84 matches found
CVE-2025-26466
CVE-2025-26466 CVE-2025-26466 的 PoC 作者：Fikret Can Gurbuz 使用方法 root@kitploit: python3 poc.py -i -p 步骤如下： 1. TCP 连接到端口 2. 接收服务器横幅（SSH-2.0-OpenSSHX.Xp1） 3. 发送客户端横幅（SSH-2.0-YourClient\r\n） 4. 发送 wrapsshpacketbuildkexinit 5. 接收服务器的 KEXINIT 响应 6. 循环发送 buildping ! 永远不要完成 KEX，因此 pong 响应将无限排队...
dotnet: SocketsHttpHandler Http2Connection - HTTP/2 SETTINGS/PING ACK flood causing OOM
.NET Denial of Service Vulnerability - HTTP/2 SETTINGS/PING ACK flood causing OOM...
dotnet: SocketsHttpHandler Http2Connection - HTTP/2 SETTINGS/PING ACK flood causing OOM
.NET Denial of Service Vulnerability - HTTP/2 SETTINGS/PING ACK flood causing OOM...
dotnet: SocketsHttpHandler Http2Connection - HTTP/2 SETTINGS/PING ACK flood causing OOM
.NET Denial of Service Vulnerability - HTTP/2 SETTINGS/PING ACK flood causing OOM...
dotnet: SocketsHttpHandler Http2Connection - HTTP/2 SETTINGS/PING ACK flood causing OOM
.NET Denial of Service Vulnerability - HTTP/2 SETTINGS/PING ACK flood causing OOM...
CVE-2026-50651
.NET Denial of Service Vulnerability - HTTP/2 SETTINGS/PING ACK flood causing OOM...
libcurl 8.16.0 < 8.21.0 WebSocket Auto-PONG Memory Exhaustion (CVE-2026-11586)
The version of libcurl installed on the remote host is 8.16.0 prior to 8.21.0. It is, therefore, affected by a denial of service vulnerability: - By default, curl automatically responds to WebSocket PING frames. Because curl lacks an upper bound on memory allocation for unacknowledged frames, a...
CVE-2026-11586
CVE-2026-11586 : curl is vulnerable to memory exhaustion via WebSocket PING handling. The description across sources states that curl automatically responds to WebSocket PING frames and lacks an upper bound on memory allocation for unacknowledged frames, enabling a malicious server to flood curl ...
CVE-2026-11586 WS Auto-PONG memory exhaustion
By default, curl automatically responds to WebSocket PING frames. Because curl lacks an upper bound on memory allocation for unacknowledged frames, a malicious server can exhaust all available memory by flooding curl with rapid, sequential PING messages...
curl: curl: Denial of Service via WebSocket PING flood
A flaw was found in curl. A malicious server can exploit this vulnerability by sending rapid, sequential WebSocket PING messages. Due to a lack of an upper bound on memory allocation for unacknowledged frames, curl can be forced to exhaust all available memory, leading to a denial of service...
curl: curl: Denial of Service via WebSocket PING flood
A flaw was found in curl. A malicious server can exploit this vulnerability by sending rapid, sequential WebSocket PING messages. Due to a lack of an upper bound on memory allocation for unacknowledged frames, curl can be forced to exhaust all available memory, leading to a denial of service...
CURL-CVE-2026-11586 WS Auto-PONG memory exhaustion
By default, curl automatically responds to WebSocket PING frames. Because curl lacks an upper bound on memory allocation for unacknowledged frames, a malicious server can exhaust all available memory by flooding curl with rapid, sequential PING messages...
dotnet: SocketsHttpHandler Http2Connection - HTTP/2 SETTINGS/PING ACK flood causing OOM
.NET Denial of Service Vulnerability - HTTP/2 SETTINGS/PING ACK flood causing OOM...
dotnet: SocketsHttpHandler Http2Connection - HTTP/2 SETTINGS/PING ACK flood causing OOM
.NET Denial of Service Vulnerability - HTTP/2 SETTINGS/PING ACK flood causing OOM...
Efacec QC 安全漏洞
Efacec QC is a series of electric vehicle chargers from Efacec Portugal. A security vulnerability exists in the Efacec QC 60/90/120 that stems from a large number of ICMP requests sent that could result in a denial of service to the charger board controlling the EV interface...
CVE-2022-50695
SOUND4 IMPACT/FIRST/PULSE/Eco versions 2.x contains a network vulnerability that allows unauthenticated attackers to send ICMP signals to arbitrary hosts through network command scripts. Attackers can abuse ping.php, traceroute.php, and dns.php to generate network flooding attacks targeting...
ReGAIN: Retrieval-Grounded AI Framework for Network Traffic Analysis
Modern networks generate vast, heterogeneous traffic that must be continuously analyzed for security and performance. Traditional network traffic analysis systems, whether rule-based or machine learning-driven, often suffer from high false positives and lack interpretability, limiting analyst...
A Novel Trust-Based DDoS Cyberattack Detection Model for Smart Business Environments
As the frequency and complexity of Distributed Denial-of-Service DDoS attacks continue to increase, the level of threats posed to Smart Internet of Things SIoT business environments have also increased. These environments generally have several interconnected SIoT systems and devices that are...
