An issue was discovered on Samsung mobile devices with P(9.0) (Exynos chipsets) software. The MALI GPU Driver allows a kernel panic. The Samsung ID is SVE-2019-14372 (August 2019).

Tensorflow is an Open Source Machine Learning Framework. The `GraphDef` format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a `GraphDef` containing a fragment such as the following can be consumed when loading a `SavedModel`. This would result in a stack overflow during execution as resolving each `NodeDef` means resolving the function itself and its nodes. 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 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.

Lack of error handling in the TCP server in Google's gRPC starting version 1.23 on posix-compatible platforms (ex. Linux) allows an attacker to cause a denial of service by initiating a significant number of connections with the server. Note that gRPC C++ Python, and Ruby are affected, but gRPC Java, and Go are NOT affected. 

Product: AndroidVersions: Android kernelAndroid ID: A-210916981References: N/A

In hostapd, there is a possible insecure configuration due to an insecure default value. This could lead to remote denial of service of the wifi hotspot with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-13Android ID: A-197874458

A parsing vulnerability for the MessageSet type in the ProtocolBuffers versions prior to and including 3.16.1, 3.17.3, 3.18.2, 3.19.4, 3.20.1 and 3.21.5 for protobuf-cpp, and versions prior to and including 3.16.1, 3.17.3, 3.18.2, 3.19.4, 3.20.1 and 4.21.5 for protobuf-python can lead to out of memory failures. A specially crafted message with multiple key-value per elements creates parsing issues, and can lead to a Denial of Service against services receiving unsanitized input. We recommend upgrading to versions 3.18.3, 3.19.5, 3.20.2, 3.21.6 for protobuf-cpp and 3.18.3, 3.19.5, 3.20.2, 4.21.6 for protobuf-python. Versions for 3.16 and 3.17 are no longer updated.

Product: AndroidVersions: Android kernelAndroid ID: A-210594998References: N/A

Product: AndroidVersions: Android kernelAndroid ID: A-210936609References: N/A

Use after free in Ozone in Google Chrome prior to 101.0.4951.41 allowed a remote attacker to potentially exploit heap corruption via running a Wayland test.

An issue was discovered on Samsung mobile devices with Q(10.0) and R(11.0) (Qualcomm SM8250 chipsets) software. They allows attackers to cause a denial of service (unlock failure) by triggering a power-shortage incident that causes a false-positive attack detection. The Samsung ID is SVE-2020-19678 (December 2020).

An issue was discovered on Samsung mobile devices with KK(4.4), L(5.0/5.1), and M(6.0) software. android.intent.action.SIOP_LEVEL_CHANGED allows a serializable intent reboot. The Samsung ID is SVE-2017-8363 (May 2017).

An issue was discovered on Samsung mobile devices with N(7.0) software. The time service (aka Timaservice) allows a kernel panic. The Samsung ID is SVE-2017-8593 (May 2017).

An issue was discovered on Samsung mobile devices with KK(4.4), L(5.0/5.1), and M(6.0) software. The InputMethod application can cause a system crash via a malformed serializable object in an Intent. The Samsung ID is SVE-2016-7123 (February 2017).

Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.

An issue was discovered on Samsung mobile devices with KK(4.4), L(5.0/5.1), M(6.0), and N(7.0) software. Because of incorrect exception handling and an unprotected intent, AudioService can cause a system crash, The Samsung IDs are SVE-2017-8114, SVE-2017-8116, and SVE-2017-8117 (March 2017).

Tensorflow is an Open Source Machine Learning Framework. A `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering a `StatusOr` value that is an error and forcibly extracting the value from it. We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.

An issue was discovered on Samsung mobile devices with M(6.0) software. SLocation can cause a system crash via a call to an API that is not implemented. The Samsung ID is SVE-2017-8285 (April 2017).

An issue was discovered on Samsung mobile devices with M(6.0) and N(7.x) (Exynos7420 or Exynox8890 chipsets) software. The Camera application can leak uninitialized memory via ion. The Samsung ID is SVE-2016-6989 (April 2017).

An issue was discovered on Samsung mobile devices with N(7.x) software. There is a WifiStateMachine IllegalArgumentException and reboot if a malformed wpa_supplicant.conf is read. The Samsung ID is SVE-2017-9828 (October 2017).

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).

An issue was discovered on LG mobile devices with Android OS 9.0 and 10 software. The Wi-Fi subsystem has incorrect input validation, leading to a crash. The LG ID is LVE-SMP-200022 (October 2020).

In WIFI Firmware, there is a possible system crash due to a missing count check. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS06468894; Issue ID: ALPS06468894.

An issue was discovered on Samsung mobile devices with N(7.x) software. Because of missing Intent exception handling, system_server can have a NullPointerException with a crash of a system process. The Samsung IDs are SVE-2017-9122, SVE-2017-9123, SVE-2017-9124, and SVE-2017-9126 (July 2017).

