CVE-2022-36015
TensorFlow vulnerable to integer overflow in math ops
Impact
### 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.
Affected packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | tensorflow | < 2.7.2 | 2.7.2 |
| pip | tensorflow-cpu | < 2.7.2 | 2.7.2 |
| pip | tensorflow-gpu | < 2.7.2 | 2.7.2 |
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Tensorflow | before 2.7.2 from 2.8.0 before 2.8.1 from 2.9.0 before 2.9.1 Version 2.10 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/math_ops.cc
- https://github.com/tensorflow/tensorflow/commit/37e64539cd29fcfb814c4451152a60f5d107b0f0
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rh87-q4vg-m45j
- https://github.com/advisories/GHSA-rh87-q4vg-m45j
- https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
- https://nvd.nist.gov/vuln/detail/CVE-2022-36015