In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.

Integer overflow in Adobe Flash Player before 10.3.183.75 and 11.x before 11.7.700.169 on Windows and Mac OS X, before 10.3.183.75 and 11.x before 11.2.202.280 on Linux, before 11.1.111.50 on Android 2.x and 3.x, and before 11.1.115.54 on Android 4.x; Adobe AIR before 3.7.0.1530; and Adobe AIR SDK & Compiler before 3.7.0.1530 allows remote attackers to execute arbitrary code via unspecified vectors, as demonstrated by VUPEN during a Pwn2Own competition at CanSecWest 2013.

In filterMask of SkEmbossMaskFilter.cpp, there is a possible out of bounds write due to an integer overflow. This could lead to remote code execution with no additional execution privileges needed. User interaction is not needed for exploitation.

In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.

In wlan driver, there is a possible missing bounds check. This could lead to local denial of service in wlan services.

In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.

In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.

In wlan driver, there is a possible missing bounds check, This could lead to local denial of service in wlan services.

An issue was discovered on Samsung mobile devices with M(6.x) and N(7.x) software. There is an Integer Overflow in process_M_SetTokenTUIPasswd during handling of a trusted application, leading to memory corruption. The Samsung IDs are SVE-2017-9008 and SVE-2017-9009 (October 2017).

In sensor driver, there is a possible out of bounds write due to a missing bounds check. This could lead to local denial of service in kernel.

Integer overflow vulnerability in Samsung decoding library for video thumbnails prior to SMR Dec-2022 Release 1 allows local attacker to perform Out-Of-Bounds Write.

In all Qualcomm products with Android releases from CAF using the Linux kernel, multiple values received from firmware are not properly validated in wma_get_ll_stats_ext_buf() and are used to allocate the sizes of buffers and may be vulnerable to integer overflow leading to buffer overflow.

In wma_peer_info_event_handler() in Android for MSM, Firefox OS for MSM, and QRD Android before 2017-10-03, the value of num_peers received from firmware is not properly validated so that an integer overflow vulnerability in the size of a buffer allocation may potentially lead to a buffer overflow.

In all Qualcomm products with Android releases from CAF using the Linux kernel, the num_failure_info value from firmware is not properly validated in wma_rx_aggr_failure_event_handler() so that an integer overflow vulnerability in a buffer size calculation may potentially lead to a buffer overflow.

In wma_ndp_end_response_event_handler(), the variable len_end_rsp is a uint32 which can be overflowed if the value of variable "event->num_ndp_end_rsp_per_ndi_list" is very large which can then lead to a heap overwrite of the heap object end_rsp in all Android releases from CAF (Android for MSM, Firefox OS for MSM, QRD Android) using the Linux Kernel.

In wlan driver, there is a possible missing params check. This could lead to local denial of service in wlan services.

Integer overflow in libSEF.quram.so prior to SMR Oct-2024 Release 1 allows local attackers to write out-of-bounds memory.

In attributeBytesBase64 and attributeBytesHex of BinaryXmlSerializer.java, there is a possible arbitrary XML injection due to an integer overflow. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In wlan driver, there is a possible missing params check. This could lead to local denial of service in wlan services.

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, integer overflow occurs when `2^31 <= num_frames * height * width * channels < 2^32`, for example Full HD screencast of at least 346 frames. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

The value of fix_param->num_chans is received from firmware and if it is too large, an integer overflow can occur in wma_radio_chan_stats_event_handler() for the derived length len leading to a subsequent buffer overflow in all Android releases from CAF (Android for MSM, Firefox OS for MSM, QRD Android) using the Linux Kernel.

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, in the function wma_ndp_end_indication_event_handler(), there is no input validation check on a event_info value coming from firmware, which can cause an integer overflow and then leads to potential heap overwrite.

