PT-2026-59956 · Pypi · Tensorflow-Cpu
Published
2026-07-09
·
Updated
2026-07-09
CVSS v3.1
5.5
Medium
| Vector | AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
Impact
The implementation of [
tf.raw ops.UnsortedSegmentJoin](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/unsorted segment join op.cc#L83-L148) does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:python
import tensorflow as tf
tf.strings.unsorted segment join(
inputs=['123'],
segment ids=[0],
num segments=-1)The code assumes
num segments is a positive scalar but there is no validation:cc
const Tensor& num segments tensor = context->input(2);
auto num segments = num segments tensor.scalar<NUM SEGMENTS TYPE>()();
// ...
Tensor* output tensor = nullptr;
TensorShape output shape =
GetOutputShape(input shape, segment id shape, num segments);Since this value is used to allocate the output tensor, a negative value would result in a
CHECK-failure (assertion failure), as per TFSA-2021-198.Patches
We have patched the issue in GitHub commit 84563f265f28b3c36a15335c8b005d405260e943 and GitHub commit 20cb18724b0bf6c09071a3f53434c4eec53cc147.
The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, as these are also affected and still in supported range.
For more information
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Attribution
This vulnerability has been reported externally via a GitHub issue.
Fix
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Related Identifiers
Affected Products
Tensorflow-Cpu