Microsoft Internet Explorer 10 and 11 allows remote attackers to execute arbitrary code or cause a denial of service (memory corruption) via a crafted web site, aka "Internet Explorer Memory Corruption Vulnerability."

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.LSTMBlockCell` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code does not validate the ranks of any of the arguments to this API call. This results in `CHECK`-failures when the elements of the tensor are accessed. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.histogram_fixed_width` is vulnerable to a crash when the values array contain `Not a Number` (`NaN`) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If `values` contains `NaN` then the result of the division is still `NaN` and the cast to `int32` would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

NVIDIA’s distribution of the Data Plane Development Kit (MLNX_DPDK) contains a vulnerability in the network stack, where error recovery is not handled properly, which can allow a remote attacker to cause denial of service and some impact to data integrity and confidentiality.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.SparseTensorDenseAdd` does not fully validate the input arguments. In this case, a reference gets bound to a `nullptr` during kernel execution. This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.DeleteSessionTensor` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

NVIDIA libnvomx contains a possible out of bounds write due to a improper input validation which could lead to local escalation of privilege. This issue is rated as high. Product: Android. Version: N/A. Android: A-66969318. Reference: N-CVE-2017-6281.

Denial of service in IIS 4.0 via a flood of HTTP requests with malformed headers.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.TensorSummaryV2` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

ClamAV 0.94.1 and possibly 0.93.1, when Internet Explorer 6 or 7 is used, allows remote attackers to bypass detection of malware in an HTML document by placing an MZ header (aka "EXE info") at the beginning, and modifying the filename to have (1) no extension, (2) a .txt extension, or (3) a .jpg extension, as demonstrated by a document containing a CVE-2006-5745 exploit.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.StagePeek` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `index` is a scalar but there is no validation for this before accessing its value. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling `QuantizeMultiplierSmallerThanOneExp`, the `TFLITE_CHECK_LT` assertion would trigger and abort the process. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

The kernel in Apple OS X before 10.10 allows physically proximate attackers to cause a denial of service (NULL pointer dereference and system crash) via a crafted filename on an HFS filesystem.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.LoadAndRemapMatrix does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `initializing_values` is a vector but there is no validation for this before accessing its value. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the `tf.compat.v1.signal.rfft2d` and `tf.compat.v1.signal.rfft3d` lack input validation and under certain condition can result in crashes (due to `CHECK`-failures). Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

NVIDIA GPU Display Driver contains a vulnerability in the kernel mode layer handler where a value passed from a user to the driver is not correctly validated and used as the index to an array which may lead to a denial of service or possible escalation of privileges.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.UnsortedSegmentJoin` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `num_segments` is a scalar but there is no validation for this before accessing its value. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

An attacker can conduct a denial of service in Windows NT by executing a program with a malformed file image header.

NVIDIA GPU Display Driver for Windows contains a vulnerability in the kernel mode layer (nvlddmkm.sys) handler for DxgkDdiEscape, where the product receives input or data, but does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly, which may lead to denial of service or data tampering.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.ragged.constant` does not fully validate the input arguments. This results in a denial of service by consuming all available memory. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.GetSessionTensor` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.UnsortedSegmentJoin` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `num_segments` is a positive scalar but there is no validation. Since this value is used to allocate the output tensor, a negative value would result in a `CHECK`-failure (assertion failure), as per TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Improper validation of removing package name in Galaxy Themes prior to SMR May-2022 Release 1 allows attackers to uninstall arbitrary packages without permission. The patch adds proper validation logic for removing package name.

Improper input validation in DSP driver prior to SMR Apr-2022 Release 1 allows out-of-bounds write by integer overflow.

NVIDIA Windows GPU Display Driver contains a vulnerability in the kernel mode layer (nvlddmkm.sys) handler for DxgkDdiEscape where an improper input parameter handling may lead to a denial of service or potential escalation of privileges.

Improper validation vulnerability in SemBlurInfo prior to SMR Apr-2022 Release 1 allows attackers to launch certain activities.

