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.

Signalling in Pexip Infinity 29 through 36.2 before 37.0 has improper input validation that allows remote attackers to trigger a temporary denial of service (software abort).

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.

RIOT is an operating system for internet of things (IoT) devices. In version 2024.04 and prior, the function `_parse_advertise`, located in `/sys/net/application_layer/dhcpv6/client.c`, has no minimum header length check for `dhcpv6_opt_t` after processing `dhcpv6_msg_t`. This omission could lead to an out-of-bound read, causing system inconsistency. Additionally, the same lack of a header length check is present in the function `_preparse_advertise`, which is called by `_parse_advertise` before handling the request. As of time of publication, no known patched version exists.

TensorFlow is an open source platform for machine learning. If `SparseFillEmptyRowsGrad` is given empty inputs, TensorFlow will crash. We have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8. 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.

When an 'Attack Signature False Positive Mode' enabled security policy is configured on a virtual server, undisclosed requests can cause the bd process to terminate.

TensorFlow is an open source platform for machine learning. Inputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in `SdcaOptimizer`. We have patched the issue in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa. 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.

Cisco IOS 12.2 through 12.4 and 15.0 through 15.6 and IOS XE 3.1 through 3.17 and 16.2 allow remote attackers to cause a denial of service (device reload) via crafted fields in an H.323 message, aka Bug ID CSCux04257.

The gdImageCropThreshold function in gd_crop.c in the GD Graphics Library (aka libgd) before 2.2.3, as used in PHP before 7.0.9, allows remote attackers to cause a denial of service (application crash) via an invalid color index.

LiquidJS is a Shopify / GitHub Pages compatible template engine in pure JavaScript. Prior to version 10.25.1, LiquidJS's `memoryLimit` security mechanism can be completely bypassed by using reverse range expressions (e.g., `(100000000..1)`), allowing an attacker to allocate unlimited memory. Combined with a string flattening operation (e.g., `replace` filter), this causes a V8 Fatal error that crashes the Node.js process, resulting in complete denial of service from a single HTTP request. Version 10.25.1 patches the issue.

An issue discovered in Python Packaging Authority (PyPA) Wheel 0.37.1 and earlier allows remote attackers to cause a denial of service via attacker controlled input to wheel cli.

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.

hostapd 0.6.7 through 2.5 and wpa_supplicant 0.6.7 through 2.5 do not reject \n and \r characters in passphrase parameters, which allows remote attackers to cause a denial of service (daemon outage) via a crafted WPS operation.

Improper Input Validation vulnerability in Mitsubishi Electric Corporation MELSEC iQ-R Series RJ71EN71 Firmware version "65" and prior and Mitsubishi Electric Corporation MELSEC iQ-R Series R04/08/16/32/120ENCPU Network Part Firmware version "65" and prior allows a remote unauthenticated attacker to cause a Denial of Service condition by sending specially crafted packets. A system reset is required for recovery.

Improper Input Validation vulnerability in Infinera MTC-9 allows remote unauthenticated users to crash the service and cause a reboot of the appliance, thus causing a DoS condition, via crafted XML payloads.This issue affects MTC-9: from R22.1.1.0275 before R23.0.

Improper Input Validation vulnerability in Apache Kvrocks. The SETRANGE command didn't check if the `offset` input is a positive integer and use it as an index of a string. So it will cause the server to crash due to its index is  out of range. This issue affects Apache Kvrocks: through 2.11.1. Users are recommended to upgrade to version 2.12.0, which fixes the issue.

OpenSIPS is a Session Initiation Protocol (SIP) server implementation. Prior to versions 3.1.7 and 3.2.4, OpenSIPS crashes when a malformed SDP body is received and is processed by the `delete_sdp_line` function in the sipmsgops module. This issue can be reproduced by calling the function with an SDP body that does not terminate by a line feed (i.e. `\n`). The vulnerability was found while performing black-box fuzzing against an OpenSIPS server running a configuration that made use of the functions `codec_delete_except_re` and `codec_delete_re`. The same issue was also discovered while performing coverage guided fuzzing on the function `codec_delete_except_re`. The crash happens because the function `delete_sdp_line` expects that an SDP line is terminated by a line feed (`\n`): By abusing this vulnerability, an attacker is able to crash the server. It affects configurations containing functions that rely on the affected code, such as the function `codec_delete_except_re`. Due to the sanity check that is performed in the `del_lump` function, exploitation of this issue will generate an `abort` in the lumps processing function, resulting in a Denial of Service. This issue has been fixed in versions 3.1.7 and 3.2.4.

