OWASP LLM Top 10 2026: Every Move Points the Same Direction

This is Post 4 of a four-part series: Post 1: Agentic AI Security: The Chatbot Era Is Over Post 2: Generative AI Security: Why AI Needs a New Kind of Security Post 3: The OWASP LLM Top 10 Was the Warm-Up: What Comes Next The 2026 edition of the the OWASP Top 10 for LLM Applications, published by...

Xalgorix Autonomous AI Pentesting Agent 4.6.92

Most scanners detect. Xalgorix proves. An autonomous LLM agent works a full pentest methodology, then an independent verifier re-exploits every finding before it's reported - so you get proof, not a pile of maybes to triage. Self-hosted, private, and bring-your-own-LLM. Built in Go + TypeScript...

Calibrated Decision Models for Autonomous Penetration-Testing Harnesses: JEV and Laya As System One Decision Layers for LLM-Driven Pentest Agents

Autonomous penetration-testing harnesses use large language models LLMs for reconnaissance, exploitation, and reporting, but often rely on those same models to confirm findings, grade severity, and select agents. This can lead to false positives, inflated severity, and wasted compute. We examine...

Persistent Billable State: Denial-Of-Wallet Attacks and Defenses in Tool-Calling LLM Agents

Multi-step tool-calling LLM agents rely on host runtimes to preserve state across turns. When a runtime carries an external tool return into later model inputs, providers meter it again. An admitted malicious or compromised tool can thereby convert untrusted data into recurring victim-billed...

Automated Extraction of Records of Processing Activities (RoPA) Using Hybrid RAG and Locally Deployed Large Language Models

Vietnam's Personal Data Protection Law Law No. 91/2025/QH15 and Decree No. 356/2025/ND-CP, effective January 1, 2026, require organizations to establish and maintain Records of Processing Activities RoPA. Manual RoPA preparation is labor-intensive, while cloud-hosted large language models LLMs ma...

On the Effectiveness of Kernel-Level Evidence for Agent Security

LLM agents are deployed into infrastructure that grants them broad host authority, yet existing agent-security benchmarks and defenses operate almost exclusively at the application telemetry layer: the served tool manifest, the user prompt, and the model's messages. Some threats, however, smuggle...

NPM: 9Router has an Authentication Bypass in Public LLM API via Spoofable X-9r-Real-Ip Header

NPM: 9Router has an Authentication Bypass in Public LLM API via Spoofable X-9r-Real-Ip Header vulnerability discovered by ? in WordPress Npm 9router versions = 0.5.4...

9Router has an Authentication Bypass in Public LLM API via Spoofable X-9r-Real-Ip Header

Summary 9router determines whether an incoming request originates from localhost by trusting the X-9r-Real-Ip HTTP request header. This header is intended to be produced and sanitized exclusively by the bundled custom-server.js layer from the TCP socket address. In deployment modes where requests...

CVE-2026-56681

9Router is an AI router & token saver. Prior to 0.5.6, 9Router deployments that allow requests to reach Next.js without the sanitizing custom-server.js wrapper trust the client-supplied X-9r-Real-Ip header in src/dashboardGuard.js when isLocalRequest decides whether canAccessPublicLlmApi may skip...

CVE-2026-56681 9Router: Authentication Bypass in Public LLM API via Spoofable X-9r-Real-Ip Header

9Router is an AI router & token saver. Prior to 0.5.6, 9Router deployments that allow requests to reach Next.js without the sanitizing custom-server.js wrapper trust the client-supplied X-9r-Real-Ip header in src/dashboardGuard.js when isLocalRequest decides whether canAccessPublicLlmApi may skip...

EUVD-2026-84541

9Router is an AI router & token saver. Prior to 0.5.6, 9Router deployments that allow requests to reach Next.js without the sanitizing custom-server.js wrapper trust the client-supplied X-9r-Real-Ip header in src/dashboardGuard.js when isLocalRequest decides whether canAccessPublicLlmApi may skip...

CVE-2026-56681 9Router: Authentication Bypass in Public LLM API via Spoofable X-9r-Real-Ip Header

9Router is an AI router & token saver. Prior to 0.5.6, 9Router deployments that allow requests to reach Next.js without the sanitizing custom-server.js wrapper trust the client-supplied X-9r-Real-Ip header in src/dashboardGuard.js when isLocalRequest decides whether canAccessPublicLlmApi may skip...

SR-Fraud: An Outcome-Supervised Reflective LLM Agent Framework for Non-Stationary Payment Fraud Detection

Real-time payment fraud detection is a non-stationary streaming prediction problem: adversaries adapt before supervised labels mature, and localized burst attacks can cause losses before retraining. Production systems typically rely on tabular classifiers and rules, which can struggle to capture...

Stage-Supervised Latent Reasoning for Single-Shot JavaScript Deobfuscation

JavaScript obfuscation is widely used to protect code, but it also makes program analysis and security review substantially harder. Existing LLM-based deobfuscation methods usually treat the task as one-step translation, ignoring the staged structure of practical deobfuscation pipelines. This WIP...

PT-2026-96820

Name of the Vulnerable Software and Affected Versions 9Router versions prior to 0.5.6 Description Deployments that allow requests to reach Next.js without the sanitizing custom-server.js wrapper trust the client-supplied X-9r-Real-Ip header. In src/dashboardGuard.js, the isLocalRequest function...

Rouxii: Exploiting Honeypots with Deception-Aware AI Pentesters

Honeypots are designed to deceive attackers, and recent work shows they can also derail autonomous LLM-based pentesters. These evaluations, however, largely consider attackers unaware of the deception they face. We study the opposite setting: an autonomous attacker explicitly equipped to recogniz...

Kubernetes Misconfigurations in the Wild: Taxonomy, Evolution, and Automated Repair with Large Language Models

Kubernetes is widely used to orchestrate cloud-native applications, yet its declarative configuration model often introduces security misconfigurations that threaten system reliability. Despite available detection tools, misconfiguration patterns and scalable remediation remain insufficiently...

Metrics Failure in LLM-Based Code Vulnerability Repair: An Empirical Study and a Change-Aware Screen

Large language models LLMs are increasingly applied to the automated repair of C/C++ security vulnerabilities, and compile rate is a commonly reported proxy for progress: whether the generated patch compiles. We argue that compile rate is a scientifically unreliable metric for single-function...

ACTS: A Multi-Tier Benchmark Evaluating LLM Cipher Identification under Controlled Blind Conditions

We introduce ACTS Artifacts in Cipher Testing Suite, a reproducible benchmark that isolates cryptanalytic ability through tiered metadata deprivation Tier-1: full metadata; Tier-2: filename only; Tier-3: completely blind and tests forced reasoning Tier-5: chain-of-thought, code-as-reasoning,...

The like Trap: Multi-Stage Poisoning against Agents in Similarity-Based Recommendation Systems

With recent advancements in large language models LLMs and LLM-based agents, these agents are becoming increasingly autonomous and gaining broader access to act on users' behalf on the internet. However, the vulnerability of automated agents deployed on social media platforms e.g., for managing a...