CVE-2026-1718 IBM® Db2® is vulnerable to a denial of service with a specially crafted query when running an AUTONOMOUS procedure

IBM Db2 11.5.0 through 11.5.9, and 12.1.0 through 12.1.4 is vulnerable to a denial of service with a specially crafted query when autonomous transactions are enabled...

CVE-2026-1718 IBM® Db2® is vulnerable to a denial of service with a specially crafted query when running an AUTONOMOUS procedure

IBM Db2 11.5.0 through 11.5.9, and 12.1.0 through 12.1.4 is vulnerable to a denial of service with a specially crafted query when autonomous transactions are enabled...

PT-2026-43695

Name of the Vulnerable Software and Affected Versions IBM Db2 versions 11.5.0 through 11.5.9 IBM Db2 versions 12.1.0 through 12.1.4 Description A denial of service can occur when autonomous transactions are enabled. This is triggered by the execution of a specially crafted query. Recommendations ...

CVE-2026-1718: Allocation of Resources Without Limits or Throttling

IBM Db2 11.5.0 through 11.5.9, and 12.1.0 through 12.1.4 is vulnerable to a denial of service with a specially crafted query when autonomous transactions are enabled...

IBM Db2 安全漏洞

IBM Db2 is a relational database management system developed by IBM. Versions 11.5.0 to 11.5.9 and 12.1.0 to 12.1.4 of IBM Db2 contain security vulnerabilities. These vulnerabilities arise from specially crafted queries when autonomous transactions are enabled, which may lead to denial-of-service...

The Importance of Out-Of-Band Metadata for Safe Autonomous Agents: The Redpanda Agentic Data Plane

AI agents are increasingly expected to operate as digital employees: accessing enterprise data, making decisions, and taking actions autonomously. But agents are simultaneously less predictable than humans -- prone to hallucination, misinterpretation, and adversarial manipulation -- and more...

PT-2026-43310

Name of the Vulnerable Software and Affected Versions FastNetMon Community Edition versions prior to 1.2.10 Description An integer overflow exists in the BGP AS PATH attribute encoder. The IPv4UnicastAnnounce::get attributes function calculates the attribute length and stores it in a uint8 t fiel...

CVE-2026-48691

FastNetMon Community Edition through 1.2.9 contains an integer overflow in the BGP ASPATH attribute encoder. In src/bgpprotocol.hpp, the IPv4UnicastAnnounce::getattributes function computes attributelength as 'sizeofbgpaspathsegmentelementt + this-aspathasns.size sizeofuint32t' and stores it in a...

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NETSEC-AGENT Autonomous AI Penetration Testing Terminal —...

Security of OpenClaw Agents: Fundamentals, Attacks, and Countermeasures

The rapid evolution of large language model LLM-driven autonomous agents has given rise to OpenClaw, a new class of open-source agent frameworks that operate as continuously running, skill-augmented systems with persistent memory, multi-channel interaction, and high degrees of autonomy. Such...

Security Bulletin: IBM® Db2® is vulnerable to a denial of service with a specially crafted query when running an AUTONOMOUS procedure (CVE-2026-1718)

Summary IBM® Db2® is vulnerable to a denial of service with a specially crafted query when autonomous transactions are enabled. Vulnerability Details CVEID:CVE-2026-1718 DESCRIPTION: IBM Db2 is vulnerable to a denial of service with a specially crafted query when autonomous transactions are...

TriSweep: A Four-Drone Swarm Framework for Electromagnetic Side-Channel Analysis

Electromagnetic EM side-channel analysis traditionally assumes a stationary, close-proximity probe - a threat model that underestimates aerial adversaries. TriSweep is a simulation framework that designs and evaluates a four-drone swarm architecture for autonomous standoff EM-SCA of embedded...

IronCurtain 0.11.0

IronCurtain is an early-stage research project exploring how to make AI agents safe enough to be genuinely useful. It is a runtime for autonomous AI agents, where security policy is derived from a human-readable constitution. APIs, configuration formats, and architecture may change...

What Your Board Gets Wrong About AI Security

Editor's note: This article was originally published by Craig Riddell on LinkedIn. It has been republished here with the author's permission. Boards are giving AI security more airtime than ever. What they're not giving is the right framing. A year or two ago, AI was mostly a question of...

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AI Agents May Always Fall for Prompt Injections

Prompt injection is the most critical vulnerability in deployed AI agents. Despite recent progress, we show that the prevailing defense paradigm data-instruction separation both fails to detect attacks that operate through contextual manipulation and degrades contextually appropriate behavior. We...

A Red Teaming Framework for Evaluating Robustness of AI-Enabled Security Orchestration, Automation, and Response Systems

AI-enabled Security Orchestration, Automation, and Response SOAR systems increasingly employ autonomous agents for cyber defense, yet their resilience to adaptive adversaries is underexplored. We introduce an autonomous red teaming framework that integrates large language models LLMs with...

The Machine Found It First. The Machine Will Exploit It Next.

& For decades, the question behind every CVE has been "who found it, and how fast can attackers catch up?" As of May 12, 2026, the question has flipped. Machines found the bug. Machines will weaponize the next one. The race is no longer human-versus-human with a stopwatch. Discovery Discovery...

Defense in depth for autonomous AI agents

Designing Secure Autonomous AI Agents with Defense in Depth AI agents are moving beyond assistance and into action. Instead of generating content, they invoke tools, modify data, trigger workflows, and operate across systems with increasing autonomy. This shift changes the security problem...

Still Camouflage, Moving Illusion: View-Induced Trajectory Manipulation in Autonomous Driving

Existing physical adversarial attacks on vision-based autonomous driving induce time-evolving perception errors, including biased object tracking or trajectory prediction, through i sophisticated physical patch inducing detection box drift when entering the view distance, or ii dynamically changi...