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Crestron AM-100 with firmware 1.6.0.2 and AM-101 with firmware 2.7.0.2 are vulnerable to authentication bypass due to a hard-coded password in return.tgi. A remote, unauthenticated attacker can use this vulnerability to control external devices via the uart_bridge.

The ping_from parameter of ping_tracerte.cgi in the web UI of Telstra Smart Modem Gen 2 (Arcadyan LH1000), firmware versions < 0.18.15r, was not properly sanitized before being used in a system call, which could allow an authenticated attacker to achieve command injection as root on the device. 

Jenkins 2.470 and earlier, LTS 2.452.3 and earlier does not perform a permission check in an HTTP endpoint. This allows attackers with Overall/Read permission to access other users' "My Views". Attackers with global View/Configure and View/Delete permissions are also able to change other users' "My Views". Jenkins 2.471, LTS 2.452.4, LTS 2.462.1 restricts access to a user’s "My Views" to the owning user and administrators.

Unauthenticated redirection to a malicious website

A vulnerability has been identified that, if exploited, could result in a local user elevating their privilege level to NT AUTHORITY\SYSTEM on a Citrix Virtual Apps and Desktops Windows VDA.

IBM Security Guardium Insights 3.0 could allow an authenticated user to obtain sensitive information due to insufficient session expiration. IBM X-Force ID: 205256.

wolfSSL before 5.4.0 allows remote attackers to cause a denial of service via DTLS because a check for return-routability can be skipped.

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that `TensorByteSize` would trigger `CHECK` failures. `TensorShape` constructor throws a `CHECK`-fail if shape is partial or has a number of elements that would overflow the size of an `int`. The `PartialTensorShape` constructor instead does not cause a `CHECK`-abort if the shape is partial, which is exactly what this function needs to be able to return `-1`. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

uthenticode is a small cross-platform library for partially verifying Authenticode digital signatures. Versions of uthenticode prior to the 2.x series did not check Extended Key Usages in certificates, in violation of the Authenticode X.509 certificate profile. As a result, a malicious user could produce a "signed" PE file that uthenticode would verify and consider valid using an X.509 certificate that isn't entitled to produce code signatures (e.g., a SSL certificate). By design, uthenticode does not perform full-chain validation. However, the absence of EKU validation was an unintended oversight. The 2.0.0 release series includes EKU checks. There are no workarounds to this vulnerability.

Jenkins Delphix Plugin 3.0.2 and earlier does not set the appropriate context for credentials lookup, allowing attackers with Overall/Read permission to access and capture credentials they are not entitled to.