An exploitable denial-of-service vulnerability exists in the Weave daemon of the Nest Cam IQ Indoor, version 4620002. A set of TCP connections can cause unrestricted resource allocation, resulting in a denial of service. An attacker can connect multiple times to trigger this vulnerability.

In Minikin, there is a possible way to trigger ANR by showing a malicious message due to resource exhaustion. 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-229255400References: N/A

In bta_scan_results_cb_impl of btif_ble_scanner.cc, there is possible resource exhaustion if a large number of repeated BLE scan results are received. This could lead to a remote denial of service of a critical system process with no additional execution privileges needed. User interaction is not needed for exploitation. Product: Android. Versions: 8.0. Android ID: A-65174158.

A parsing issue similar to CVE-2022-3171, but with textformat in protobuf-java core and lite versions prior to 3.21.7, 3.20.3, 3.19.6 and 3.16.3 can lead to a denial of service attack. Inputs containing multiple instances of non-repeated embedded messages with repeated or unknown fields causes objects to be converted back-n-forth between mutable and immutable forms, resulting in potentially long garbage collection pauses. We recommend updating to the versions mentioned above.

Any project that parses untrusted Protocol Buffers data containing an arbitrary number of nested groups / series of SGROUP tags can corrupted by exceeding the stack limit i.e. StackOverflow. Parsing nested groups as unknown fields with DiscardUnknownFieldsParser or Java Protobuf Lite parser, or against Protobuf map fields, creates unbounded recursions that can be abused by an attacker.

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.

Remote prevention of access to cellular service with no user interaction (for example, crashing the cellular radio service with a malformed packet)

A parsing issue similar to CVE-2022-3171, but with Message-Type Extensions in protobuf-java core and lite versions prior to 3.21.7, 3.20.3, 3.19.6 and 3.16.3 can lead to a denial of service attack. Inputs containing multiple instances of non-repeated embedded messages with repeated or unknown fields causes objects to be converted back-n-forth between mutable and immutable forms, resulting in potentially long garbage collection pauses. We recommend updating to the versions mentioned above.

An issue was discovered TensorFlow v2.18.0. A Denial of Service (DoS) occurs when padding is set to 'valid' in tf.keras.layers.Conv2D.

Any git operation is passed through Jetty and a session is created. No expiry is set for the session and Jetty does not automatically dispose of the session. Over multiple git actions, this can lead to a heap memory exhaustion for Gerrit servers. We recommend upgrading Gerrit to any of the versions listed above.

Denial of service

In Message and toBundle of Notification.java, there is a possible UI slowdown or crash due to improper input validation. This could lead to remote denial of service if a malicious contact file is received, with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-8.0 Android-8.1 Android-9Android ID: A-147358092

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 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.

In bindArtworkAndColors of MediaControlPanel.java, there is a possible way to crash the phone due to improper input validation. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-13Android ID: A-239368697

On Samsung Galaxy S4 through S7 devices, a malformed OTA WAP PUSH SMS containing an OMACP message sent remotely triggers an unhandled ArrayIndexOutOfBoundsException in Samsung's implementation of the WifiServiceImpl class within wifi-service.jar. This causes the Android runtime to continually crash, rendering the device unusable until a factory reset is performed, a subset of SVE-2016-6542.

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

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

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.

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.

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 driver, there is a possible system crash 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: Android; Versions: Android-8.1, Android-9, Android-10, Android-11; Patch ID: ALPS05412917.

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.

An exploitable denial-of-service vulnerability exists in the Weave error reporting functionality of the Nest Cam IQ Indoor, version 4620002. A specially crafted weave packets can cause an arbitrary Weave Exchange Session to close, resulting in a denial of service. An attacker can send a specially crafted packet to trigger this vulnerability.

TensorFlow is an open source platform for machine learning. The function `tf.raw_ops.LookupTableImportV2` cannot handle scalars in the `values` parameter and gives an NPE. 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 platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. 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, when the parameter `summarize` of `tf.raw_ops.Print` is zero, the new method `SummarizeArray<bool>` will reference to a nullptr, leading to a seg fault. A fix is included in TensorFlow version 2.12 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. Prior to versions 2.12.0 and 2.11.1, there is a heap buffer overflow in TAvgPoolGrad. 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 have a Floating Point Exception in TensorListSplit with XLA. 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 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. There is out-of-bounds access due to mismatched integer type sizes. A fix is included in TensorFlow version 2.12.0 and version 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 machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, `tf.raw_ops.ParallelConcat` segfaults with a nullptr dereference when given a parameter `shape` with rank that is not greater than zero. A fix is available in TensorFlow 2.12.0 and 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.

An issue was discovered on Samsung mobile devices with N(7.x), O(8.0), and P(9.0) (Qualcomm chipsets) software. The Authnr Trustlet has a NULL pointer dereference. The Samsung ID is SVE-2019-13949 (May 2019).

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).

On affected platforms running Arista CloudEOS an issue in the Software Forwarding Engine (Sfe) can lead to a potential denial of service attack by sending malformed packets to the switch. This causes a leak of packet buffers and if enough malformed packets are received, the switch may eventually stop forwarding traffic.

In RenderStruct of protostream_objectsource.cc, there is a possible 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-11Android ID: A-179161711

An issue was discovered on Samsung mobile devices with N(7.x), O(8.0), and P(9.0) (Qualcomm chipsets) software. The ESECOMM Trustlet has a NULL pointer dereference. The Samsung ID is SVE-2019-13950 (May 2019).

An issue was discovered on Samsung mobile devices with O(8.x) software. Attackers can disable Gallery permanently. The Samsung ID is SVE-2019-14031 (May 2019).

In handleRun of TextLine.java, there is a possible application crash due to improper input validation. This could lead to remote denial of service when processing Unicode with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-8.0 Android-8.1 Android-9 Android-10Android ID: A-140632678

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

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

In LogResponse of Dns.cpp, 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-13Android ID: A-261079188

In Messaging, there is a possible way to disable the messaging application due to improper input validation. This could lead to remote denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.

In on_create_record_event of btif_sdp_server.cc, there is a possible out of bounds read 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-13Android ID: A-263545186

In doInBackground of NotificationContentInflater.java, there is a possible temporary denial or service due to long running operations. This could lead to remote 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-252766417