CVE-2026-11346

A Server-Side Request Forgery SSRF vulnerability in the custom process creation feature of linqi allows an authenticated attacker to probe internal network components. By crafting a specific process containing an HTTP Request component, an attacker can force the server to send arbitrary HTTP...

BIT-ACTIVEMQ-2026-45505 Apache ActiveMQ Broker, Apache ActiveMQ All, Apache ActiveMQ: Jolokia `addNetworkConnector` Discovery Wrapper Bypass

Improper Input Validation, Improper Control of Generation of Code 'Code Injection' vulnerability in Apache ActiveMQ Broker, Apache ActiveMQ All, Apache ActiveMQ. Non-parenthesized discovery wrappers such as masterslave:vm://...,... and static:vm://... incorrectly pass validation allowing bypass o...

BIT-ACTIVEMQ-2026-42588 Apache ActiveMQ Broker, Apache ActiveMQ All, Apache ActiveMQ: Remote Code Execution via Jolokia addNetworkConnector

Improper Input Validation, Improper Control of Generation of Code 'Code Injection' vulnerability in Apache ActiveMQ Broker, Apache ActiveMQ All, Apache ActiveMQ. Apache ActiveMQ Classic exposes the Jolokia JMX-HTTP bridge at /api/jolokia/ on the web console. The default Jolokia access policy...

PT-2026-46932

A Server-Side Request Forgery SSRF vulnerability in the custom process creation feature of linqi allows an authenticated attacker to probe internal network components. By crafting a specific process containing an HTTP Request component, an attacker can force the server to send arbitrary HTTP...

Introducing the Wallarm AI Control Platform: One closed loop for AI security and API security.

TL;DR - AI deployment has outpaced AI governance. Most enterprises running AI on AWS cannot answer four basic security questions about what's running, what it's doing,how to stop it, and how to prove it's under control. - The Wallarm AI Control Platform closes this gap: one platform for Discover,...

Exploit for Exposure of Sensitive Information to an Unauthorized Actor in Microsoft

CVE-2026-33829 - Security Vulnerability Quick Usage ba...

wined

Windows Exploitation wined Tools The following scripts were...

ExploitBench AI Exploit Benchmark Tool

ExploitBench measures how far AI agents climb, from reaching vulnerable code, to triggering the bug, to building exploit primitives, to arbitrary code execution...

Devolutions Server < 2026.1.20 Multiple Vulnerabilities (DEVO-2026-0014)

The version of Devolutions Server installed on the remote host is prior to 2026.1.20. It is, therefore, affected by multiple vulnerabilities, including: - Improper access control in the PAM account discovery feature in Devolutions Server 2026.1.19 and earlier allows an authenticated user without...

WordPress JobSearch plugin <= 3.2.7 - Broken Access Control vulnerability

Broken Access Control vulnerability discovered by adhikara13 in WordPress Plugin JobSearch versions = 3.2.7...

RUSTSEC-2026-0171 `logflux` was removed from crates.io for malicious code

The logflux crate attempted to download and run a malicious payload on the user's machine. The malicious crate had 1 version published on 2026-04-26, approximately 1 month before removal, and had no evidence of actual usage. This crate had no dependencies on crates.io. Thanks to Paweł Bis for...

EUVD-2024-55607

Dräger Core 1.0.5 and Dräger M540 Converter Service 1.0.9 contain a denial of service vulnerability that allows network-adjacent attackers to trigger high CPU load by sending specially crafted, unencrypted SDC messages during the discovery process. Attackers with access to the hospital network ca...

CyberGym-E2E: Scalable Real-World Benchmark for AI Agents' End-To-End Cybersecurity Capabilities

AI has the potential to transform cybersecurity by enabling systems that can autonomously detect, analyze, and remediate software vulnerabilities. However, existing cybersecurity evaluations of AI systems are limited in scale or scope, and fail to capture the end-to-end lifecycle of real-world...

TeleHunt: A Framework and Tool for Efficient Cybercriminal Community Discovery on Telegram

This paper presents TeleHunt, a framework and tool for evaluating the effectiveness of different strategies to discover cybercriminal communities on Telegram. TeleHunt employs a set of reference-driven snowballing strategies, integrating message-level classification, contextual filtering, and...

CVE-2026-8036

creationtimestamp| type| source ---|---|--- 2026-06-02 23:46:06+00:00| seen| https://bsky.app/profile/cve.skyfleet.blue/post/3mndrozqits2m 2026-07-15 18:48:03+00:00| seen| https://bsky.app/profile/smit-artem.bsky.social/post/3mqpf3oytp72p...

CVE-2024-14036

Dräger Core 1.0.5 and Dräger M540 Converter Service 1.0.9 contain a denial of service vulnerability that allows network-adjacent attackers to trigger high CPU load by sending specially crafted, unencrypted SDC messages during the discovery process. Attackers with access to the hospital network ca...

CVE-2024-14036 Dräger Core 1.0.5 Denial of Service via Malformed SDC Message

Dräger Core 1.0.5 and Dräger M540 Converter Service 1.0.9 contain a denial of service vulnerability that allows network-adjacent attackers to trigger high CPU load by sending specially crafted, unencrypted SDC messages during the discovery process. Attackers with access to the hospital network ca...

CVE-2024-14036 Dräger Core 1.0.5 Denial of Service via Malformed SDC Message

Dräger Core 1.0.5 and Dräger M540 Converter Service 1.0.9 contain a denial of service vulnerability that allows network-adjacent attackers to trigger high CPU load by sending specially crafted, unencrypted SDC messages during the discovery process. Attackers with access to the hospital network ca...

CVE-2024-14036

Dräger Core 1.0.5 and Dräger M540 Converter Service 1.0.9 contain a denial of service vulnerability that allows network-adjacent attackers to trigger high CPU load by sending specially crafted, unencrypted SDC messages during the discovery process. Attackers with access to the hospital network ca...

CVE-2024-14036

Dräger Core 1.0.5 and Dräger M540 Converter Service 1.0.9 are affected by a denial-of-service vulnerability where specially crafted, unencrypted SDC discovery messages exhaust CPU resources. Network-adjacent attackers with hospital-network access can trigger high CPU load, causing subsequent SDC ...