TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient` receives input `min` or `max` of rank other than 1, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. 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.
Metrics
Affected Vendors & Products
Advisories
| Source | ID | Title |
|---|---|---|
EUVD |
EUVD-2022-6837 | TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient` receives input `min` or `max` of rank other than 1, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. 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. |
Github GHSA |
GHSA-h7ff-cfc9-wmmh | TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannelGradient` |
Fixes
Solution
No solution given by the vendor.
Workaround
No workaround given by the vendor.
References
History
Sun, 13 Jul 2025 13:45:00 +0000
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Wed, 23 Apr 2025 17:15:00 +0000
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Status: PUBLISHED
Assigner: GitHub_M
Published:
Updated: 2025-04-23T17:01:29.664Z
Reserved: 2022-07-15T00:00:00.000Z
Link: CVE-2022-35990
Updated: 2024-08-03T09:51:59.863Z
Status : Modified
Published: 2022-09-16T22:15:11.727
Modified: 2024-11-21T07:12:07.730
Link: CVE-2022-35990
No data.
OpenCVE Enrichment
No data.
EUVD
Github GHSA