In openFileAndEnforcePathPermissionsHelper of MediaProvider.java, there is a possible bypass of a permissions check due to a confused deputy. This could lead to local escalation of privilege with User execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10Android ID: A-200682135

tcpreplay 4.3.4 has a Reachable Assertion in add_tree_ipv4() at tree.c.

tcpreplay 4.3.4 has a Reachable Assertion in add_tree_ipv6() at tree.c

Possible assertion due to improper size validation while processing the DownlinkPreemption IE in an RRC Reconfiguration/RRC Setup message in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Industrial IOT, Snapdragon Mobile

Improper restriction of XML external entity for Intel(R) Quartus(R) Prime Pro Edition before version 21.3 may allow an authenticated user to potentially enable escalation of privilege via local access.

Improper restriction of XML external entity reference in DSP Builder Pro for Intel(R) Quartus(R) Prime Pro Edition before version 21.3 may allow an unauthenticated user to potentially enable information disclosure via network access.

In Ifme, versions 1.0.0 to v.7.33.2 don’t properly invalidate a user’s session even after the user initiated logout. It makes it possible for an attacker to reuse the admin cookies either via local/network access or by other hypothetical attacks.

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that Grappler optimizer would attempt to build a tensor using a reference `dtype`. This would result in a crash due to a `CHECK`-fail in the `Tensor` constructor as reference types are not allowed. 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.

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that assertions in `function.cc` would be falsified and crash the Python interpreter. 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.

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that any binary op would trigger `CHECK` failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the `dtype` no longer matches the `dtype` expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved. If `Tin` and `Tout` don't match the type of data in `out` and `input_*` tensors then `flat<*>` would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a `CHECK` crash, hence a denial of service. 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.