Secure Boot Security Feature Bypass Vulnerability

Improper boundary check in UWB firmware prior to SMR Apr-2022 Release 1 allows arbitrary memory write.

Improper validation vulnerability in SemSuspendDialogInfo prior to SMR Apr-2022 Release 1 allows attackers to launch certain activities.

Malicious sites can display a spoofed location bar on a subsequently loaded page when the existing location bar on the new page is scrolled out of view if navigations between pages can be timed correctly. Note: This issue only affects Firefox for Android. Other operating systems are not affected. This vulnerability affects Firefox < 51.

Improper input validation in Windows DWM Core Library allows an authorized attacker to elevate privileges locally.

Improper input validation in Microsoft Exchange Server allows an authorized attacker to perform tampering over a network.

Improper input validation vulnerability in parser_iloc and sheifd_find_itemIndexin fuctions of libsimba library prior to SMR Apr-2022 Release 1 allows out of bounds write by privileged attacker.

Inappropriate implementation of unload handler handling in permission prompts in Google Chrome prior to 60.0.3112.78 for Linux, Windows, and Mac allowed a remote attacker to display UI on a non attacker controlled tab via a crafted HTML page.

Improper validation vulnerability in MediaMonitorEvent prior to SMR Apr-2022 Release 1 allows attackers to launch certain activities.

Insufficient validation in the IOCTL input/output buffer in AMD μProf may allow an attacker to bypass bounds checks potentially leading to a Windows kernel crash resulting in denial of service.

Improper validation vulnerability in MediaMonitorDimension prior to SMR Apr-2022 Release 1 allows attackers to launch certain activities.

Inappropriate implementation in interstitials in Google Chrome prior to 60.0.3112.78 for Mac allowed a remote attacker to spoof the contents of the omnibox via a crafted HTML page.

Improper input validation in Windows DWM Core Library allows an authorized attacker to elevate privileges locally.

An input validation issue was addressed by removing the vulnerable code. This issue is fixed in macOS Sequoia 15.5, macOS Sonoma 14.7.6, macOS Ventura 13.7.6. A malicious app may be able to gain root privileges.

Insufficient Policy Enforcement in Omnibox in Google Chrome prior to 59.0.3071.115 for Mac allowed a remote attacker to perform domain spoofing via a crafted domain name containing a U+0620 character, aka Apple rdar problem 32458012.

Lack of an appropriate action on page navigation in Blink in Google Chrome prior to 58.0.3029.81 for Windows and Mac allowed a remote attacker to potentially confuse a user into making an incorrect security decision via a crafted HTML page.

Insufficient Policy Enforcement in Omnibox in Google Chrome prior to 60.0.3112.78 for Mac, Windows, Linux, and Android allowed a remote attacker to perform domain spoofing via IDN homographs in a crafted domain name.

Inappropriate implementation in Omnibox in Google Chrome prior to 59.0.3071.92 for Android allowed a remote attacker to perform domain spoofing with RTL characters via a crafted URL page.

Improper input validation in Windows DWM Core Library allows an authorized attacker to elevate privileges locally.

Insufficient Policy Enforcement in Omnibox in Google Chrome prior to 59.0.3071.86 for Mac, Windows, and Linux, and 59.0.3071.92 for Android, allowed a remote attacker to perform domain spoofing via IDN homographs in a crafted domain name.

CA eTrust Antivirus 31.6.6086, when Internet Explorer 6 or 7 is used, allows remote attackers to bypass detection of malware in an HTML document by placing an MZ header (aka "EXE info") at the beginning, and modifying the filename to have (1) no extension, (2) a .txt extension, or (3) a .jpg extension, as demonstrated by a document containing a CVE-2006-5745 exploit.

Inappropriate implementation in Blink in Google Chrome prior to 59.0.3071.86 for Mac, Windows, and Linux, and 59.0.3071.92 for Android, allowed a remote attacker to display UI on a non attacker controlled tab via a crafted HTML page.

Insufficient validation of untrusted input in Skia in Google Chrome prior to 60.0.3112.78 for Linux allowed a remote attacker to perform an out of bounds memory read via a crafted HTML page.