#ios

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.

Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. 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.

Argo CD before 2.1.9 and 2.2.x before 2.2.4 allows directory traversal related to Helm charts because of an error in helmTemplate in repository.go. For example, an attacker may be able to discover credentials stored in a YAML file.

The config restore function of Voipmonitor GUI before v24.96 does not properly check files sent as restore archives, allowing remote attackers to execute arbitrary commands via a crafted file in the web root.

Micro-Star International (MSI) Dragon Center <= 2.0.116.0 is vulnerable to multiple Privilege Escalation (LPE/EoP) vulnerabilities in the atidgllk.sys, atillk64.sys, MODAPI.sys, NTIOLib.sys, NTIOLib_X64.sys, WinRing0.sys, WinRing0x64.sys drivers components. All the vulnerabilities are triggered by sending specific IOCTL requests.

Micro-Star International (MSI) Center <= 1.0.31.0 is vulnerable to multiple Privilege Escalation vulnerabilities in the atidgllk.sys, atillk64.sys, MODAPI.sys, NTIOLib.sys, NTIOLib_X64.sys, WinRing0.sys, WinRing0x64.sys drivers components. All the vulnerabilities are triggered by sending specific IOCTL requests.

An update for the virt:av and virt-devel:av modules is now available for Red Hat Enterprise Linux Advanced Virtualization 8.5. Red Hat Product Security has rated this update as having a security impact of Low. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available for each vulnerability from the CVE link(s) in the References section.This content is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). If you distribute this content, or a modified version of it, you must provide attribution to Red Hat Inc. and provide a link to the original. Related CVEs: * CVE-2021-3716: nbdkit: NBD_OPT_STRUCTURED_REPLY injection on STARTTLS * CVE-2021-20196: QEMU: block: fdc: null pointer dereference may lead to guest crash

Reflected Cross-site scripting (XSS) vulnerability in RosarioSIS 8.2.1 allows attackers to inject arbitrary HTML via the search_term parameter in the modules/Scheduling/Courses.php script.