OpenAirInterface CN5G AMF<=v2.1.9 has a buffer overflow vulnerability in processing NAS messages. Unauthorized remote attackers can launch a denial-of-service attack and potentially execute malicious code by accessing port N1 and sending an imsi string longer than 1000 to AMF.

An exploitable denial-of-service vulnerability exists in the URI-parsing functionality of the TP-Link TL-R600VPN HTTP server. A specially crafted URL can cause the server to stop responding to requests, resulting in downtime for the management portal. An attacker can send either an unauthenticated or authenticated web request to trigger this vulnerability.

An improper use of a validation framework when processing incoming genuine BGP packets within Juniper Networks RPD (routing protocols process) daemon allows an attacker to crash RPD thereby causing a Denial of Service (DoS) condition. This framework requires these packets to be passed. By continuously sending any of these types of formatted genuine packets, an attacker can repeatedly crash the RPD process causing a sustained Denial of Service. Authentication to the BGP peer is not required. This issue can be initiated or propagated through eBGP and iBGP and can impact devices in either modes of use as long as the devices are configured to support the compromised framework and a BGP path is activated or active. This issue affects: Juniper Networks Junos OS 16.1 versions 16.1R7-S6 and later versions prior to 16.1R7-S8; 17.3 versions 17.3R2-S5, 17.3R3-S6 and later versions prior to 17.3R3-S8; 17.4 versions 17.4R2-S7, 17.4R3 and later versions prior to 17.4R2-S11, 17.4R3-S2; 18.1 versions 18.1R3-S7 and later versions prior to 18.1R3-S10; 18.2 versions 18.2R2-S6, 18.2R3-S2 and later versions prior to 18.2R2-S7, 18.2R3-S5; 18.2X75 versions 18.2X75-D12, 18.2X75-D32, 18.2X75-D33, 18.2X75-D51, 18.2X75-D60, 18.2X75-D411, 18.2X75-D420 and later versions prior to 18.2X75-D32, 18.2X75-D33, 18.2X75-D420, 18.2X75-D52, 18.2X75-D60, 18.2X75-D65, 18.2X75-D70;(*1) 18.3 versions 18.3R1-S6, 18.3R2-S3, 18.3R3 and later versions prior to 18.3R2-S4, 18.3R3-S2; 18.4 versions 18.4R1-S5, 18.4R2-S4, 18.4R3 and later versions prior to 18.4R1-S7, 18.4R2-S5, 18.4R3-S3(*2); 19.1 versions 19.1R1-S3, 19.1R2 and later versions prior to 19.1R1-S5, 19.1R2-S2, 19.1R3-S2; 19.2 versions 19.2R1-S2, 19.2R2 and later versions prior to 19.2R1-S5, 19.2R2, 19.2R3; 19.3 versions prior to 19.3R2-S3, 19.3R3; 19.4 versions prior to 19.4R1-S2, 19.4R2, 19.4R3; 20.1 versions prior to 20.1R1-S1, 20.1R2. This issue does not affect Junos OS prior to 16.1R1. This issue affects IPv4 and IPv6 traffic.

Data can be copied without validation in the built-in web server in Moxa NPort IAW5000A-I/O series firmware version 2.2 or earlier, which may allow a remote attacker to cause denial-of-service conditions.

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 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.

All versions of Node.js 8.x, 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 server providing an http2 server to crash. This can be accomplished by interacting with the http2 server in a manner that triggers a cleanup bug where objects are used in native code after they are no longer available. This has been addressed by updating the http2 implementation.

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.

Improper Input Validation vulnerability in HTTP/2 of Apache Traffic Server allows an attacker to DOS the server. This issue affects Apache Traffic Server 7.0.0 to 7.1.12, 8.0.0 to 8.1.1, 9.0.0 to 9.0.1.

Improper Input Validation vulnerability in HTTP/2 of Apache Traffic Server allows an attacker to DOS the server. This issue affects Apache Traffic Server 7.0.0 to 7.1.12, 8.0.0 to 8.1.1, 9.0.0 to 9.0.1.

Unspecified vulnerability in Century routers allows remote attackers to cause a denial of service (dropped session) via crafted BGP UPDATE messages, leading to route flapping, possibly a related issue to CVE-2007-6372.

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.

Pexip Infinity 25.x before 25.4 has Improper Input Validation, and thus an unauthenticated remote attacker can cause a denial of service via the administrative web interface.

In the GNU C Library (aka glibc or libc6) through 2.28, attempting to resolve a crafted hostname via getaddrinfo() leads to the allocation of a socket descriptor that is not closed. This is related to the if_nametoindex() function.

An issue was discovered in ASUSWRT 3.0.0.4.384.20308. An unauthenticated user can trigger a DoS of the httpd service via the /APP_Installation.asp?= URI.

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. 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.

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.

Adminer is open-source database management software. Adminer v5.4.1 and earlier has a version check mechanism where adminer.org sends signed version info via JavaScript postMessage, which the browser then POSTs to ?script=version. This endpoint lacks origin validation and accepts POST data from any source. An attacker can POST version[] parameter which PHP converts to an array. On next page load, openssl_verify() receives this array instead of string and throws TypeError, returning HTTP 500 to all users. Upgrade to Adminer 5.4.2.

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.

Unspecified vulnerability in Yamaha routers allows remote attackers to cause a denial of service (dropped session) via crafted BGP UPDATE messages, leading to route flapping, possibly a related issue to CVE-2007-6372.

Unspecified vulnerability in Avici routers allows remote attackers to cause a denial of service (dropped session) via crafted BGP UPDATE messages, leading to route flapping, possibly a related issue to CVE-2007-6372.

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.

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.

