An issue was discovered in Squid before 4.10. Due to incorrect input validation, the NTLM authentication credentials parser in ext_lm_group_acl may write to memory outside the credentials buffer. On systems with memory access protections, this can result in the helper process being terminated unexpectedly. This leads to the Squid process also terminating and a denial of service for all clients using the proxy.
Improper input validation in Citrix ADC and Citrix Gateway versions before 11.1-63.9 and 12.0-62.10 allows unauthenticated users to perform a denial of service attack.
An issue in OneFlow-Inc. Oneflow v0.9.1 allows attackers to cause a Denial of Service (DoS) via inputting a negative value into the oneflow.index_select parameter.
An issue in the oneflow.scatter_nd parameter OneFlow-Inc. Oneflow v0.9.1 allows attackers to cause a Denial of Service (DoS) when index parameter exceeds the range of shape.
Improper input validation in OneFlow-Inc. Oneflow v0.9.1 allows attackers to cause a Denial of Service (DoS) via inputting a negative value into the oneflow.full parameter.
Grin through 2.1.1 has Insufficient Validation.
MileSight DeviceHub -Â CWE-20 Improper Input Validation may allow Denial of Service
Improper input validation in SAP NetWeaver Internet Communication Manager (update provided in KRNL32NUC & KRNL32UC 7.21, 7.21EXT, 7.22, 7.22EXT KRNL64NUC & KRNL64UC 7.21, 7.21EXT, 7.22, 7.22EXT, 7.49 KERNEL 7.21, 7.49, 7.53) allows an attacker to prevent users from accessing its services through a denial of service.
A flaw exists in Trading Technologies Messaging 7.1.28.3 (ttmd.exe) due to improper validation of user-supplied data when processing a type 8 message sent to default TCP RequestPort 10200. An unauthenticated, remote attacker can exploit this issue, via a specially crafted message, to terminate ttmd.exe.
Improper input validation vulnerability in EC-CUBE versions from 3.0.5 to 3.0.18 allows a remote attacker to cause a denial-of-service (DoS) condition via unspecified vector.
Discourse is an open-source discussion platform. Prior to version 3.2.3 on the `stable` branch and version 3.3.0.beta3 on the `tests-passed` branch, Oneboxing against a carefully crafted malicious URL can reduce the availability of a Discourse instance. The problem has been patched in version 3.2.3 on the `stable` branch and version 3.3.0.beta3 on the `tests-passed` branch. There are no known workarounds available for this vulnerability.
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.
Reactor Netty HttpServer, versions 0.9.3 and 0.9.4, is exposed to a URISyntaxException that causes the connection to be closed prematurely instead of producing a 400 response.
IBM Spectrum Protect 7.1 and 8.1 could allow an attacker to cause a denial of service due ti improper validation of user-supplied input. IBM X-Force ID: 183613.
A vulnerability in the web UI of Cisco Small Business Switches could allow an unauthenticated, remote attacker to cause a denial of service (DoS) condition on an affected device. The vulnerability is due to improper validation of requests sent to the web interface. An attacker could exploit this vulnerability by sending a malicious request to the web interface of an affected device. A successful exploit could allow the attacker to cause an unexpected reload of the device, resulting in a DoS condition. This vulnerability affects firmware releases prior than 1.3.7.18
Insufficient verification vulnerability in the baseband module Impact: Successful exploitation of this vulnerability will affect availability.
Insufficient verification vulnerability in the system sharing pop-up module Impact: Successful exploitation of this vulnerability will affect availability.
A packet processing mechanism in Palo Alto Networks PAN-OS software enables a remote attacker to reboot hardware-based firewalls. Repeated attacks eventually cause the firewall to enter maintenance mode, which requires manual intervention to bring the firewall back online. This affects the following hardware firewall models: - PA-5400 Series firewalls - PA-7000 Series firewalls
Improper validation of certain metadata input may result in the server not correctly serialising BSON. This can be performed pre-authentication and may cause unexpected application behavior including unavailability of serverStatus responses. This issue affects MongoDB Server v7.0 versions prior to 7.0.6, MongoDB Server v6.0 versions prior to 6.0.14 and MongoDB Server v.5.0 versions prior to 5.0.25.
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.
An issue in ollama v.0.12.10 allows a remote attacker to cause a denial of service via the GGUF decoder
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 security issue was discovered within FactoryTalk® ViewPoint, allowing unauthenticated attackers to achieve XXE. Certain SOAP requests can be abused to perform XXE, resulting in a temporary denial-of-service.
The MongoDB Server is susceptible to a denial of service vulnerability due to improper handling of specific date values in JSON input when using OIDC authentication. This can be reproduced using the mongo shell to send a malicious JSON payload leading to an invariant failure and server crash. This issue affects MongoDB Server v7.0 versions prior to 7.0.17 and MongoDB Server v8.0 versions prior to 8.0.5. The same issue affects MongoDB Server v6.0 versions prior to 6.0.21, but an attacker can only induce denial of service after authenticating.
All versions of Node.js 9.x and 10.x are vulnerable and the severity is HIGH. An attacker can cause a denial of service (DoS) by causing a node process which provides an http server supporting TLS server to crash. This can be accomplished by sending duplicate/unexpected messages during the handshake. This vulnerability has been addressed by updating the TLS implementation.
