#ios

Select Dell Client Commercial and Consumer platforms are vulnerable to an insufficient verification of data authenticity vulnerability. An authenticated malicious user may exploit this vulnerability in order to install modified BIOS firmware.

An Authentication Bypass vulnerability exists in Gitea before 1.5.0, which could let a malicious user gain privileges. If captured, the TOTP code for the 2FA can be submitted correctly more than once.

Grafana is an open-source platform for monitoring and observability. Affected versions of Grafana expose multiple API endpoints which do not properly handle user authorization. `/teams/:teamId` will allow an authenticated attacker to view unintended data by querying for the specific team ID, `/teams/:search` will allow an authenticated attacker to search for teams and see the total number of available teams, including for those teams that the user does not have access to, and `/teams/:teamId/members` when editors_can_admin flag is enabled, an authenticated attacker can see unintended data by querying for the specific team ID. Users are advised to upgrade as soon as possible. There are no known workarounds for this issue.

Grafana is an open-source platform for monitoring and observability. Affected versions of Grafana expose multiple API endpoints which do not properly handle user authorization. `/teams/:teamId` will allow an authenticated attacker to view unintended data by querying for the specific team ID, `/teams/:search` will allow an authenticated attacker to search for teams and see the total number of available teams, including for those teams that the user does not have access to, and `/teams/:teamId/members` when editors_can_admin flag is enabled, an authenticated attacker can see unintended data by querying for the specific team ID. Users are advised to upgrade as soon as possible. There are no known workarounds for this issue.

Use After Free in GitHub repository radareorg/radare2 prior to 5.6.0.

**How do I get the update for Microsoft Teams for iOS?** 1. Tap the **Settings** icon 2. Tap the\*\* iTunes & App Store\*\* 3. Turn on AUTOMATIC DOWNLOADS for Apps **Alternatively** 1. Tap the\*\* App Store\*\* icon 2. Scroll down to find Microsoft Teams 3. Tap the **Update** button

NATS nats-server before 2.7.2 has Incorrect Access Control. Any authenticated user can obtain the privileges of the System account by misusing the "dynamically provisioned sandbox accounts" feature.

A use-after-free vulnerability exists in the JavaScript engine of Foxit Software’s PDF Reader, version 11.1.0.52543. A specially-crafted PDF document can trigger the reuse of previously freed memory, which can lead to arbitrary code execution. An attacker needs to trick the user to open the malicious file to trigger this vulnerability. Exploitation is also possible if a user visits a specially-crafted, malicious site if the browser plugin extension is enabled.

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the `DCHECK` function however, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the `ValueOrDie` line. This results in an assertion failure as `ret` contains an error `Status`, not a value. In the second case we also get a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, 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.