RAVEN: Agentic RAG for Automated Vulnerability Repair

Automated vulnerability repair has emerged as a promising direction to mitigate the growing number of software vulnerabilities. Recent advances in Large Language Models LLMs have further accelerated research in automated repair. However, existing frameworks remain largely restricted to...

One-Prompt Censorship Evasion Via Generative Diffusion Models

The escalating arms race between Internet censorship and evasion has driven censors to evolve from static rule-based filtering to sophisticated deep learning-based traffic analysis. While recent automated evasion tools have attempted to counter this by leveraging stochastic search and programmabl...

DejaVu: Why You Should Write to Your DRAM Rows Twice, Carefully

We provide the first experimental demonstration of DejaVu, a phenomenon where the data previously written to DRAM cells affects DRAM's vulnerability to read disturbance. Our experimental characterization using 112 COTS DDR4 DRAM chips from all three major manufacturers shows that, compared to the...

Revelio: Cost-Efficient Agentic Memory Safety Vulnerability Detection for Repository-Scale Codebases

Memory safety vulnerabilities remain a significant threat even for projects with extensive fuzzing and manual auditing. Recent results suggest that large language models hold great promise for detecting such vulnerabilities, but they are unreliable, at risk of hallucination, and challenging to...

Investigating the Security of Modern AI and Cloud Infrastructure

The widespread deployment of Deep Neural Networks and Large Language Models LLMs relies on a foundational assumption of isolation that this dissertation challenges. This work systematically deconstructs security assumptions around AI and modern cloud infrastructure through a taxonomy of interacti...

TRACE: A Threat Modelling Methodology for Distributed, Cloud-First, and Decentralized Organisations

Established threat modelling methodologies STRIDE, PASTA, Trike, OCTAVE, LINDDUN, attack trees, and adversary-behaviour catalogues such as MITRE ATT&CK were designed for software products and enterprises with a discernible security perimeter, a single owning organisation, and a clean separation...

AgentRiskBOM: A Risk-Scoping Security Bill of Materials for Agentic AI Systems

Agentic AI systems retrieve private context, invoke tools, write files, call external services, coordinate with other agents, and may act without human approval. Existing bill of materials artifacts improve transparency for dependencies, model metadata, and training provenance, but leave an agent...

TOTOLink N300RH Endpoint Scanner

This Metasploit auxiliary module is a safe scanner designed to detect TOTOLINK N300RH devices by identifying web interface fingerprints. It checks for indicators like TOTOLINK or N300RH in HTTP responses and verifies whether the setWiFiBasicConfig CGI endpoint is accessible...

A Longitudinal Study of Android Apps Signing Key Protection

Android app signing relies on developer-managed credentials, making secure key protection essential for the integrity of the software supply chain. A recent platform key leakage incident involving two major OEM manufacturers demonstrates that even robustly designed signing mechanisms can be...

Veno File Manager 4.4.9 Logs Export Checker

This is a Metasploit auxiliary module used for security testing of Veno File Manager that checks whether the log export endpoint is accessible without authentication...

Joplin Plugin Persistence

This Metasploit module installs a malicious Joplin plugin .jpl into the targets Joplin plugin directory. The plugin executes the payload each time Joplin is launched, providing persistent code execution. Joplin can not be running at the time of plugin installation, or it will be overwritten at...

HOWLR: A Client-Driven Approach to BGP Hijack Detection

BGP hijacking enables impersonation attacks in which adversaries divert traffic at the prefix level and serve malicious content to unsuspecting clients. Detecting such attacks has traditionally been the responsibility of network operators, leaving end hosts exposed for hours. We argue that end...

A Hybrid, Multi-Layered Pipeline for Phishing and Threat Classification: Independently Validated URL and NLP Engines with a Calibrated Multi-Channel Fusion Stage

Phishing is a multi-modal threat. We present a hybrid pipeline that scores each modality with its own engine and fuses the results. Three engines are built, deployed, and independently benchmarked: a four-stage URL stack Domain Guard, lexical model, threat intelligence, and an asymmetric L2 fusio...

Veno File Manager 4.4.9 Access Control Scanner

This script performs basic checks against Veno File Manager to see if sensitive endpoints are exposed...

TLS Certificate Reuse Analyzer

Python-based TLS auditing utility that connects to multiple remote hosts, retrieves their presented TLS certificates, fingerprints each certificate, and compares those fingerprints to identify certificate reuse across systems. It also records basic TLS metadata such as protocol version, cipher...

YAMCS Authentication Endpoint Enumeration Script

A low-risk security assessment utility that identifies a YAMCS instance, queries version information, tests the OAuth authentication endpoint with invalid credentials, and observes how the server handles special characters in usernames. The script performs basic reconnaissance and input-validatio...

ARENA: An Architecture for Measuring the Transferability of Autonomous Cyber Defense

Operational evidence is not automatically scientific evidence. The most realistic Security Operations Center SOC data is production telemetry, yet it remains scientifically inaccessible because raw logs cannot be released; as a result, research relies on synthetic or dated datasets. We treat the...

