https://db.gcve.eu/sightings/feed 2026-04-30T17:37:25.362000+00:00 Vulnerability-Lookup info@gcve.eu python-feedgen Contains only the most 10 recent sightings. https://db.gcve.eu/sighting/03844679-ce08-4c29-bd2c-dd5dd717c998/export 2026-04-30T17:37:25.762439+00:00 cedric http://db.gcve.eu/user/cedric {"uuid": "03844679-ce08-4c29-bd2c-dd5dd717c998", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "2a075640-a300-48a4-bb44-bc6130783b9b", "vulnerability": "GHSA-R26C-679W-MRJM", "type": "published-proof-of-concept", "source": "https://t.me/DarkWebInformer_CVEAlerts/13079", "content": "\ud83d\udd17 DarkWebInformer.com - Cyber Threat Intelligence\n\ud83d\udccc CVE ID: CVE-2022-36005\n\ud83d\udd25 CVSS Score: 5.9 (cvssV3_1, Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H)\n\ud83d\udd39 Description: TensorFlow 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.\n\ud83d\udccf Published: 2022-09-16T22:10:31.000Z\n\ud83d\udccf Modified: 2025-04-23T17:00:39.728Z\n\ud83d\udd17 References:\n1. https://github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bb319feed\n2. https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r26c-679w-mrjm", "creation_timestamp": "2025-04-23T17:04:51.000000Z"} 2025-04-23T17:04:51+00:00