#android

Gradle is a build tool with a focus on build automation and support for multi-language development. In some cases, Gradle may skip that verification and accept a dependency that would otherwise fail the build as an untrusted external artifact. This occurs when dependency verification is disabled on one or more configurations and those configurations have common dependencies with other configurations that have dependency verification enabled. If the configuration that has dependency verification disabled is resolved first, Gradle does not verify the common dependencies for the configuration that has dependency verification enabled. Gradle 7.4 fixes that issue by validating artifacts at least once if they are present in a resolved configuration that has dependency verification active. For users who cannot update either do not use `ResolutionStrategy.disableDependencyVerification()` and do not use plugins that use that method to disable dependency verification for a single configuration o...

In Bluetooth, there is a possible information disclosure due to incorrect error handling. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS06108487; Issue ID: ALPS06108487.

There is an improper memory access permission configuration on ACPU.Successful exploitation of this vulnerability may cause out-of-bounds access.

Improper access control in the Intel(R) Capital Global Summit Android application may allow an authenticated user to potentially enable information disclosure via local access.

Improper access control in the Intel(R) Smart Campus Android application before version 6.1 may allow authenticated user to potentially enable information disclosure via local access.

Microsoft OneDrive for Android Security Feature Bypass Vulnerability

Microsoft OneDrive for Android Security Feature Bypass Vulnerability.

Server Side Request Forgery (SSRF) vulneraility exists in Gitea before 1.7.0 using the OpenID URL.

**What privileges are required to exploit this vulnerability?** The attacker needs access to an unlocked mobile device to exploit the vulnerability.

Tensorflow is an Open Source Machine Learning Framework. TensorFlow's type inference can cause a heap out of bounds read as the bounds checking is done in a `DCHECK` (which is a no-op during production). An attacker can control the `input_idx` variable such that `ix` would be larger than the number of values in `node_t.args`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.