CNnotator: LLM-Guided Memory Safety Annotation Synthesis

Memory safety errors account for a large proportion of security bugs in systems written in C; modern languages such as Java and Rust prevent such bugs because they are memory-safe by design. To migrate systems to safer languages or identify memory errors, we must first determine how legacy code...

From Production SIEM to Reusable Cybersecurity Artifacts

Operational evidence is not automatically scientific evidence. The most realistic Security Operations Center SOC data is production telemetry, yet it remains scientifically inaccessible because raw logs cannot be released; as a result, research relies on synthetic or dated datasets. We treat the...

Evaluating LLMs for Real-World Web Vulnerability Detection

Large Language Models LLMs have emerged as a promising tool for automated vulnerability detection, yet their effectiveness on web-specific vulnerabilities remains to be explored. This work benchmarks six frontier Claude Opus 4.6, Codex GPT-5.4, Gemini 3.1-pro-preview and open-weight models Qwen...

VS Code Extension Persistence Installer

This Python3 script acts as a persistence mechanism that creates and installs a custom VS Code extension designed to execute a specified operating system command whenever VS Code starts. The script generates a new extension, configures it to activate automatically, registers it with VS Code, and...

VS Code Extension Security Scanner

A local security auditing tool that scans installed VS Code, VS Code Insiders, VS Code Server, VS Code OSS, and Cursor extensions for potentially suspicious behaviors. The script enumerates extension directories, parses extension metadata, and flags extensions that automatically execute on startu...

TLS Monitoring – Certificate Baseline Tracking and Risk Scoring System

This is a Python-based TLS monitoring framework that performs certificate collection, baseline tracking, and configuration assessment for remote services. The tool records certificate fingerprints, TLS versions, cipher suites, key sizes, and validity periods, stores historical baselines in SQLite...

Analyzing Defensive Misdirection against Model-Guided Automated Attacks on Agentic AI Systems

Agentic AI systems increasingly rely on language-model components to interpret instructions, process external data, invoke tools, and coordinate with other agents. These capabilities make prompt-injection and jailbreak attacks more consequential, especially as attackers adopt model-guided...

D-Link DSL2600U Rule-Based IoT Intrusion Detection System

This is a IoT attack detection script that monitors HTTP request behavior to identify potentially malicious activity against devices such as routers or embedded systems...

Attacking Apple Display Co-Processor

While Apple's GPU architecture has received significant public scrutiny, the Display Co-Processor DCP remains a comparatively under-explored component despite its role in several high-profile iOS exploitation chains and jailbreaks. In this presentation, Ye Zhang examines the DCP from an attacker'...

Artificial Intelligence As Game Changer in Cybersecurity: What We Learned in 2025-2026, and How This Is Relevant for Africa

In 2025 and 2026, two events settled questions that had until then been speculative. In the first, a large language model executed the great majority of a state-aligned cyber-espionage campaign on its own, with human operators intervening at only a few decision points. In the second, the most...

Multi-View Decompilation for LLM-Based Malware Classification

Malware analysts often inspect compiled binaries through decompiled pseudo-C, when source code is unavailable. Recent work suggests that large language models LLMs can assist this process by classifying decompiled code as benign or malicious, but existing pipelines typically rely on a single...

Unquoted Service Path Detection and Remediation Tool for Windows

This PowerShell script is a comprehensive security auditing tool designed to detect and fix unquoted service path vulnerabilities in Windows services...

Joern 4.0.560

Joern is the bug hunter's workbench. With this tool, you can uncover attack surface, sloppy coding practices, and variants of known vulnerabilities using an interactive code analysis shell. Joern supports C, C++, LLVM bitcode, x86 binaries via Ghidra, JVM bytecode via Soot, and Javascript...

GNSS Spoofing Threat for V2X Communications

Global Navigation Satellite Systems GNSS constitute a core technology for delivering crucial positioning, navigation, and timing PNT services in the Vehicle-to-Everything V2X domain, where they are indispensable for generating Cooperative Awareness Messages CAM that uphold network reliability and...

American Fuzzy Lop plus plus 5.01c

Google's American Fuzzy Lop is a brute-force fuzzer coupled with an exceedingly simple but rock-solid instrumentation-guided genetic algorithm. afl++ is a superior fork to Google's afl. It has more speed, more and better mutations, more and better instrumentation, custom module support, etc...

LLM Agent Safety, Multi-Turn Red-Teaming, Jailbreak Benchmarks, Adversarial Robustness, Safety-Critical Systems

Large language model LLM agents are increasingly proposed as supervisory components for safety-critical systems, yet their robustness under sustained, adaptive adversarial pressure remains poorly characterized. We present NRT-Bench, a benchmark for multi-turn red-teaming of LLM agents acting as...

