TensorFlow is an open source platform for machine learning. The `RaggedRangOp` function takes an argument `limits` that is eventually used to construct a `TensorShape` as an `int64`. If `limits` is a very large float, it can overflow when converted to an `int64`. This triggers an `InvalidArgument` but also throws an abort signal that crashes the program. We have patched the issue in GitHub commit 37cefa91bee4eace55715eeef43720b958a01192. 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. There are no known workarounds for this issue.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/blob/0b6b491d21d6a4eb5fbab1cca565bc1e94ca9543/tensorflow/core/kernels/ragged_range_op.cc#L74-L88 | Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/37cefa91bee4eace55715eeef43720b958a01192 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x989-q2pq-4q5x | Patch Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2022-09-16T19:45:20
Updated: 2022-09-16T19:45:20
Reserved: 2022-07-15T00:00:00
Link: CVE-2022-35940
JSON object: View
NVD Information
Status : Analyzed
Published: 2022-09-16T20:15:10.307
Modified: 2022-09-20T18:07:41.103
Link: CVE-2022-35940
JSON object: View
Redhat Information
No data.
CWE