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

Heap OOB read in TFLite's implementation of `Minimum` or `Maximum`

CVE-2021-29590

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.

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
953f28dca13c

Prevent a null pointer exception in TFLite

https://github.com/tensorflow/tensorflowMihai MaruseacApr 28, 2021via ghsa
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

News mentions

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