https://vulnerability.circl.lu/sightings/feed 2026-06-01T20:24:53.975915+00:00 Vulnerability-Lookup info@circl.lu python-feedgen Contains only the most 10 recent sightings. https://vulnerability.circl.lu/sighting/1c96097b-56bd-4133-8adb-ba705d96e7d4/export 2026-06-01T20:24:54.432301+00:00 Automation user https://vulnerability.circl.lu/user/automation {"uuid": "1c96097b-56bd-4133-8adb-ba705d96e7d4", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "9f56dd64-161d-43a6-b9c3-555944290a09", "vulnerability": "CVE-2022-29211", "type": "seen", "source": "https://t.me/cibsecurity/43135", "content": "\u203c CVE-2022-29211 \u203c\n\nTensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.histogram_fixed_width` is vulnerable to a crash when the values array contain `Not a Number` (`NaN`) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If `values` contains `NaN` then the result of the division is still `NaN` and the cast to `int32` would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.\n\n\ud83d\udcd6 Read\n\nvia \"National Vulnerability Database\".", "creation_timestamp": "2022-05-21T07:44:57.000000Z"} 2022-05-21T07:44:57+00:00