Transient DOS due to improper input validation in WLAN Host.

Stack-based buffer overflow in the getaddrinfo function in sysdeps/posix/getaddrinfo.c in the GNU C Library (aka glibc or libc6) allows remote attackers to cause a denial of service (crash) via vectors involving hostent conversion. NOTE: this vulnerability exists because of an incomplete fix for CVE-2013-4458.

Traefik (pronounced traffic) is a modern HTTP reverse proxy and load balancer that assists in deploying microservices. There is a potential vulnerability in Traefik managing HTTP/2 connections. A closing HTTP/2 server connection could hang forever because of a subsequent fatal error. This failure mode could be exploited to cause a denial of service. There has been a patch released in versions 2.8.8 and 2.9.0-rc5. There are currently no known workarounds.

IBM MQ for HPE NonStop 8.1.0 is vulnerable to a denial of service attack due to an error within the CCDT and channel synchronization logic. IBM X-Force ID: 235727.

A vulnerability has been identified in SIMATIC HMI Comfort Panels (incl. SIPLUS variants) (All versions < V17 Update 4), SIMATIC HMI KTP Mobile Panels (All versions < V17 Update 4), SIMATIC HMI KTP1200 Basic (All versions < V17 Update 5), SIMATIC HMI KTP400 Basic (All versions < V17 Update 5), SIMATIC HMI KTP700 Basic (All versions < V17 Update 5), SIMATIC HMI KTP900 Basic (All versions < V17 Update 5), SIPLUS HMI KTP1200 BASIC (All versions < V17 Update 5), SIPLUS HMI KTP400 BASIC (All versions < V17 Update 5), SIPLUS HMI KTP700 BASIC (All versions < V17 Update 5), SIPLUS HMI KTP900 BASIC (All versions < V17 Update 5). Affected devices do not properly validate input sent to certain services over TCP. This could allow an unauthenticated remote attacker to cause a permanent denial of service condition (requiring a device reboot) by sending specially crafted TCP packets.

Improper Input Validation vulnerability in ZTE GoldenDB allows Input Data Manipulation.This issue affects GoldenDB: from 6.1.03 through 6.1.03.04.

go-merkledag implements the 'DAGService' interface and adds two ipld node types, Protobuf and Raw for the ipfs project. A `ProtoNode` may be modified in such a way as to cause various encode errors which will trigger a panic on common method calls that don't allow for error returns. A `ProtoNode` should only be able to encode to valid DAG-PB, attempting to encode invalid DAG-PB forms will result in an error from the codec. Manipulation of an existing (newly created or decoded) `ProtoNode` using the modifier methods did not account for certain states that would place the `ProtoNode` into an unencodeable form. Due to conformance with the [`github.com/ipfs/go-block-format#Block`](https://pkg.go.dev/github.com/ipfs/go-block-format#Block) and [`github.com/ipfs/go-ipld-format#Node`](https://pkg.go.dev/github.com/ipfs/go-ipld-format#Node) interfaces, certain methods, which internally require a re-encode if state has changed, will panic due to the inability to return an error. This issue has been addressed across a number of pull requests. Users are advised to upgrade to version 0.8.1 for a complete set of fixes. Users unable to upgrade may attempt to mitigate this issue by sanitising inputs when allowing user-input to set a new `CidBuilder` on a `ProtoNode` and by sanitising `Tsize` (`Link#Size`) values such that they are a reasonable byte-size for sub-DAGs where derived from user-input.

