ensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_gradient` receives input `min` or `max` that is nonscalar, 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.
| Link | Resource |
|---|---|
| https://github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bb319feed | Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r26c-679w-mrjm | Third Party Advisory |
| https://github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bb319feed | Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r26c-679w-mrjm | Third Party Advisory |
Configuration 1 (hide)
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21 Nov 2024, 07:12
| Type | Values Removed | Values Added |
|---|---|---|
| CVSS |
v2 : v3 : |
v2 : unknown
v3 : 5.9 |
| References | () https://github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bb319feed - Patch, Third Party Advisory | |
| References | () https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r26c-679w-mrjm - Third Party Advisory |
Published : 2022-09-16 23:15
Updated : 2024-11-21 07:12
NVD link : CVE-2022-36005
Mitre link : CVE-2022-36005
CVE.ORG link : CVE-2022-36005
JSON object : View
Reachable Assertion