AI and data stack advisories

Severe, 6 weeks1498Projects326

1498 severe, 6 weeks · 326 projects

TensorFlowGHSA-rh87-q4vg-m45j

TensorFlow vulnerable to integer overflow in math ops

TensorFlow

CVE-2022-36015 · Published Sep 16, 2022 · updated Jul 13, 2026

Low
Fix: upgrade to 2.7.2 or later (3 fixed versions below)
GitHub advisory

Impact

When [RangeSize](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/math_ops.cc) receives values that do not fit into an int64_t, it crashes.

```cpp

auto size = (std::is_integral<T>::value

? ((Eigen::numext::abs(limit - start) +

Eigen::numext::abs(delta) - T(1)) /

Eigen::numext::abs(delta))

: (Eigen::numext::ceil(

Eigen::numext::abs((limit - start) / delta))));

// This check does not cover all cases.

if (size > std::numeric_limits<int64_t>::max()) {

return errors::InvalidArgument("Requires ((limit - start) / delta) <= ",

std::numeric_limits<int64_t>::max());

}

c->set_output(0, c->Vector(static_cast<int64_t>(size)));

return Status::OK();

}

`

Patches

We have patched the issue in GitHub commit [37e64539cd29fcfb814c4451152a60f5d107b0f0](https://github.com/tensorflow/tensorflow/commit/37e64539cd29fcfb814c4451152a60f5d107b0f0).

The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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...

Affected versions

PackageAffectedFixed in
tensorflow
PyPI
< 2.7.22.7.2
>= 2.8.0, < 2.8.12.8.1
>= 2.9.0, < 2.9.12.9.1
Details and references

### Impact When [`RangeSize`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/math_ops.cc) receives values that do not fit into an `int64_t`, it crashes. ```cpp auto size = (std::is_integral<T>::value ? ((Eigen::numext::abs(limit - start) + Eigen::numext::abs(delta) - T(1)) / Eigen::numext::abs(delta)) : (Eigen::numext::ceil( Eigen::numext::abs((limit - start) / delta)))); // This check does not cover all cases. if (size > std::numeric_limits<int64_t>::max()) { return errors::InvalidArgument("Requires ((limit - start) / delta) <= ", std::numeric_limits<int64_t>::max()); } c->set_output(0, c->Vector(static_cast<int64_t>(size))); return Status::OK(); } ``` ### Patches We have patched the issue in GitHub commit [37e64539cd29fcfb814c4451152a60f5d107b0f0](https://github.com/tensorflow/tensorflow/commit/37e64539cd29fcfb814c4451152a60f5d107b0f0). The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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.

Severity from
GitHub (reviewed advisory)
Weakness
CWE-190
Also known as
BIT-tensorflow-2022-36015, CVE-2022-36015, PYSEC-2026-1033, PYSEC-2026-3237, PYSEC-2026-3367

More TensorFlow advisories

All TensorFlow
Medium 5.9Sep 16, 2022TensorFlow vulnerable to `CHECK` fail in `Save` and `SaveSlices`CVE-2022-35983fixed in 2.7.2 +2Medium 5.9Sep 16, 2022TensorFlow vulnerable to `CHECK` fail in `ParameterizedTruncatedNormal`CVE-2022-35984fixed in 2.7.2 +2Medium 5.9Sep 16, 2022TensorFlow vulnerable to `CHECK` fail in `LRNGrad`CVE-2022-35985fixed in 2.7.2 +2Medium 5.9Sep 16, 2022TensorFlow vulnerable to segfault in `RaggedBincount`CVE-2022-35986fixed in 2.7.2 +2Medium 5.9Sep 16, 2022TensorFlow vulnerable to `CHECK` fail in `tf.linalg.matrix_rank`CVE-2022-35988fixed in 2.7.2 +2Medium 5.9Sep 16, 2022TensorFlow vulnerable to `CHECK` fail in `MaxPool`CVE-2022-35989fixed in 2.7.2 +2