In TensorFlow release candidate versions 2.4.0rc*, the general implementation for matching filesystem paths to globbing pattern is vulnerable to an access out of bounds of the array holding the directories. There are multiple invariants and preconditions that are assumed by the parallel implementation of GetMatchingPaths but are not verified by the PRs introducing it (#40861 and #44310). Thus, we are completely rewriting the implementation to fully specify and validate these. This is patched in version 2.4.0. This issue only impacts master branch and the release candidates for TF version 2.4. The final release of the 2.4 release will be patched.

An issue was discovered on Samsung mobile devices with KK(4.4), L(5.0/5.1), M(6.0), and N(7.x) software. An attacker can crash system processes via a Serializable object because of missing exception handling. The Samsung IDs are SVE-2017-8109, SVE-2017-8110, SVE-2017-8115, SVE-2017-8118, and SVE-2017-8119 (April 2017).

An issue was discovered on Samsung mobile devices with L(5.0/5.1), M(6.0), and N(7.x) software. Intents related to Wi-Fi have incorrect exception handling, leading to a crash of system processes. The Samsung ID is SVE-2017-8389 (May 2017).

An issue was discovered on LG mobile devices with Android OS 7.2, 8.0, 8.1, 9, and 10 software. A service crash may occur because of incorrect input validation. The LG ID is LVE-SMP-200013 (July 2020).

An issue was discovered on LG mobile devices with Android OS 7.2, 8.0, 8.1, 9, and 10 software. An application crash can occur because of incorrect application-level input validation. The LG ID is LVE-SMP-200018 (July 2020).

In LteRrcNrProAsnDecode of LteRrcNr_Codec.c, there is a possible out of bounds read due to a missing bounds 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 kernelAndroid ID: A-180956894References: N/A

A drm driver have oob problem, could cause the system crash or EOPProduct: AndroidVersions: Android SoCAndroid ID: A-233124709

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.

In Tensorflow before version 2.4.0, an attacker can pass an invalid `axis` value to `tf.quantization.quantize_and_dequantize`. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array. Since in normal builds, `DCHECK`-like macros are no-ops, this results in segfault and access out of bounds of the array. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

An issue was discovered in the flatbuffers crate through 2020-04-11 for Rust. read_scalar (and read_scalar_at) can transmute values without unsafe blocks.

In ElementaryStreamQueue::dequeueAccessUnitMPEG4Video of ESQueue.cpp, there is a possible infinite loop leading to resource exhaustion due to an incorrect bounds check. This could lead to remote denial of service with no additional execution privileges needed. User interaction is needed for exploitation.

In Bluetooth, there is a possible crash due to an integer overflow. This could lead to remote denial of service on incoming calls with no additional execution privileges needed. User interaction is not needed for exploitation. Product: AndroidVersions: Android-10Android ID: A-79431031

TensorFlow is an end-to-end open source platform for machine learning. `array_ops.upper_bound` causes a segfault when not given a rank 2 tensor. The fix will be included in TensorFlow 2.13 and will also cherrypick this commit on TensorFlow 2.12.

Improper access control for some Intel Unison software may allow an unauthenticated user to potentially enable denial of service via network access.

gRPC contains a vulnerability that allows hpack table accounting errors could lead to unwanted disconnects between clients and servers in exceptional cases/ Three vectors were found that allow the following DOS attacks: - Unbounded memory buffering in the HPACK parser - Unbounded CPU consumption in the HPACK parser The unbounded CPU consumption is down to a copy that occurred per-input-block in the parser, and because that could be unbounded due to the memory copy bug we end up with an O(n^2) parsing loop, with n selected by the client. The unbounded memory buffering bugs: - The header size limit check was behind the string reading code, so we needed to first buffer up to a 4 gigabyte string before rejecting it as longer than 8 or 16kb. - HPACK varints have an encoding quirk whereby an infinite number of 0’s can be added at the start of an integer. gRPC’s hpack parser needed to read all of them before concluding a parse. - gRPC’s metadata overflow check was performed per frame, so that the following sequence of frames could cause infinite buffering: HEADERS: containing a: 1 CONTINUATION: containing a: 2 CONTINUATION: containing a: 3 etc…

In Modem IMS Call UA, there is a possible out of bounds write due to a missing bounds check. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: MOLY01161825; Issue ID: MOLY01161825 (MSV-895).

In wlan firmware, there is a possible firmware assertion due to improper input handling. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07932637; Issue ID: ALPS07932637.

TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit on TensorFlow 2.11.1.

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the parameter `indices` for `DynamicStitch` does not match the shape of the parameter `data`, it can trigger an stack OOB read. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, there is a floating point exception in AudioSpectrogram. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, `tf.raw_ops.Bincount` segfaults when given a parameter `weights` that is neither the same shape as parameter `arr` nor a length-0 tensor. A fix is included in TensorFlow 2.12.0 and 2.11.1.

TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 are vulnerable to integer overflow in EditDistance. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, an out of bounds read is in GRUBlockCellGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1.