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Severe, 6 weeks1496Projects326

1496 severe, 6 weeks · 326 projects

TensorFlowGHSA-jf7h-7m85-w2v2

Integer overflow in TFLite memory allocation

TensorFlow

CVE-2021-29605 · Published May 21, 2021 · updated Sep 10, 2026

Medium7.1
Fix: upgrade to 2.1.4 or later (4 fixed versions below)
GitHub advisory

Impact

The TFLite code for allocating TFLiteIntArrays is [vulnerable to an integer overflow issue](https://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.c#L24-L27):

```cc

int TfLiteIntArrayGetSizeInBytes(int size) {

static TfLiteIntArray dummy;

return sizeof(dummy) + sizeof(dummy.data[0]) * size;

}

`

An attacker can craft a model such that the size multiplier is so large that the return value overflows the int datatype and becomes negative. In turn, this results in [invalid value being given to malloc](https://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.c#L47-L52):

```cc

TfLiteIntArray* TfLiteIntArrayCreate(int size) {

TfLiteIntArray* ret = (TfLiteIntArray*)malloc(TfLiteIntArrayGetSizeInBytes(size));

ret->size = size;

return ret;

}

`

In this case, ret->size would dereference an invalid pointer.

Patches

We have patched the issue in GitHub commit [7c8cc4ec69cd348e44ad6a2699057ca88faad3e5](https://github.com/tensorflow/tensorflow/commit/7c8cc4ec69cd348e44ad6a2699057ca88faad3e5).

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

Please...

Affected versions

PackageAffectedFixed in
tensorflow
PyPI
< 2.1.42.1.4
>= 2.2.0, < 2.2.32.2.3
>= 2.3.0, < 2.3.32.3.3
>= 2.4.0, < 2.4.22.4.2
Details and references

### Impact The TFLite code for allocating `TFLiteIntArray`s is [vulnerable to an integer overflow issue](https://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.c#L24-L27): ```cc int TfLiteIntArrayGetSizeInBytes(int size) { static TfLiteIntArray dummy; return sizeof(dummy) + sizeof(dummy.data[0]) * size; } ``` An attacker can craft a model such that the `size` multiplier is so large that the return value overflows the `int` datatype and becomes negative. In turn, this results in [invalid value being given to `malloc`](https://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.c#L47-L52): ```cc TfLiteIntArray* TfLiteIntArrayCreate(int size) { TfLiteIntArray* ret = (TfLiteIntArray*)malloc(TfLiteIntArrayGetSizeInBytes(size)); ret->size = size; return ret; } ``` In this case, `ret->size` would dereference an invalid pointer. ### Patches We have patched the issue in GitHub commit [7c8cc4ec69cd348e44ad6a2699057ca88faad3e5](https://github.com/tensorflow/tensorflow/commit/7c8cc4ec69cd348e44ad6a2699057ca88faad3e5). 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 Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

CVSS 3.1
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H
Severity from
GitHub (reviewed advisory)
Weakness
CWE-190
Also known as
BIT-tensorflow-2021-29605, CVE-2021-29605, PYSEC-2021-242, PYSEC-2021-533, PYSEC-2021-731

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