https://db.gcve.eu/sightings/feed 2026-04-30T20:04:31.840118+00:00 Vulnerability-Lookup info@gcve.eu python-feedgen Contains only the most 10 recent sightings. https://db.gcve.eu/sighting/471125b6-16de-41cf-adaf-84dc98310046/export 2026-04-30T20:04:32.214815+00:00 cedric http://db.gcve.eu/user/cedric {"uuid": "471125b6-16de-41cf-adaf-84dc98310046", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "2a075640-a300-48a4-bb44-bc6130783b9b", "vulnerability": "CVE-2022-29200", "type": "seen", "source": "https://t.me/cibsecurity/43119", "content": "\u203c CVE-2022-29200 \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.raw_ops.LSTMBlockCell` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code does not validate the ranks of any of the arguments to this API call. This results in `CHECK`-failures when the elements of the tensor are accessed. 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": "2022-05-21T02:31:13.000000Z"} 2022-05-21T02:31:13+00:00 https://db.gcve.eu/sighting/5c333c4f-d047-4e36-a264-242a114c501b/export 2026-04-30T20:04:32.213077+00:00 cedric http://db.gcve.eu/user/cedric {"uuid": "5c333c4f-d047-4e36-a264-242a114c501b", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "2a075640-a300-48a4-bb44-bc6130783b9b", "vulnerability": "CVE-2022-29200", "type": "published-proof-of-concept", "source": "https://t.me/DarkWebInformer_CVEAlerts/12928", "content": "\ud83d\udd17 DarkWebInformer.com - Cyber Threat Intelligence\n\ud83d\udccc CVE ID: CVE-2022-29200\n\ud83d\udd25 CVSS Score: 5.5 (cvssV3_1, Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H)\n\ud83d\udd39 Description: TensorFlow 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.raw_ops.LSTMBlockCell` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code does not validate the ranks of any of the arguments to this API call. This results in `CHECK`-failures when the elements of the tensor are accessed. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.\n\ud83d\udccf Published: 2022-05-20T21:30:14.000Z\n\ud83d\udccf Modified: 2025-04-22T17:59:47.129Z\n\ud83d\udd17 References:\n1. https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4\n2. https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2\n3. https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1\n4. https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0\n5. https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2vv3-56qg-g2cf\n6. https://github.com/tensorflow/tensorflow/commit/803404044ae7a1efac48ba82d74111fce1ddb09a\n7. https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/rnn/lstm_ops.cc", "creation_timestamp": "2025-04-22T18:03:44.000000Z"} 2025-04-22T18:03:44+00:00