RustCrypto: Elliptic Curves is general purpose Elliptic Curve Cryptography (ECC) support, including types and traits for representing various elliptic curve forms, scalars, points, and public/secret keys composed thereof. In versions 0.14.0-pre.0 and 0.14.0-rc.0, a denial-of-service vulnerability exists in the SM2 PKE decryption path where an invalid elliptic-curve point (C1) is decoded and the resulting value is unwrapped without checking. Specifically, AffinePoint::from_encoded_point(&encoded_c1) may return a None/CtOption::None when the supplied coordinates are syntactically valid but do not lie on the SM2 curve. The calling code previously used .unwrap(), causing a panic when presented with such input. This issue has been patched via commit 085b7be.

Exploitable denial of service vulnerabilities exists in the Service Agent functionality of Moxa EDR-810 V4.1 build 17030317. A specially crafted packet can cause a denial of service. An attacker can send a large packet to 4000/tcp to trigger this vulnerability.

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. 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.

RustCrypto: Elliptic Curves is general purpose Elliptic Curve Cryptography (ECC) support, including types and traits for representing various elliptic curve forms, scalars, points, and public/secret keys composed thereof. In versions 0.14.0-pre.0 and 0.14.0-rc.0, a denial-of-service vulnerability exists in the SM2 public-key encryption (PKE) implementation: the decrypt() path performs unchecked slice::split_at operations on input buffers derived from untrusted ciphertext. An attacker can submit short/undersized ciphertext or carefully-crafted DER-encoded structures to trigger bounds-check panics (Rust unwinding) which crash the calling thread or process. This issue has been patched via commit e60e991.

go-ethereum (geth) is a golang execution layer implementation of the Ethereum protocol. A vulnerable node can be forced to shutdown/crash using a specially crafted message. This vulnerability is fixed in 1.16.8.

go-ethereum (geth) is a golang execution layer implementation of the Ethereum protocol. A vulnerable node can be forced to shutdown/crash using a specially crafted message. This vulnerability is fixed in 1.16.8.

An Improper Input Validation vulnerability in Packet Forwarding Engine manager (FXPC) process of Juniper Networks Junos OS allows an attacker to cause a Denial of Service (DoS) by sending specific DHCPv6 packets to the device and crashing the FXPC service. Continued receipt and processing of this specific packet will create a sustained Denial of Service (DoS) condition. This issue affects only the following platforms in ACX Series: ACX500, ACX1000, ACX1100, ACX2100, ACX2200, ACX4000, ACX5048, ACX5096 devices. Other ACX platforms are not affected from this issue. This issue affects Juniper Networks Junos OS on ACX500, ACX1000, ACX1100, ACX2100, ACX2200, ACX4000, ACX5048, ACX5096: 18.4 version 18.4R3-S7 and later versions prior to 18.4R3-S8. This issue does not affect: Juniper Networks Junos OS 18.4 versions prior to 18.4R3-S7 on ACX500, ACX1000, ACX1100, ACX2100, ACX2200, ACX4000, ACX5048, ACX5096.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) is vulnerable to a denial of service as the server may crash when an Out of Memory occurs using the DBMS_OUTPUT module. IBM X-Force ID: 247868.

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.

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).

An improper input validation of the p2c parameter in the Apache CXF JOSE code before 4.0.5, 3.6.4 and 3.5.9 allows an attacker to perform a denial of service attack by specifying a large value for this parameter in a token. 

A regular expression Denial of Service (DoS) vulnerability in the file lib/ecstatic.js of the ecstatic npm package, before version 2.0.0, allows a remote attacker to overload and crash a server by passing a maliciously crafted string.

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.

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 `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.

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

ansi2html is vulnerable to regular expression denial of service (ReDoS) when certain types of user input is passed in.

In FreeBSD 12.0-STABLE before r350828, 12.0-RELEASE before 12.0-RELEASE-p10, 11.3-STABLE before r350829, 11.3-RELEASE before 11.3-RELEASE-p3, and 11.2-RELEASE before 11.2-RELEASE-p14, a missing check in the function to arrange data in a chain of mbufs could cause data returned not to be contiguous. Extra checks in the IPv6 stack could catch the error condition and trigger a kernel panic, leading to a remote denial of service.

An input validation vulnerability in the oneflow.index_add component of OneFlow v0.9.0 allows attackers to cause a Denial of Service (DoS) via a crafted input.

An input validation vulnerability in the flow.arange() component of OneFlow v0.9.0 allows attackers to cause a Denial of Service (DoS) via a crafted input.

Stack consumption vulnerability in Zend/zend_exceptions.c in PHP before 5.4.44, 5.5.x before 5.5.28, and 5.6.x before 5.6.12 allows remote attackers to cause a denial of service (segmentation fault) via recursive method calls.

The odbc_bindcols function in ext/odbc/php_odbc.c in PHP before 5.6.12 mishandles driver behavior for SQL_WVARCHAR columns, which allows remote attackers to cause a denial of service (application crash) in opportunistic circumstances by leveraging use of the odbc_fetch_array function to access a certain type of Microsoft SQL Server table.

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 `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.

Multiple vulnerabilities in the implementation of the Common Industrial Protocol (CIP) feature in Cisco IOS 12.4 through 15.6 could allow an unauthenticated, remote attacker to cause an affected device to reload, resulting in a denial of service (DoS) condition. The vulnerabilities are due to the improper parsing of crafted CIP packets destined to an affected device. An attacker could exploit these vulnerabilities by sending crafted CIP packets to be processed by an affected device. A successful exploit could allow the attacker to cause the affected device to reload, resulting in a DoS condition. Cisco Bug IDs: CSCuz95334.