DISARM: Target Electronic Device Informed Mitigation of Software Runtime Side-Channel Vulnerabilities

Program runtime or timing attacks exploit variations in a program's execution times to extract sensitive information from the program e.g. encryption keys, sensitive variable data, intellectual property. State-of-the-art solutions to runtime side-channel attacks attempt to balance the execution...

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution

The growing reliance on pre-trained Machine Learning ML models has introduced new attack surfaces. Recent vulnerabilities demonstrate that malicious behavior can be embedded within model artifacts, often bypassing existing defenses. Current model-scanning solutions primarily rely on static,...

A Predictive Neural Network Architecture for Early Detection of Low-Rate Cyberattacks

Low-Rate Denial of Service LDoS attacks pose a significant challenge to IoT networks due to their subtle and prolonged nature, often evading traditional intrusion detection systems. This paper presents IDQS Intrusion Detection via QoS Prediction, a lightweight and proactive framework for early LD...

PUFFERDOS: Efficient and Effective Attack String Generation for Regular Expression Denial of Service Vulnerabilities

ReDoS attacks constitute a critical class of resource-exhaustion vulnerabilities. In such attacks, adversaries exploit the pathological worst-case execution behavior of regular expression regex engines to induce highly asymmetric computational workloads, ultimately exhausting system resources and...

OpenAnt: LLM-Powered Vulnerability Discovery through Code Decomposition, Adversarial Verification, and Dynamic Testing

Automated vulnerability discovery in large codebases remains challenging: traditional static analysis produces high false-positive rates, while dynamic approaches such as fuzzing require substantial infrastructure and often target narrow classes of bugs. Recent advances in large language models...

Joern 4.0.559

Joern is the bug hunter's workbench. With this tool, you can uncover attack surface, sloppy coding practices, and variants of known vulnerabilities using an interactive code analysis shell. Joern supports C, C++, LLVM bitcode, x86 binaries via Ghidra, JVM bytecode via Soot, and Javascript...

PYPILINE: Malicious PyPI Package Detection Via Suspicious API Knowledge and Agent Workflow

The detection of malicious PyPI packages is crucial for maintaining the security of the open source software supply chain. Existing methods, which primarily rely on rules or traditional machine learning, suffer from poor interpretability and difficulty in adapting to novel attacks. To address thi...

Discuz! X5.0 Plugin Access Control Checker

This Metasploit module checks whether the enabledisable.php endpoint is accessible without proper authentication in Discuz! X5.0. It does not exploit any vulnerability...

A Layered Security Framework against Prompt Injection in RAG-Based Chatbots

Prompt injection is ranked as the most critical vulnerability in large language model LLM deployments by the OWASP Top 10 for LLM Applications, yet existing defenses operate at isolated pipeline stages and remain incomplete. Input filters cannot inspect retrieved documents, while output monitors...

PhantomSkill: Malicious Code Injection in Agent Skill Ecosystems

Agent skills allow LLM-based coding agents to acquire domain-specific capabilities from third-party packages, but they also introduce a new supply-chain attack surface. We present PhantomSkill, an attack framework that hides malicious behavior in a skill's auxiliary resources rather than in its...

FERRUM Windows Auditor

Ferrum is a Windows security research toolkit for local privilege escalation, persistence, COM hijacking, and attack surface enumeration. It is a Windows-first vulnerability research and security auditing framework written in Go. It is designed as a single binary, ferrum.exe, with modules...

Compute-Budgeted Exploitability Evidence Graphs for Prospective Vulnerability Triage

Defenders cannot patch every newly disclosed vulnerability at once, so exploitability prediction must be evaluated prospectively rather than retrospectively. We study compute-budgeted vulnerability triage in which each CVE is scored only from public evidence visible by a fixed decision time...

Google Pixel CPIF Driver Out-Of-Bounds Read / Write

The CPIF driver on Google Pixel has issues in linkreadgnssimage and linkloadgnssimage that lead to kernel out-of-bounds read and write from userland...

Slate Digital Connect 1.37.0 Local Privilege Escalation

Slate Digital Connect for macOS version 1.37.0 suffers from multiple local privilege escalation vulnerabilities...

Children Are Not the Enemy: Child-Fit Security As an Alternative to Bans and Surveillance

Digital technologies are now central to children's learning, play, communication, identity formation, and social participation. Yet dominant approaches to children's online safety often rely on containment mechanisms, including bans, age gates, parental controls, monitoring, and screen-time...

Agentra: A Supervisable Multi-Agent Framework for Enterprise Intrusion Response

Enterprise intrusion response still depends on static playbooks and analyst-driven triage, creating delay between alert generation and containment. We present Agentra, a supervisable multi-agent Intrusion Response System IRS framework that converts alerts from IDS, EDR, and XDR platforms into...

Code-Augur: Agentic Vulnerability Detection Via Specification Inference

The advent of agentic vulnerability detection is already becoming a watershed moment for software security. Audits conducted entirely by autonomous LLM agents are uncovering critical vulnerabilities in fundamental software underpinning digital society. Many of these vulnerabilities remained maske...