A Malformed h2 frame can cause 'std::out_of_range' exception when parsing priority meta data. This behavior can lead to denial-of-service. This affects all supported versions of HHVM (3.25.2, 3.24.6, and 3.21.10 and below) when using the proxygen server to handle HTTP2 requests.
A Null Pointer Dereference vulnerability exists in the referer header check of the web portal of TP-Link TL-WR841N v14, caused by improper input validation. A remote, unauthenticated attacker can exploit this flaw and cause Denial of Service on the web portal service.This issue affects TL-WR841N v14: before 250908.
An issue in the Proxygen handling of HTTP2 parsing of headers/trailers can lead to a denial-of-service attack. This affects Proxygen prior to v2018.12.31.00.
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.
HTTP/2 CONTINUATION DoS attack can cause Apache Traffic Server to consume more resources on the server. Version from 8.0.0 through 8.1.9, from 9.0.0 through 9.2.3 are affected. Users can set a new setting (proxy.config.http2.max_continuation_frames_per_minute) to limit the number of CONTINUATION frames per minute.  ATS does have a fixed amount of memory a request can use and ATS adheres to these limits in previous releases. Users are recommended to upgrade to versions 8.1.10 or 9.2.4 which fixes the issue.
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.
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.
A vulnerability has been identified in OpenPCS 7 V7.1 and earlier (All versions), OpenPCS 7 V8.0 (All versions), OpenPCS 7 V8.1 (All versions < V8.1 Upd5), OpenPCS 7 V8.2 (All versions), OpenPCS 7 V9.0 (All versions < V9.0 Upd1), SIMATIC BATCH V7.1 and earlier (All versions), SIMATIC BATCH V8.0 (All versions < V8.0 SP1 Upd21), SIMATIC BATCH V8.1 (All versions < V8.1 SP1 Upd16), SIMATIC BATCH V8.2 (All versions < V8.2 Upd10), SIMATIC BATCH V9.0 (All versions < V9.0 SP1), SIMATIC NET PC Software V14 (All versions < V14 SP1 Update 14), SIMATIC NET PC Software V15 (All versions < 15 SP1), SIMATIC PCS 7 V7.1 and earlier (All versions), SIMATIC PCS 7 V8.0 (All versions), SIMATIC PCS 7 V8.1 (All versions), SIMATIC PCS 7 V8.2 (All versions < V8.2 SP1), SIMATIC PCS 7 V9.0 (All versions < V9.0 SP1), SIMATIC Route Control V7.1 and earlier (All versions), SIMATIC Route Control V8.0 (All versions), SIMATIC Route Control V8.1 (All versions), SIMATIC Route Control V8.2 (All versions), SIMATIC Route Control V9.0 (All versions < V9.0 Upd1), SIMATIC WinCC Runtime Professional V13 (All versions < V13 SP2 Upd2), SIMATIC WinCC Runtime Professional V14 (All versions < V14 SP1 Upd5), SIMATIC WinCC V7.2 and earlier (All versions < WinCC 7.2 Upd 15), SIMATIC WinCC V7.3 (All versions < WinCC 7.3 Upd 16), SIMATIC WinCC V7.4 (All versions < V7.4 SP1 Upd 4), SPPA-T3000 Application Server (All versions < Service Pack R8.2 SP2). Specially crafted messages sent to the RPC service of the affected products could cause a Denial-of-Service condition on the remote and local communication functionality of the affected products. A reboot of the system is required to recover the remote and local communication functionality. Please note that an attacker needs to have network access to the Application Server in order to exploit this vulnerability. At the time of advisory publication no public exploitation of this security vulnerability was known.
A flaw exists in the Ingress/Egress checks routine of FactoryTalk Linx Version 6.11 and prior. This vulnerability could allow a remote, unauthenticated attacker to specifically craft a malicious packet resulting in a denial-of-service condition on the device.
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.
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 `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.
An exploitable denial of service vulnerability exists in the Ocularis Recorder functionality of Ocularis 5.5.0.242. A specially crafted TCP packet can cause a process to terminate resulting in denial of service. An attacker can send a crafted TCP packet to trigger this vulnerability.
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.
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.
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 `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 `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 `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.
Transient DOS due to improper input validation in WLAN Host while parsing frame during defragmentation.
FreeSWITCH is a Software Defined Telecom Stack enabling the digital transformation from proprietary telecom switches to a software implementation that runs on any commodity hardware. When handling SRTP calls, FreeSWITCH prior to version 1.10.7 is susceptible to a DoS where calls can be terminated by remote attackers. This attack can be done continuously, thus denying encrypted calls during the attack. When a media port that is handling SRTP traffic is flooded with a specially crafted SRTP packet, the call is terminated leading to denial of service. This issue was reproduced when using the SDES key exchange mechanism in a SIP environment as well as when using the DTLS key exchange mechanism in a WebRTC environment. The call disconnection occurs due to line 6331 in the source file `switch_rtp.c`, which disconnects the call when the total number of SRTP errors reach a hard-coded threshold (100). By abusing this vulnerability, an attacker is able to disconnect any ongoing calls that are using SRTP. The attack does not require authentication or any special foothold in the caller's or the callee's network. This issue is patched in version 1.10.7.
An issue was discovered in Mattermost Server before 4.7.3. It allows attackers to cause a denial of service (application crash) via invalid LaTeX text.
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 denial of service issue was addressed with improved validation. This issue is fixed in iOS 12.4, watchOS 5.3. A remote attacker may cause an unexpected application termination.