effects/SkDashPathEffect.cpp in Skia, as used in Google Chrome before 39.0.2171.65, computes a hash key using uninitialized integer values, which might allow remote attackers to cause a denial of service by rendering crafted data.

The MPEG4Extractor::parse3GPPMetaData function in MPEG4Extractor.cpp in libstagefright in Android before 5.1.1 LMY48I does not enforce a minimum size for UTF-16 strings containing a Byte Order Mark (BOM), which allows remote attackers to cause a denial of service (integer underflow, buffer over-read, and mediaserver process crash) via crafted 3GPP metadata, aka internal bug 20923261, a related issue to CVE-2015-3828.

Multiple integer overflows in the addVorbisCodecInfo function in matroska/MatroskaExtractor.cpp in libstagefright in mediaserver in Android before 5.1.1 LMY48M allow remote attackers to cause a denial of service (device inoperability) via crafted Matroska data, aka internal bug 21296336.

mediaserver in Android before 5.1.1 LMY48T allows attackers to cause a denial of service (process crash) via unspecified vectors, aka internal bug 22954006.

PDFium, as used in Google Chrome before 41.0.2272.76, allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Integer overflow in soundtrigger/ISoundTriggerHwService.cpp in Android allows attacks to cause a denial of service via unspecified vectors.

The Google Email application 4.2.2.0200 for Android allows remote attackers to cause a denial of service (persistent application crash) via a "Content-Disposition: ;" header in an e-mail message.

OpenJPEG before r2944, as used in PDFium in Google Chrome before 40.0.2214.91, allows remote attackers to cause a denial of service (out-of-bounds read) via a crafted PDF document, related to j2k.c, jp2.c, pi.c, t1.c, t2.c, and tcd.c.

OpenJPEG before r2908, as used in PDFium in Google Chrome before 40.0.2214.91, allows remote attackers to cause a denial of service (out-of-bounds read) via a crafted PDF document, related to j2k.c, jp2.c, and t2.c.

Use-after-free vulnerability in the IndexedDB implementation in Google Chrome before 40.0.2214.91 allows remote attackers to cause a denial of service or possibly have unspecified other impact by triggering duplicate BLOB references, related to content/browser/indexed_db/indexed_db_callbacks.cc and content/browser/indexed_db/indexed_db_dispatcher_host.cc.

Skia, as used in Google Chrome before 40.0.2214.91, allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

The PDF functionality in Google Chrome before 20.0.1132.43 allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

Improper input validation check logic vulnerability in libsmkvextractor prior to SMR Jun-2022 Release 1 allows attackers to trigger crash.

A lack of replay attack protection in GUTI REALLOCATION COMMAND message process in Qualcomm modem prior to SMR Oct-2021 Release 1 can lead to remote denial of service on mobile network connection.

parser.c in libxml2 before 2.9.0, as used in Google Chrome before 28.0.1500.71 and other products, allows remote attackers to cause a denial of service (out-of-bounds read) via a document that ends abruptly, related to the lack of certain checks for the XML_PARSER_EOF state.

Google V8, as used in Google Chrome before 27.0.1453.93, allows remote attackers to cause a denial of service (out-of-bounds read) via unspecified vectors.

In btif_in_hf_client_generic_evt of btif_hf_client.cc, there is a possible Bluetooth service crash due to a missing null check. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12Android ID: A-180420059

Google Chrome before 17.0.963.46 allows remote attackers to cause a denial of service (application crash) via vectors that trigger a large amount of database usage.

In wlan, there is a possible use after free due to an incorrect status check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07299425; Issue ID: ALPS07299425.

In asf extractor, there is a possible out of bounds read due to an incorrect bounds check. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS05489195; Issue ID: ALPS05489220.

In ngmm, there is a possible undefined behavior due to incorrect error handling. This could lead to remote denial of service with no additional execution privileges needed

In TensorFlow before 1.15.2 and 2.0.1, converting a string (from Python) to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode. This issue can lead to denial of service in inference/training where a malicious attacker can send a data point which contains a string instead of a tf.float16 value. Similar effects can be obtained by manipulating saved models and checkpoints whereby replacing a scalar tf.float16 value with a scalar string will trigger this issue due to automatic conversions. This can be easily reproduced by tf.constant("hello", tf.float16), if eager execution is enabled. This issue is patched in TensorFlow 1.15.1 and 2.0.1 with this vulnerability patched. TensorFlow 2.1.0 was released after we fixed the issue, thus it is not affected. Users are encouraged to switch to TensorFlow 1.15.1, 2.0.1 or 2.1.0.

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. The implementation of `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. 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.

An issue was discovered on Samsung mobile devices with M(6.0) and N(7.x) software. There is an arbitrary write in a trustlet. The Samsung ID is SVE-2017-8893 (August 2017).

In multiple functions of many files, there is a possible obstruction of the user's ability to select a phone account due to resource exhaustion. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12 Android-12L Android-13Android ID: A-236263294

An issue was discovered on Samsung mobile devices with Q(10.0) (Galaxy S20) software. Because HAL improperly checks versions, bootloading by the S.LSI NFC chipset is mishandled. The Samsung ID is SVE-2020-16169 (August 2020).