On BIG-IP AFM version 16.1.x before 16.1.2, 15.1.x before 15.1.4.1, 14.1.x before 14.1.4.5, and 13.1.x beginning in 13.1.3.4, when a virtual server is configured with both HTTP protocol security and HTTP Proxy Connect profiles, undisclosed requests can cause the Traffic Management Microkernel (TMM) to terminate. Note: Software versions which have reached End of Technical Support (EoTS) are not evaluated.

An Improper Validation of Syntactic Correctness of Input vulnerability in the kernel of Juniper Networks Junos OS Evolved on PTX series allows a network-based, unauthenticated attacker to cause a Denial of Service (DoS). When an incoming TCP packet destined to the device is malformed there is a possibility of a kernel panic. Only TCP packets destined to the ports for BGP, LDP and MSDP can trigger this. This issue only affects PTX10004, PTX10008, PTX10016. No other PTX Series devices or other platforms are affected. This issue affects Juniper Networks Junos OS Evolved: 20.4-EVO versions prior to 20.4R3-S4-EVO; 21.3-EVO versions prior to 21.3R3-EVO; 21.4-EVO versions prior to 21.4R3-EVO; 22.1-EVO versions prior to 22.1R2-EVO. This issue does not affect Juniper Networks Junos OS Evolved versions prior to 20.4R1-EVO.

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 Locator/ID Separation Protocol (LISP) implementation in Cisco IOS 15.1 and 15.2 and NX-OS 4.1 through 6.2 allows remote attackers to cause a denial of service (device reload) via a crafted header in a packet, aka Bug ID CSCuu64279.

Netty, an asynchronous, event-driven network application framework, has a vulnerability starting in version 4.1.91.Final and prior to version 4.1.118.Final. When a special crafted packet is received via SslHandler it doesn't correctly handle validation of such a packet in all cases which can lead to a native crash. Version 4.1.118.Final contains a patch. As workaround its possible to either disable the usage of the native SSLEngine or change the code manually.

Huawei Aslan Children's Watch has an improper input validation vulnerability. Successful exploitation may cause the watch's application service abnormal.

An issue was discovered on Samsung mobile devices with KK(4.4), L(5.0/5.1), and M(6.0) software. BootReceiver allows attackers to trigger a system crash because of incorrect exception handling. The Samsung ID is SVE-2016-7118 (December 2016).

A type confusion issue was addressed with improved checks. This issue is fixed in iOS 18.3 and iPadOS 18.3, macOS Sequoia 15.3, macOS Sonoma 14.7.5, macOS Ventura 13.7.5, tvOS 18.3, visionOS 2.3. An attacker on the local network may cause an unexpected app termination.

Valid Host header field can cause Apache Traffic Server to crash on some platforms. This issue affects Apache Traffic Server: from 9.2.0 through 9.2.5. Users are recommended to upgrade to version 9.2.6, which fixes the issue, or 10.0.2, which does not have the issue.

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause a denial of service by loading a misconfigured model. A successful exploit of this vulnerability might lead to denial of service.

jadedown is vulnerable to regular expression denial of service (ReDoS) when certain types of user input is passed in.

fast-xml-parser allows users to validate XML, parse XML to JS object, or build XML from JS object without C/C++ based libraries and no callback. In versions 5.0.9 through 5.3.3, a RangeError vulnerability exists in the numeric entity processing of fast-xml-parser when parsing XML with out-of-range entity code points (e.g., `&#9999999;` or `&#xFFFFFF;`). This causes the parser to throw an uncaught exception, crashing any application that processes untrusted XML input. Version 5.3.4 fixes the issue.

A Huawei device has an input verification vulnerability. Successful exploitation of this vulnerability may lead to DoS attacks.Affected product versions include:CV81-WDM FW versions 01.70.49.29.46.

BIND 9 resolver can crash when stale cache and stale answers are enabled, option `stale-answer-client-timeout` is set to a positive integer, and the resolver receives an RRSIG query. This issue affects BIND 9 versions 9.16.12 through 9.16.36, 9.18.0 through 9.18.10, 9.19.0 through 9.19.8, and 9.16.12-S1 through 9.16.36-S1.

jshamcrest is vulnerable to regular expression denial of service (ReDoS) when certain types of user input is passed in to the emailAddress validator.

