CVE-2022-35952

CVSS v3 Score
7.5
High

Vulnerability Description

TensorFlow is an open source platform for machine learning. The `UnbatchGradOp` function takes an argument `id` that is assumed to be a scalar. A nonscalar `id` can trigger a `CHECK` failure and crash the program. It also requires its argument `batch_index` to contain three times the number of elements as indicated in its `batch_index.dim_size(0)`. An incorrect `batch_index` can trigger a `CHECK` failure and crash the program. We have patched the issue in GitHub commit 5f945fc6409a3c1e90d6970c9292f805f6e6ddf2. 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 ...