PT-2026-59777 · Pypi · Tensorflow
Published
2026-07-09
·
Updated
2026-07-09
CVSS v3.1
6.5
Medium
| Vector | AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
Impact
The [implementation of
OpLevelCostEstimator::CalculateTensorSize](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op level cost estimator.cc#L1552-L1558) is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements:cc
int64 t OpLevelCostEstimator::CalculateTensorSize(
const OpInfo::TensorProperties& tensor, bool* found unknown shapes) {
int64 t count = CalculateTensorElementCount(tensor, found unknown shapes);
int size = DataTypeSize(BaseType(tensor.dtype()));
VLOG(2) << "Count: " << count << " DataTypeSize: " << size;
return count * size;
}Here,
count and size can be large enough to cause count * size to overflow.Patches
We have patched the issue in GitHub commit fcd18ce3101f245b083b30655c27b239dc72221e.
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
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Fix
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Related Identifiers
Affected Products
Tensorflow