Cloudburst Network provides network components used within Cloudburst projects. A vulnerability in versions prior to `1.0.0.CR3-20260417.085727-30` impacts publicly accessible software depending on the affected versions of Network and allows an attacker to exploit a vulnerability in Network to stall the netty event loop, rendering it inoperable. All consumers of the library should upgrade to at least version `1.0.0.CR3-20260417.085727-30`. There are no known workarounds beyond updating the library.

OpenBao exists to provide a software solution to manage, store, and distribute sensitive data including secrets, certificates, and keys. OpenBao before v2.3.0 allowed an attacker to perform unauthenticated, unaudited cancellation of root rekey and recovery rekey operations, effecting a denial of service. In OpenBao v2.2.0 and later, manually setting the configuration option `disable_unauthed_rekey_endpoints=true` allows an operator to deny these rarely-used endpoints on global listeners. A patch is available at commit fe75468822a22a88318c6079425357a02ae5b77b. In a future OpenBao release communicated on OpenBao's website, the maintainers will set this to `true` for all users and provide an authenticated alternative. As a workaround, if an active proxy or load balancer sits in front of OpenBao, an operator can deny requests to these endpoints from unauthorized IP ranges.

Missing input validation in the rfapiRibBi2Ri() function (rfapi_rib.c) of FRRouting (FRR) stable/10.0 to stable/10.6 allows attackers to cause a Denial of Service (DoS) via supplying a crafted BGP UPDATE message.

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. 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.

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. If `tf.raw_ops.TensorListConcat` is given `element_shape=[]`, it results segmentation fault which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde. 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 session invalidation in the component /edms/change-password.php of PHPGurukul e-Diary Management System v1 allows attackers to execute a session hijacking attack.

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.

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

Insufficient verification vulnerability in the system sharing pop-up module Impact: Successful exploitation of this vulnerability will affect availability.

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.

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.

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 `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 `RaggedBincount` is given an empty input tensor `splits`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7a4591fd4f065f4fa903593bc39b2f79530a74b8. 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.

Insufficient input validation in Intel(R) Baseboard Management Controller firmware may allow an unauthenticated user to potentially enable denial of service via network access.

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.

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 `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.

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.

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. 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.

It is possible to crash (panic) an application by providing a corrupted data to be read. This issue affects Rust applications using Apache Avro Rust SDK prior to 0.14.0 (previously known as avro-rs). Users should update to apache-avro version 0.14.0 which addresses 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.

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.

It is possible to provide data to be read that leads the reader to loop in cycles endlessly, consuming CPU. This issue affects Rust applications using Apache Avro Rust SDK prior to 0.14.0 (previously known as avro-rs). Users should update to apache-avro version 0.14.0 which addresses this issue.

Transient DOS due to improper input validation in WLAN Host while parsing frame during defragmentation.

In BIG-IP Versions 16.1.x before 16.1.3.1 and 15.1.x before 15.1.6.1, and all versions of BIG-IQ 8.x, when the Data Plane Development Kit (DPDK)/Elastic Network Adapter (ENA) driver is used with BIG-IP or BIG-IQ on Amazon Web Services (AWS) systems, undisclosed traffic can cause the Traffic Management Microkernel (TMM) to terminate. Successful exploitation relies on conditions outside of the attacker's control. Note: Software versions which have reached End of Technical Support (EoTS) are not evaluated.

A flaw was found in privoxy before 3.0.32. A crash can occur via a crafted CGI request if Privoxy is toggled off.

A vulnerability in the PDF parsing module in Clam AntiVirus (ClamAV) Software versions 0.103.0 and 0.103.1 could allow an unauthenticated, remote attacker to cause a denial of service condition on an affected device. The vulnerability is due to improper buffer size tracking that may result in a heap buffer over-read. An attacker could exploit this vulnerability by sending a crafted PDF file to an affected device. An exploit could allow the attacker to cause the ClamAV scanning process to crash, resulting in a denial of service condition.

A vulnerability in the Excel XLM macro parsing module in Clam AntiVirus (ClamAV) Software versions 0.103.0 and 0.103.1 could allow an unauthenticated, remote attacker to cause a denial of service condition on an affected device. The vulnerability is due to improper error handling that may result in an infinite loop. An attacker could exploit this vulnerability by sending a crafted Excel file to an affected device. An exploit could allow the attacker to cause the ClamAV scanning process hang, resulting in a denial of service condition.

