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Tracking
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| 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` |
Sun, 13 Jul 2025 13:45:00 +0000
| Type | Values Removed | Values Added |
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| Metrics |
epss
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Wed, 23 Apr 2025 17:15:00 +0000
| Type | Values Removed | Values Added |
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| Metrics |
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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
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OpenCVE Enrichment
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EUVD
Github GHSA