A malformed discovery packet sent by a malicious actor with preexisting access to the network could interrupt the functionality of device management and discovery. Affected Products: UniFi Access Points UniFi Switches UniFi LTE Backup UniFi Express (Only Mesh Mode, Router mode is not affected) Mitigation: Update UniFi Access Points to Version 6.6.55 or later. Update UniFi Switches to Version 6.6.61 or later. Update UniFi LTE Backup to Version 6.6.57 or later. Update UniFi Express to Version 3.2.5 or later.
An Improper Input Validation vulnerability could allow a malicious actor with access to the UniFi Play network to cause the device to stop responding. Affected Products: UniFi Play PowerAmp (Version 1.0.35 and earlier) UniFi Play Audio Port (Version 1.0.24 and earlier) Mitigation: Update UniFi Play PowerAmp to Version 1.0.38 or later Update UniFi Play Audio Port to Version 1.1.9 or later
Denial of Service attack in airMAX < 8.3.2 , airMAX < 6.0.7 and EdgeMAX < 1.9.7 allow attackers to use the Discovery Protocol in amplification attacks.
Ubiquiti EdgeMAX devices before 2.0.3 allow remote attackers to cause a denial of service (disk consumption) because *.cache files in /var/run/beaker/container_file/ are created when providing a valid length payload of 249 characters or fewer to the beaker.session.id cookie in a GET header. The attacker can use a long series of unique session IDs.
A heap overflow vulnerability found in EdgeRouters and Aircubes allows a malicious actor to interrupt UPnP service to said devices.
An issue was discovered in UniFi Protect G3 FLEX Camera Version UVC.v4.30.0.67. Attackers can use slowhttptest tool to send incomplete HTTP request, which could make server keep waiting for the packet to finish the connection, until its resource exhausted. Then the web server is denial-of-service.
A vulnerability classified as critical has been found in Ubiquiti EdgeRouter X up to 2.0.9-hotfix.6. This affects an unknown part of the component Web Service. The manipulation leads to denial of service. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. The associated identifier of this vulnerability is VDB-227655.
UniFi Protect before v1.17.1 allows an attacker to use spoofed cameras to perform a denial-of-service attack that may cause the UniFi Protect controller to crash.
An issue was discovered in UniFi Protect G3 FLEX Camera Version UVC.v4.30.0.67.Attacker could send a huge amount of TCP SYN packet to make web service's resource exhausted. Then the web server is denial-of-service.
A malicious actor with access to the network and low privileges could exploit an Improper Input Validation vulnerability found in UniFi OS to execute a Command Injection on the host device.
A malicious actor with access to the network and low privileges could exploit an Improper Input Validation vulnerability found in UniFi Access Application to execute a Command Injection on the host device.
A malicious actor with access to the network and low privileges could exploit an Improper Input Validation vulnerability found in certain devices running UniFi OS to execute a Command Injection within such UniFi OS devices or instances.
A malicious actor with access to the network and low privileges could exploit an Improper Input Validation vulnerability found in certain devices running UniFi OS to escalate privileges within such UniFi OS devices or instances.
A malicious actor with access to the network and low privileges could exploit an Improper Input Validation vulnerability found in UID Enterprise Agent to execute a Command Injection on the host device.
An injection vulnerability exists in a third-party library used in UniFi Network Version 6.5.53 and earlier (Log4J CVE-2021-44228) allows a malicious actor to control the application.
A malicious actor with access to the network could exploit an Improper Input Validation vulnerability found in UniFi OS devices to execute a Command Injection.
A malicious actor with access to the network and high privileges could exploit an Improper Input Validation vulnerability found in UniFi OS devices to execute a Command Injection.
An Improper Input Validation vulnerability in UniFi Network Server may allow unauthorized access to an account if the account owner is socially engineered into clicking a malicious link. Affected Products: UniFi Network Server (Version 10.1.85 and earlier) Mitigation: Update UniFi Network Server to Version 10.1.89 or later.
A series of Improper Input Validation vulnerabilities could allow a Command Injection by a malicious actor with access to the UniFi Play network. Affected Products: UniFi Play PowerAmp (Version 1.0.35 and earlier) UniFi Play Audio Port (Version 1.0.24 and earlier) Mitigation: Update UniFi Play PowerAmp to Version 1.0.38 or later Update UniFi Play Audio Port to Version 1.1.9 or later
An Improper Input Validation in certain UniFi Access devices could allow a Command Injection by a malicious actor with access to UniFi Access management network. Affected Products: UniFi Access Reader Pro (Version 2.14.21 and earlier) UniFi Access G2 Reader Pro (Version 1.10.32 and earlier) UniFi Access G3 Reader Pro (Version 1.10.30 and earlier) UniFi Access Intercom (Version 1.7.28 and earlier) UniFi Access G3 Intercom (Version 1.7.29 and earlier) UniFi Access Intercom Viewer (Version 1.3.20 and earlier) Mitigation: Update UniFi Access Reader Pro Version 2.15.9 or later Update UniFi Access G2 Reader Pro Version 1.11.23 or later Update UniFi Access G3 Reader Pro Version 1.11.22 or later Update UniFi Access Intercom Version 1.8.22 or later Update UniFi Access G3 Intercom Version 1.8.22 or later Update UniFi Access Intercom Viewer Version 1.4.39 or later
An Improper Input Validation in EdgeMAX EdgeSwitch (Version 1.10.4 and earlier) could allow a Command Injection by a malicious actor with access to EdgeSwitch adjacent network.
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.