A vulnerability in the vDaemon process of Cisco IOS XE SD-WAN Software could allow an unauthenticated, remote attacker to cause a device to reload, resulting a denial of service (DoS) condition. This vulnerability is due to insufficient handling of malformed packets. An attacker could exploit this vulnerability by sending crafted traffic to an affected device. A successful exploit could allow the attacker to cause the device to reload, resulting in a DoS condition.

Multiple vulnerabilities in Cisco SD-WAN vManage Software could allow an unauthenticated, remote attacker to execute arbitrary code or gain access to sensitive information, or allow an authenticated, local attacker to gain escalated privileges or gain unauthorized access to the application. For more information about these vulnerabilities, see the Details section of this advisory.

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.

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.

Proxygen fails to validate that a secondary auth manager is set before dereferencing it. That can cause a denial of service issue when parsing a Certificate/CertificateRequest HTTP2 Frame over a fizz (TLS 1.3) transport. This issue affects Proxygen releases starting from v2018.10.29.00 until the fix in v2018.11.19.00.

tog-Pegasus has a package hash collision DoS vulnerability

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.

In Wireshark 3.2.0 to 3.2.1, 3.0.0 to 3.0.8, and 2.6.0 to 2.6.14, the WiMax DLMAP dissector could crash. This was addressed in plugins/epan/wimax/msg_dlmap.c by validating a length field.

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.

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.

Incorrect validation of user input in the role name parser may lead to use of uninitialized memory allowing an unauthenticated attacker to use a specially crafted request to cause a denial of service. This issue affects MongoDB Server v4.4 versions prior to 4.4.0-rc12; MongoDB Server v4.2 versions prior to 4.2.9.

A denial-of-service vulnerability exists in the Pixar Renderman IT Display Service 21.6 (0x67). The vulnerability is present in the parsing of a network packet without proper validation of the packet. The data read by the application is not validated, and its use can lead to a null pointer dereference. The IT application is opened by a user and then listens for a connection on port 4001. An attacker can deliver an attack once the application has been opened.

For the Central Licensing Server component used in ABB products ABB Ability™ System 800xA and related system extensions versions 5.1, 6.0 and 6.1, Compact HMI versions 5.1 and 6.0, Control Builder Safe 1.0, 1.1 and 2.0, Symphony Plus -S+ Operations 3.0 to 3.2 Symphony Plus -S+ Engineering 1.1 to 2.2, Composer Harmony 5.1, 6.0 and 6.1, Melody Composer 5.3, 6.1/6.2 and SPE for Melody 1.0SPx (Composer 6.3), Harmony OPC Server (HAOPC) Standalone 6.0, 6.1 and 7.0, ABB Ability™ System 800xA/ Advant® OCS Control Builder A 1.3 and 1.4, Advant® OCS AC100 OPC Server 5.1, 6.0 and 6.1, Composer CTK 6.1 and 6.2, AdvaBuild 3.7 SP1 and SP2, OPCServer for MOD 300 (non-800xA) 1.4, OPC Data Link 2.1 and 2.2, Knowledge Manager 8.0, 9.0 and 9.1, Manufacturing Operations Management 1812 and 1909, ABB AbilityTM SCADAvantage versions 5.1 to 5.6.5, a weakness in validation of input exists that allows an attacker to block license handling by sending specially crafted messages to the CLS web service.

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.

A vulnerability has been identified in SIMATIC S7-1200 CPU V1 family (incl. SIPLUS variants) (All versions < V2.0.3), SIMATIC S7-1200 CPU V2 family (incl. SIPLUS variants) (All versions < V2.0.3). The web server interface of affected devices improperly processes incoming malformed HTTP traffic at high rate. This could allow an unauthenticated remote attacker to force the device entering the stop/defect state, thus creating a denial of service condition.

Improper connection handling in the base connection handler in IKTeam BearFTP before v0.3.1 allows a remote attacker to achieve denial of service via a Slowloris approach by sending a large volume of small packets.