~ / search / GHSA-rh87-q4vg-m45j

GHSA-rh87-q4vg-m45j

TensorFlow vulnerable to integer overflow in math ops

Source: GitHub Advisory Database (reviewed) Low CVE-2022-36015

Packages

EcosystemPackageAffectedFixed in
PyPI tensorflow < 2.7.2 2.7.2
PyPI tensorflow >= 2.8.0, < 2.8.1 2.8.1
PyPI tensorflow >= 2.9.0, < 2.9.1 2.9.1
PyPI tensorflow-cpu < 2.7.2 2.7.2
PyPI tensorflow-cpu >= 2.8.0, < 2.8.1 2.8.1
PyPI tensorflow-cpu >= 2.9.0, < 2.9.1 2.9.1
PyPI tensorflow-gpu < 2.7.2 2.7.2
PyPI tensorflow-gpu >= 2.8.0, < 2.8.1 2.8.1
PyPI tensorflow-gpu >= 2.9.0, < 2.9.1 2.9.1

Details

As written in the advisory (Markdown source, shown as plain text).

### 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.

References

External links from the advisory. They lead to third-party sites.