Heap OOB read in TFLite's implementation of `Minimum` or `Maximum`
Description
TensorFlow is an end-to-end open source platform for machine learning. The implementations of the Minimum and Maximum TFLite operators can be used to read data outside of bounds of heap allocated objects, if any of the two input tensor arguments are empty. This is because the broadcasting implementation(https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/internal/reference/maximum_minimum.h#L52-L56) indexes in both tensors with the same index but does not validate that the index is within bounds. 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
1953f28dca13cPrevent a null pointer exception in TFLite
1 file changed · +31 −29
tensorflow/lite/kernels/maximum_minimum.cc+31 −29 modified@@ -157,35 +157,37 @@ template <KernelType kernel_type, typename OpType> TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) { OpContext op_context(context, node); - switch (op_context.output->type) { - case kTfLiteFloat32: - TFLiteOperation<kernel_type, float, OpType>(context, node, op_context); - break; - case kTfLiteUInt8: - TFLiteOperation<kernel_type, uint8_t, OpType>(context, node, - op_context); - break; - case kTfLiteInt8: - TFLiteOperation<kernel_type, int8_t, OpType>(context, node, op_context); - break; - case kTfLiteInt32: - TFLiteOperation<kernel_type, int32_t, OpType>(context, node, - op_context); - break; - case kTfLiteInt64: - TFLiteOperation<kernel_type, int64_t, OpType>(context, node, - op_context); - break; - case kTfLiteInt16: - TFLiteOperation<kernel_type, int16_t, OpType>(context, node, - op_context); - break; - default: - context->ReportError(context, - "Type %d is currently not supported by Maximum.", - op_context.output->type); - return kTfLiteError; - } + // If inputs have no element, shortcircuit. + if (NumElements(op_context.input1) == 0 || + NumElements(op_context.input2) == 0) { + return kTfLiteOk; + } + + switch (op_context.output->type) { + case kTfLiteFloat32: + TFLiteOperation<kernel_type, float, OpType>(context, node, op_context); + break; + case kTfLiteUInt8: + TFLiteOperation<kernel_type, uint8_t, OpType>(context, node, op_context); + break; + case kTfLiteInt8: + TFLiteOperation<kernel_type, int8_t, OpType>(context, node, op_context); + break; + case kTfLiteInt32: + TFLiteOperation<kernel_type, int32_t, OpType>(context, node, op_context); + break; + case kTfLiteInt64: + TFLiteOperation<kernel_type, int64_t, OpType>(context, node, op_context); + break; + case kTfLiteInt16: + TFLiteOperation<kernel_type, int16_t, OpType>(context, node, op_context); + break; + default: + context->ReportError(context, + "Type %d is currently not supported by Maximum.", + op_context.output->type); + return kTfLiteError; + } return kTfLiteOk; }
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
8- github.com/advisories/GHSA-24x6-8c7m-hv3fghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2021-29590ghsaADVISORY
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-518.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-716.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-227.yamlghsaWEB
- github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/internal/reference/maximum_minimum.hghsaWEB
- github.com/tensorflow/tensorflow/commit/953f28dca13c92839ba389c055587cfe6c723578ghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/security/advisories/GHSA-24x6-8c7m-hv3fghsax_refsource_CONFIRMWEB
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