CVE-2022-36005

CVSS v3 Score
7.5
High

Vulnerability 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.

CVSS:7.5(High)

BIND before 9.2.6-P1 and 9.3.x before 9.3.2-P1 allows remote attackers to cause a denial of service (crash) via certain SIG queries, which cause an assertion failure when multiple RRsets are returned.

CVSS:7.5(High)

OpenLDAP before 2.3.29 allows remote attackers to cause a denial of service (daemon crash) via LDAP BIND requests with long authcid names, which triggers an assertion failure.

CVSS:7.5(High)

oftpd before 0.3.7 allows remote attackers to cause a denial of service (daemon abort) via a (1) LPRT or (2) LPASV command with an unsupported address family, which triggers an assertion failure.

CVSS:7.5(High)

Polipo before 1.0.4.1 suffers from a DoD vulnerability via specially-crafted HTTP POST / PUT request.

CVSS:7.5(High)

lldpd before 0.8.0 allows remote attackers to cause a denial of service (assertion failure and daemon crash) via a malformed packet.

CVSS:7.5(High)

named in ISC BIND 9.x before 9.9.9-P4, 9.10.x before 9.10.4-P4, and 9.11.x before 9.11.0-P1 allows remote attackers to cause a denial of service (assertion failure and daemon exit) via a DNAME record ...