In sysmmu_map of sysmmu.c, there is a possible EoP due to a precondition check failure. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-238785915References: N/A

In transportDec_OutOfBandConfig of tpdec_lib.cpp, there is a possible out of bounds write due to a heap buffer overflow. This could lead to remote code execution with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12 Android-12LAndroid ID: A-224314979

In loadAnimation of WindowContainer.java, there is a possible way to keep displaying a malicious app while a target app is brought to the foreground. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-10 Android-8.1 Android-9Android ID: A-145728687

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `Shard` API in TensorFlow expects the last argument to be a function taking two `int64` (i.e., `long long`) arguments. However, there are several places in TensorFlow where a lambda taking `int` or `int32` arguments is being used. In these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside of heap allocated arrays, stack overflows, or data corruption. The issue is patched in commits 27b417360cbd671ef55915e4bb6bb06af8b8a832 and ca8c013b5e97b1373b3bb1c97ea655e69f31a575, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Insufficient policy enforcement in storage in Google Chrome prior to 80.0.3987.87 allowed a remote attacker to bypass site isolation via a crafted HTML page.

In DA, there is a possible permission bypass due to an incorrect status check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS08355514; Issue ID: ALPS08355514.

In ShortcutInfo of ShortcutInfo.java, there is a possible way for an app to retain notification listening access due to an uncaught exception. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In onAccessPointChanged of AccessPointPreference.java, there is a possible way for unprivileged apps to receive a broadcast about WiFi access point change and its BSSID or SSID due to a precondition check failure. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.

Failure to check error conditions in V8 in Google Chrome prior to 72.0.3626.81 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.

Uncaught exception for some Intel Unison software may allow an authenticated user to potentially enable denial of service via network access.

In several methods of JobStore.java, uncaught exceptions in job map parsing could lead to local persistent denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-11 Android-12 Android-12L Android-13Android ID: A-246541702

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.QuantizeAndDequantizeV4Grad`. This is because the implementation does not validate the rank of the `input_*` tensors. In turn, this results in the tensors being passes as they are to `QuantizeAndDequantizePerChannelGradientImpl`. However, the `vec<T>` method, requires the rank to 1 and triggers a `CHECK` failure otherwise. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 as this is the only other affected version.

In __efi_rt_asm_wrapper of efi-rt-wrapper.S, there is a possible bypass of shadow stack protection due to a logic error in the code. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-260821414References: Upstream kernel

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a `CHECK` fail in PNG encoding by providing an empty input tensor as the pixel data. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/kernels/image/encode_png_op.cc#L57-L60) only validates that the total number of pixels in the image does not overflow. Thus, an attacker can send an empty matrix for encoding. However, if the tensor is empty, then the associated buffer is `nullptr`. Hence, when calling `png::WriteImageToBuffer`(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/kernels/image/encode_png_op.cc#L79-L93), the first argument (i.e., `image.flat<T>().data()`) is `NULL`. This then triggers the `CHECK_NOTNULL` in the first line of `png::WriteImageToBuffer`(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/lib/png/png_io.cc#L345-L349). Since `image` is null, this results in `abort` being called after printing the stacktrace. Effectively, this allows an attacker to mount a denial of service attack. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseAdd` results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_sparse_binary_op_shared.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of `*_indices` matches the size of corresponding `*_shape`. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

An improper error handling in Exynos CP booting driver prior to SMR Oct-2021 Release 1 allows local attackers to bypass a Secure Memory Protector of Exynos CP Memory.

Improper check for exception conditions in Knox Guard prior to SMR Oct-2024 Release 1 allows physical attackers to bypass Knox Guard in a multi-user environment.

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK` failure by passing an empty image to `tf.raw_ops.DrawBoundingBoxes`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/ea34a18dc3f5c8d80a40ccca1404f343b5d55f91/tensorflow/core/kernels/image/draw_bounding_box_op.cc#L148-L165) uses `CHECK_*` assertions instead of `OP_REQUIRES` to validate user controlled inputs. Whereas `OP_REQUIRES` allows returning an error condition back to the user, the `CHECK_*` macros result in a crash if the condition is false, similar to `assert`. In this case, `height` is 0 from the `images` input. This results in `max_box_row_clamp` being negative and the assertion being falsified, followed by aborting program execution. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

In pq, there is a possible write-what-where condition due to an incorrect bounds check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS08495937; Issue ID: ALPS08495937.

In wlan, there is a possible denial of service due to incorrect error handling. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS08861558; Issue ID: MSV-1526.

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.SparseConcat`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/b432a38fe0e1b4b904a6c222cbce794c39703e87/tensorflow/core/kernels/sparse_concat_op.cc#L76) takes the values specified in `shapes[0]` as dimensions for the output shape. The `TensorShape` constructor(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L183-L188) uses a `CHECK` operation which triggers when `InitDims`(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L212-L296) returns a non-OK status. This is a legacy implementation of the constructor and operations should use `BuildTensorShapeBase` or `AddDimWithStatus` to prevent `CHECK`-failures in the presence of overflows. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Improper Handling of Exceptional Conditions, Improper Check for Unusual or Exceptional Conditions vulnerability in the ABB SPIET800 and PNI800 module that allows an attacker to cause the denial of service or make the module unresponsive.

lettersanitizer is a DOM-based HTML email sanitizer for in-browser email rendering. All versions of lettersanitizer below 1.0.2 are affected by a denial of service issue when processing a CSS at-rule `@keyframes`. This package is depended on by [react-letter](https://github.com/mat-sz/react-letter), therefore everyone using react-letter is also at risk. The problem has been patched in version 1.0.2.