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.

An issue was discovered on Samsung mobile devices with KK(4.4), L(5.0/5.1), and M(6.0) software. AntService allows a system_server crash and reboot. The Samsung ID is SVE-2016-7044 (November 2016).

The Linux kernel, versions 3.9+, is vulnerable to a denial of service attack with low rates of specially modified packets targeting IP fragment re-assembly. An attacker may cause a denial of service condition by sending specially crafted IP fragments. Various vulnerabilities in IP fragmentation have been discovered and fixed over the years. The current vulnerability (CVE-2018-5391) became exploitable in the Linux kernel with the increase of the IP fragment reassembly queue size.

.NET Framework Denial of Service Vulnerability

A denial-of-service issue was addressed with improved input validation. This issue is fixed in macOS Ventura 13.7.7, iPadOS 17.7.9, iOS 18.6 and iPadOS 18.6, macOS Sonoma 14.7.7, watchOS 11.6, macOS Sequoia 15.6, tvOS 18.6, visionOS 2.6. A non-privileged user may be able to modify restricted network settings.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 10.5, 11.1, and 11.5 is vulnerable to denial of service with a specially crafted query. IBM X-Force ID: 266166.

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.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 11.5 federated server is vulnerable to a denial of service when a specially crafted cursor is used. IBM X-Force ID: 268759.

IBM DB2 for Linux, UNIX and Windows (includes Db2 Connect Server) 10.5, 11.1, and 11.5 is vulnerable to denial of service with a specially crafted RUNSTATS command on an 8TB table. IBM X-Force ID: 264809.

A lack of replay attack protection in Security Mode Command process prior to SMR Oct-2021 Release 1 can lead to denial of service on mobile network connection and battery depletion.

IBM InfoSphere Information Server 11.7 could allow a remote attacker to cause a denial of service due to improper input validation. IBM X-Force ID: 265161.

A validation issue was addressed with improved logic. This issue is fixed in visionOS 2.4, macOS Ventura 13.7.5, tvOS 18.4, iPadOS 17.7.6, iOS 18.4 and iPadOS 18.4, macOS Sequoia 15.4, macOS Sonoma 14.7.5. A remote user may be able to cause a denial-of-service.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 11.5 is vulnerable to denial of service with a specially crafted query statement. IBM X-Force ID: 263575.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 11.5 is vulnerable to denial of service with a specially crafted SQL statement using External Tables. IBM X-Force ID: 263499.

The issue was addressed with improved checks. This issue is fixed in watchOS 11.5, macOS Sonoma 14.7.6, tvOS 18.5, iPadOS 17.7.7, iOS 18.5 and iPadOS 18.5, macOS Sequoia 15.5, visionOS 2.5, macOS Ventura 13.7.6. Parsing a file may lead to an unexpected app termination.

This issue was addressed with improved checks. This issue is fixed in macOS Ventura 13.7.6, macOS Sequoia 15.5, macOS Sonoma 14.7.6. Mounting a maliciously crafted AFP network share may lead to system termination.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 10.5, 11.1, and 11.5 is vulnerable to denial of service with a specially crafted SQL statement. IBM X-Force ID: 262257.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 11.5 and 11.5 is vulnerable to denial of service with a specially crafted ALTER TABLE statement. IBM X-Force ID: 261616.

Windows upnphost.dll Denial of Service Vulnerability

IBM Db2 for Linux, UNIX and Windows 11.1 and 11.5 may be vulnerable to a Denial of Service when executing a specially crafted 'Load' command. IBM X-Force ID: 241676.

Microsoft Message Queuing (MSMQ) Denial of Service Vulnerability

In isWordBreakAfter of LayoutUtils.cpp, there is a possible way to slow or crash a TextView 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: Android; Versions: Android-9, Android-10, Android-11, Android-8.0, Android-8.1; Android ID: A-170968514.

TensorFlow is an open source platform for machine learning. An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in `tf.raw_ops.SparseMatrixNNZ`. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. When running on GPU, `tf.image.generate_bounding_box_proposals` receives a `scores` input that must be of rank 4 but is not checked. We have patched the issue in GitHub commit cf35502463a88ca7185a99daa7031df60b3c1c98. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. An input `encoded` that is not a valid `CompositeTensorVariant` tensor will trigger a segfault in `tf.raw_ops.CompositeTensorVariantToComponents`. We have patched the issue in GitHub commits bf594d08d377dc6a3354d9fdb494b32d45f91971 and 660ce5a89eb6766834bdc303d2ab3902aef99d3d. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. An input `token` that is not a UTF-8 bytestring will trigger a `CHECK` fail in `tf.raw_ops.PyFunc`. We have patched the issue in GitHub commit 9f03a9d3bafe902c1e6beb105b2f24172f238645. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Improper input validation for Intel(R) EMA before version 1.5.0 may allow an unauthenticated user to potentially enable denial of service via network access.

TensorFlow is an open source platform for machine learning. If `ThreadUnsafeUnigramCandidateSampler` is given input `filterbank_channel_count` greater than the allowed max size, TensorFlow will crash. We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

A denial of service issue was addressed with improved input validation. This issue is fixed in iOS 13.6 and iPadOS 13.6. A remote attacker may cause an unexpected application termination.

An input validation issue existed in Bluetooth. This issue was addressed with improved input validation. This issue is fixed in iOS 13.6 and iPadOS 13.6, tvOS 13.4.8. An attacker in a privileged network position may be able to perform denial of service attack using malformed Bluetooth packets.

TensorFlow is an open source platform for machine learning. If `QuantizedAvgPool` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7cdf9d4d2083b739ec81cfdace546b0c99f50622. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

A denial of service issue was addressed with improved input validation. This issue is fixed in iOS 13.5 and iPadOS 13.5, macOS Catalina 10.15.5. A remote attacker may be able to cause a denial of service.

TensorFlow is an open source platform for machine learning. If `QuantizedBiasAdd` is given `min_input`, `max_input`, `min_bias`, `max_bias` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

TensorFlow is an open source platform for machine learning. If `QuantizedAdd` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

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.

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.

Improper input validation in some firmware for Intel(R) AMT and Intel(R) Standard Manageability before versions 11.8.94, 11.12.94, 11.22.94, 12.0.93, 14.1.70, 15.0.45, and 16.1.27 in Intel (R) CSME may allow an unauthenticated user to potentially enable denial of service via network access.

TensorFlow is an open source platform for machine learning. If `SparseBincount` is given inputs for `indices`, `values`, and `dense_shape` that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Improper input validation in the Intel(R) RAID Web Console 3 for Windows* may allow an unauthenticated user to potentially enable denial of service via network access.

TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar input for: `min_a`, `max_a`, `min_b`, or `max_b` It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

In ril, there is a possible system crash due to an incorrect 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: ALPS07257259; Issue ID: ALPS07257259.

A parsing issue with binary data 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.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 11.1 and 11.5 federated server is vulnerable to a denial of service as the server may crash when using a specially crafted wrapper using certain options. IBM X-Force ID: 253202.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 10.5, 11.1, and 11.5 is vulnerable to denial of service with a specially crafted query on certain tables. IBM X-Force ID: 253361 .

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 10.5, 11.1, and 11.5 is vulnerable to denial of service with a specially crafted query. IBM X-Force ID: 253439.

IBM DB2 for Linux, UNIX and Windows (includes Db2 Connect Server) 10.5, 11.1, and 11.5 is vulnerable to denial of service with a specially crafted query on certain tables. IBM X-Force ID: 253437.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 10.5, 11.1, and 11.5 is vulnerable to denial of service with a specially crafted query on certain tables. IBM X-Force ID: 253436.