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High severityNVD Advisory· Published Nov 5, 2021· Updated Aug 4, 2024

Heap OOB read in shape inference for `QuantizeV2`

CVE-2021-41211

Description

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for QuantizeV2 can trigger a read outside of bounds of heap allocated array. This occurs whenever axis is a negative value less than -1. In this case, we are accessing data before the start of a heap buffer. The code allows axis to be an optional argument (s would contain an error::NOT_FOUND error code). Otherwise, it assumes that axis is a valid index into the dimensions of the input tensor. If axis is less than -1 then this results in a heap OOB read. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.

Affected packages

Versions sourced from the GitHub Security Advisory.

PackageAffected versionsPatched versions
tensorflowPyPI
>= 2.6.0, < 2.6.12.6.1
tensorflow-cpuPyPI
>= 2.6.0, < 2.6.12.6.1
tensorflow-gpuPyPI
>= 2.6.0, < 2.6.12.6.1

Affected products

1

Patches

1
a0d64445116c

Prevent OOB access in QuantizeV2 shape inference

https://github.com/tensorflow/tensorflowYu-Cheng LingOct 1, 2021via ghsa
commit
1 file changed · +3 −0
  • tensorflow/core/framework/common_shape_fns.cc+3 −0 modified
    @@ -2559,6 +2559,9 @@ Status QuantizeV2Shape(InferenceContext* c) {
   if (!s.ok() && s.code() != error::NOT_FOUND) {
     return s;
   }
+  if (axis < -1) {
+    return errors::InvalidArgument("axis should be at least -1, got ", axis);
+  }
   const int minmax_rank = (axis == -1) ? 0 : 1;
   TF_RETURN_IF_ERROR(shape_inference::UnchangedShape(c));
   ShapeHandle minmax;

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

News mentions

0

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