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Security Advisories: MDE2OlNlY3VyaXR5QWR2aXNvcnlHSFNBLWNyY2gtajM4OS01Zjg0

Heap OOB write in TFLite


A specially crafted TFLite model could trigger an OOB write on heap in the TFLite implementation of ArgMin/ArgMax:

TfLiteIntArray* output_dims = TfLiteIntArrayCreate(NumDimensions(input) - 1);
int j = 0;
for (int i = 0; i < NumDimensions(input); ++i) { 
  if (i != axis_value) {
    output_dims->data[j] = SizeOfDimension(input, i);

If axis_value is not a value between 0 and NumDimensions(input), then the condition in the if is never true, so code writes past the last valid element of output_dims->data.


We have patched the issue in GitHub commit c59c37e7b2d563967da813fa50fe20b21f4da683.

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.

For more information

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This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Source: GitHub Advisory Database
Origin: Unspecified
Severity: Low
Classification: General
Published: over 2 years ago
Updated: 10 months ago

CVSS Score: 2.5
CVSS vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

Identifiers: GHSA-crch-j389-5f84, CVE-2021-29603

Affected Packages

Versions: >= 2.4.0, < 2.4.2, >= 2.3.0, < 2.3.3, >= 2.2.0, < 2.2.3, < 2.1.4
Fixed in: 2.4.2, 2.3.3, 2.2.3, 2.1.4