An unauthorized user could use a specially crafted sequence of Ethernet/IP messages, combined with heavy traffic loading to cause a denial-of-service condition in Rockwell Automation Logix controllers resulting in a major non-recoverable fault. If the target device becomes unavailable, a user would have to clear the fault and redownload the user project file to bring the device back online and continue normal operation.

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.

TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_max` 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.

A vulnerability has been identified in LOGO! 12/24RCE (6ED1052-1MD08-0BA1) (All versions), LOGO! 12/24RCE (6ED1052-1MD08-0BA2) (All versions), LOGO! 12/24RCEo (6ED1052-2MD08-0BA1) (All versions), LOGO! 12/24RCEo (6ED1052-2MD08-0BA2) (All versions), LOGO! 230RCE (6ED1052-1FB08-0BA1) (All versions), LOGO! 230RCE (6ED1052-1FB08-0BA2) (All versions), LOGO! 230RCEo (6ED1052-2FB08-0BA1) (All versions), LOGO! 230RCEo (6ED1052-2FB08-0BA2) (All versions), LOGO! 24CE (6ED1052-1CC08-0BA1) (All versions), LOGO! 24CE (6ED1052-1CC08-0BA2) (All versions), LOGO! 24CEo (6ED1052-2CC08-0BA1) (All versions), LOGO! 24CEo (6ED1052-2CC08-0BA2) (All versions), LOGO! 24RCE (6ED1052-1HB08-0BA1) (All versions), LOGO! 24RCE (6ED1052-1HB08-0BA2) (All versions), LOGO! 24RCEo (6ED1052-2HB08-0BA1) (All versions), LOGO! 24RCEo (6ED1052-2HB08-0BA2) (All versions), SIPLUS LOGO! 12/24RCE (6AG1052-1MD08-7BA1) (All versions), SIPLUS LOGO! 12/24RCE (6AG1052-1MD08-7BA2) (All versions), SIPLUS LOGO! 12/24RCEo (6AG1052-2MD08-7BA1) (All versions), SIPLUS LOGO! 12/24RCEo (6AG1052-2MD08-7BA2) (All versions), SIPLUS LOGO! 230RCE (6AG1052-1FB08-7BA1) (All versions), SIPLUS LOGO! 230RCE (6AG1052-1FB08-7BA2) (All versions), SIPLUS LOGO! 230RCEo (6AG1052-2FB08-7BA1) (All versions), SIPLUS LOGO! 230RCEo (6AG1052-2FB08-7BA2) (All versions), SIPLUS LOGO! 24CE (6AG1052-1CC08-7BA1) (All versions), SIPLUS LOGO! 24CE (6AG1052-1CC08-7BA2) (All versions), SIPLUS LOGO! 24CEo (6AG1052-2CC08-7BA1) (All versions), SIPLUS LOGO! 24CEo (6AG1052-2CC08-7BA2) (All versions), SIPLUS LOGO! 24RCE (6AG1052-1HB08-7BA1) (All versions), SIPLUS LOGO! 24RCE (6AG1052-1HB08-7BA2) (All versions), SIPLUS LOGO! 24RCEo (6AG1052-2HB08-7BA1) (All versions), SIPLUS LOGO! 24RCEo (6AG1052-2HB08-7BA2) (All versions). Affected devices do not conduct certain validations when interacting with them. This could allow an unauthenticated remote attacker to manipulate the devices IP address, which means the device would not be reachable and could only be recovered by power cycling the device.

TensorFlow is an open source platform for machine learning. When converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process. We have patched the issue in GitHub commit aa0b852a4588cea4d36b74feb05d93055540b450. 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 `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 `QuantizedRelu` or `QuantizedRelu6` are given nonscalar inputs for `min_features` or `max_features`, 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.

TensorFlow is an open source platform for machine learning. If `Requantize` is given `input_min`, `input_max`, `requested_output_min`, `requested_output_max` 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. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. 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.