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GHSA-627q-g293-49q7

GitHub Security Advisory

Abort caused by allocating a vector that is too large in Tensorflow

✓ GitHub Reviewed MODERATE Has CVE

Advisory Details

### Impact
During shape inference, TensorFlow can [allocate a large vector](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape_inference.cc#L788-L790) based on a value from a tensor controlled by the user:

```cc
const auto num_dims = Value(shape_dim);
std::vector<DimensionHandle> dims;
dims.reserve(num_dims);
```

### Patches
We have patched the issue in GitHub commit [1361fb7e29449629e1df94d44e0427ebec8c83c7](https://github.com/tensorflow/tensorflow/commit/1361fb7e29449629e1df94d44e0427ebec8c83c7).

The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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

PyPI tensorflow
Affected versions: 0 (fixed in 2.5.3)
PyPI tensorflow
Affected versions: 2.6.0 (fixed in 2.6.3)
PyPI tensorflow
Affected versions: 2.7.0 (fixed in 2.7.1)
PyPI tensorflow-cpu
Affected versions: 0 (fixed in 2.5.3)
PyPI tensorflow-cpu
Affected versions: 2.6.0 (fixed in 2.6.3)
PyPI tensorflow-cpu
Affected versions: 2.7.0 (fixed in 2.7.1)
PyPI tensorflow-gpu
Affected versions: 0 (fixed in 2.5.3)
PyPI tensorflow-gpu
Affected versions: 2.6.0 (fixed in 2.6.3)
PyPI tensorflow-gpu
Affected versions: 2.7.0 (fixed in 2.7.1)

Related CVEs

Key Information

GHSA ID
GHSA-627q-g293-49q7
Published
February 7, 2022 10:01 PM
Last Modified
November 7, 2024 10:27 PM
CVSS Score
5.0 /10
Primary Ecosystem
PyPI
Primary Package
tensorflow
GitHub Reviewed
✓ Yes

Dataset

Last updated: September 13, 2025 6:30 AM

Data from GitHub Advisory Database. This information is provided for research and educational purposes.