In Qualcomm Android for MSM, Firefox OS for MSM, and QRD Android with all Android releases from CAF using the Linux kernel before security patch level 2018-04-05, if the firmware sends a service ready event to the host with a large number in the num_hw_modes or num_phy, then it could result in an integer overflow which may potentially lead to a buffer overflow.

In all android releases (Android for MSM, Firefox OS for MSM, QRD Android) from CAF using the linux kernel, while loading a user application in qseecom, an integer overflow could potentially occur if the application partition size is rounded up to page_size.

Multiple integer overflows in the PDF codecs in Google Chrome before 17.0.963.56 allow remote attackers to cause a denial of service or possibly have unspecified other impact via unknown vectors.

In all Qualcomm products with Android releases from CAF using the Linux kernel, in wma_unified_link_radio_stats_event_handler(), the number of radio channels coming from firmware is not properly validated, potentially leading to an integer overflow vulnerability followed by a buffer overflow.

In all android releases (Android for MSM, Firefox OS for MSM, QRD Android) from CAF using the linux kernel, while accessing the keystore in LK, an integer overflow vulnerability exists which may potentially lead to a buffer overflow.

In CalculateInstanceSizeForDerivedClass of objects.cc, there is possible memory corruption due to an integer overflow. This could lead to remote code execution in the proxy auto-config with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android Versions: Android-7.0 Android-7.1.1 Android-7.1.2 Android-8.0 Android-8.1 Android-9 Android ID: A-117556220

Integer overflow in USB in Google Chrome prior to 119.0.6045.105 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

Integer overflow in Skia in Google Chrome prior to 119.0.6045.199 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a malicious file. (Chromium security severity: High)

In Android for MSM, Firefox OS for MSM, QRD Android, with all Android releases from CAF using the Linux kernel, in the processing of messages of type eWNI_SME_MODIFY_ADDITIONAL_IES, an integer overflow leading to heap buffer overflow may potentially occur.

Integer overflow in international date handling in International Components for Unicode (ICU) for C/C++ before 60.1, as used in V8 in Google Chrome prior to 63.0.3239.84 and other products, allowed a remote attacker to perform an out of bounds memory read via a crafted HTML page.

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.SpaceToBatchND` (in all backends such as XLA and handwritten kernels) is vulnerable to an integer overflow: The result of this integer overflow is used to allocate the output tensor, hence we get a denial of service via a `CHECK`-failure (assertion failure), as in TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Integer overflow in Window Manager in Google Chrome on Chrome OS and Lacros prior to 104.0.5112.79 allowed a remote attacker who convinced a user to engage in specific UI interactions to perform an out of bounds memory write via crafted UI interactions. (Chrome security severity: High)

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

In vow, there is a possible out of bounds read due to an integer overflow. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07032634; Issue ID: ALPS07032634.

In teei, there is a possible memory corruption due to an integer overflow. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS06664701; Issue ID: ALPS06664701.

In audio ipi, there is a possible out of bounds write due to an integer overflow. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS06558777; Issue ID: ALPS06558777.

Integer overflow in Google Chrome before 25.0.1364.97 on Windows and Linux, and before 25.0.1364.99 on Mac OS X, allows remote attackers to cause a denial of service or possibly have unspecified other impact via a blob.

Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateTensorSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements. 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. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. 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 implementation of `AddManySparseToTensorsMap` is vulnerable to an integer overflow which results in a `CHECK`-fail when building new `TensorShape` objects (so, an assert failure based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. 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. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version.

Tensorflow is an Open Source Machine Learning Framework. The implementation of `Range` suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. 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 implementations of `Sparse*Cwise*` ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or `CHECK`-fails when building new `TensorShape` objects (so, assert failures based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. 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 implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. 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. 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.

In HeifDataSource::readAt of HeifDecoderImpl.cpp, there is a possible out of bounds read due to an integer overflow. This could lead to remote information disclosure with no additional execution privileges needed. User interaction is needed for exploitation.

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. 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.

In ion, there is a possible use after free due to an integer overflow. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS06371108; Issue ID: ALPS06371108.