice_sizes[i] = fft_shape[i - 1]; temp_shape.AddDim(fft_shape[i - 1]); } + OP_REQUIRES(ctx, temp_shape.num_elements() > 0, + errors::InvalidArgument("Obtained a FFT shape of 0 elements: ", + temp_shape.DebugString())); auto output = out->flat_inner_dims<ComplexT, FFTRank + 1>(); const Eigen::DSizes<Eigen::DenseIndex, FFTRank + 1> zero_start_indices;
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-ph87-fvjr-v33wghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2021-29563ghsaADVISORY
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-491.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-689.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-200.yamlghsaWEB
- github.com/tensorflow/tensorflow/commit/31bd5026304677faa8a0b77602c6154171b9aec1ghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/security/advisories/GHSA-ph87-fvjr-v33wghsax_refsource_CONFIRMWEB
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