A vulnerability has been identified in SIMATIC S7-400 CPU 412-1 DP V7 (All versions), SIMATIC S7-400 CPU 412-2 DP V7 (All versions), SIMATIC S7-400 CPU 414-2 DP V7 (All versions), SIMATIC S7-400 CPU 414-3 DP V7 (All versions), SIMATIC S7-400 CPU 414-3 PN/DP V7 (All versions < V7.0.3), SIMATIC S7-400 CPU 414F-3 PN/DP V7 (All versions < V7.0.3), SIMATIC S7-400 CPU 416-2 DP V7 (All versions), SIMATIC S7-400 CPU 416-3 DP V7 (All versions), SIMATIC S7-400 CPU 416-3 PN/DP V7 (All versions < V7.0.3), SIMATIC S7-400 CPU 416F-2 DP V7 (All versions), SIMATIC S7-400 CPU 416F-3 PN/DP V7 (All versions < V7.0.3), SIMATIC S7-400 CPU 417-4 DP V7 (All versions), SIMATIC S7-400 CPU 412-2 PN V7 (All versions < V7.0.3), SIMATIC S7-400 H V4.5 and below CPU family (incl. SIPLUS variants) (All versions), SIMATIC S7-400 H V6 CPU family (incl. SIPLUS variants) (All versions < V6.0.9), SIMATIC S7-400 PN/DP V6 and below CPU family (incl. SIPLUS variants) (All versions), SIMATIC S7-410 CPU family (incl. SIPLUS variants) (All versions < V8.2.1), SIPLUS S7-400 CPU 414-3 PN/DP V7 (All versions < V7.0.3), SIPLUS S7-400 CPU 416-3 PN/DP V7 (All versions < V7.0.3), SIPLUS S7-400 CPU 416-3 V7 (All versions), SIPLUS S7-400 CPU 417-4 V7 (All versions). Specially crafted packets sent to port 102/tcp via Ethernet interface, via PROFIBUS, or via Multi Point Interfaces (MPI) could cause the affected devices to go into defect mode. Manual reboot is required to resume normal operation. Successful exploitation requires an attacker to be able to send specially crafted packets to port 102/tcp via Ethernet interface, via PROFIBUS or Multi Point Interfaces (MPI). No user interaction and no user privileges are required to exploit the security vulnerability. The vulnerability could allow causing a denial of service condition of the core functionality of the CPU, compromising the availability of the system.
A prototype pollution attack in cached-path-relative versions <=1.0.1 allows an attacker to inject properties on Object.prototype which are then inherited by all the JS objects through the prototype chain causing a DoS attack.
The merge.recursive function in the merge package <1.2.1 can be tricked into adding or modifying properties of the Object prototype. These properties will be present on all objects allowing for a denial of service attack.
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.
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).
jshamcrest is vulnerable to regular expression denial of service (ReDoS) when certain types of user input is passed in to the emailAddress validator.
A vulnerability has been identified in SICAM PAS/PQS (All versions < V7.0), SICAM PAS/PQS (All versions >= 7.0 < V8.06). Affected software does not properly validate the input for a certain parameter in the s7ontcp.dll. This could allow an unauthenticated remote attacker to send messages and create a denial of service condition as the application crashes. At the time of assigning the CVE, the affected firmware version of the component has already been superseded by succeeding mainline versions.
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.
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.
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.
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.
python before versions 2.7.15, 3.4.9, 3.5.6rc1, 3.6.5rc1 and 3.7.0 is vulnerable to catastrophic backtracking in pop3lib's apop() method. An attacker could use this flaw to cause denial of service.
An issue was discovered in the America's Army Proving Grounds platform for the Unreal Engine. With a false packet sent via UDP, the application server responds with several bytes, giving the possibility of DoS amplification, even being able to be used in DDoS attacks.
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. 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.
ansi2html is vulnerable to regular expression denial of service (ReDoS) when certain types of user input is passed in.
vLLM versions >= 0.10.2 and < 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed (negative or out-of-bounds) tensor indices, when the prompt-embeds feature is enabled, to trigger crashes or resource exhaustion (denial of service), with potential for out-of-bounds/write-what-where memory corruption. This continues CVE-2025-62164, whose prior fix only disabled the feature by default rather than addressing the root cause.
A flaw was found in knot-resolver before version 2.3.0. Malformed DNS messages may cause denial of service.
The crypto_xmit function in ntpd in NTP 4.2.x before 4.2.8p4, and 4.3.x before 4.3.77 allows remote attackers to cause a denial of service (crash) via crafted packets containing particular autokey operations. NOTE: This vulnerability exists due to an incomplete fix for CVE-2014-9750.
The cat6000-dot1x component in Cisco IOS 12.2 before 12.2(33)SXI7 does not properly handle (1) a loop between a dot1x enabled port and an open-authentication dot1x enabled port and (2) a loop between a dot1x enabled port and a non-dot1x port, which allows remote attackers to cause a denial of service (traffic storm) via unspecified vectors that trigger many Spanning Tree Protocol (STP) Bridge Protocol Data Unit (BPDU) frames, aka Bug ID CSCtq36327.
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.
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. 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.
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.
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.
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.
The ntpd client in NTP 4.x before 4.2.8p4 and 4.3.x before 4.3.77 allows remote attackers to cause a denial of service via a number of crafted "KOD" messages.
The crypto_xmit function in ntpd in NTP 4.2.x before 4.2.8p4, and 4.3.x before 4.3.77 allows remote attackers to cause a denial of service (crash). NOTE: This vulnerability exists due to an incomplete fix for CVE-2014-9750.