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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

Apache 2.4.66 HTTP/2 mod_http2 Double-Free Denial of Service

This script is a multi-mode security tool that triggers a denial of service against Apache HTTP Server version 2.4.66 related to a double-free condition in HTTP/2 handling...

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...

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...

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...

AnyDesk 9.7.5 Unquoted Service Path

AnyDesk version 9.7.5 unquoted service path privilege escalation to SYSTEM exploit...

Confident yet Concerned: Inconsistencies in Computing Students' Attitudes on Cybersecurity

Today's young adults are most immersed in technology, leading in feelings of powerlessness in managing online privacy across many platforms, and particularly susceptible to phishing attacks. This raises questions about their general, wide-ranging attitudes towards and management of cybersecurity...

ShellGames: Speculative LLM-Driven SSH Deception

Cyber deception and Moving Target Defense are promising strategies that aim to disrupt adversaries by increasing uncertainty. However, sustaining long-lived, credible interactive sessions with adversaries remains an open challenge. Large Language Models LLMs offer a promising path toward more...

Anywhere, Any-Stymie: Remote Activation of Trojan Malware on LiDAR with Modulated Signals

LiDAR sensors are widely deployed in autonomous systems for 3D perception and safety-critical decision-making. We identify a previously unexplored attack surface in which dormant malware embedded in the LiDAR sensing pipeline remains inactive during normal operation and can be externally triggere...

A Red-Team Study of Anthropic Fable 5 and Opus 4.8 Models

We evaluate the adversarial robustness of two frontier large language models LLMs developed by Anthropic, Fable 5 and Opus 4.8, against four families of automated jailbreak attack across 7 826 harmful intents spanning a ten-category harm taxonomy. Using the HackAgent red-teaming framework, hundre...

Wertheim SafeController Hardware for VAULT ROOMS Missing Crypto / Insufficient TLS

Wertheim SafeController Hardware for VAULT ROOMS suffers from a lack of cryptographic protection, insufficient TLS encryption, and an undisclosed vulnerability. Affected versions include the Controller 65000 with AssemblyVersion 6.11.8130.22319 and Controller 5400 with AssemblyVersion...

ARES: A Platform for Adaptive Role-Based Evaluation of Social Engineering Risks in Human--AI Games

This work introduces ARES, a platform and open pilot dataset for auditing adaptive social engineering risks in LLM-mediated social decision-making through controlled social games. ARES supports human--human, human--AI, and AI--AI settings, combining configurable game templates, role-conditioned L...

SNAS: A Multi-Layer Defense-In-Depth Architecture for Secure Egress in Sandboxed Workloads

Snowpark enables data engineering and AI/ML workloads in Snowflake by executing user-defined functions in secure sandboxes. Many of these workloads require external connectivity to access cloud APIs, external databases, or feature stores, creating a dependability challenge: how to provide...

AI Sandboxes: A Threat Model, Taxonomy, and Measurement Framework

AI systems are increasingly evaluated in bounded environments that combine isolation, simulation, instrumentation, supervision, and evidence capture. For physical AI, AIoT, and cyber-physical systems, this shift is not a matter of terminology: the system under test may sense, decide, actuate,...

Is It Real? Exploiting Virtual-Physical Discrimination Vulnerability in Mixed Reality

Consumer mixed reality MR headsets seamlessly blend virtual content into physical environments with sufficient fidelity that users may be unable to distinguish virtual objects from physical ones. We identify this virtual-physical discrimination vulnerability as an exploitable security primitive...

An AI Security Agent for Banking: Multi-Vector Fraud and AML Detection across Retail and Corporate Accounts

Banks simultaneously face signature-based fraud card-not-present attacks, account takeover, ATM cloning and behavioural financial crime structuring, layering, mule networks, business email compromise -- two threat families with fundamentally different detection requirements. Static rule engines...

Apache 2.4.66 HTTP/2 mod_http2 Web Server Fingerprinting / Risk Checker

Simple python script that extracts a webserver version and notes if it's Apache 2.4.66 or if the version isn't disclosed...

TGCM: Topic-Guided Generative Disentanglement of Interleaved APT Technique Sequences

In enterprise environments, multiple Advanced Persistent Threat APT campaigns often unfold concurrently, producing audit logs in which attack techniques across actors sources are interleaved over time. This setting naturally gives rise to an Unknown-K Interleaved Sequence Demixing UKISD problem:...

Scalable Malware Family Classification Using Quantum Kernel Based Machine Learning

The classification of malware families is a key challenge in cybersecurity, which enables threat attribution, analysis of attack operations, and the formulation of effective defense strategies. Emerging malware samples are becoming increasingly structurally similar and obfuscated, making accurate...

A Data-Driven Security Quantification Framework for IoT-Based Systems

The Internet of Things IoT is integral to modern cyber-physical systems. Quantitative cybersecurity assessment in IoT environments remains challenging due to heterogeneous system architectures, evolving threat landscapes, and the limited availability of reliable probabilistic exploitability data...

SPARK: Security Knowledge Priming and Representation-Guided Knowledge Activation for LLM-Based Secure Code Generation

Large language models routinely generate code with exploitable security flaws. Prior literature attributes this limitation to a lack of security expertise, steering current defense mechanisms toward heavy fine-tuning or external knowledge retrieval, which introduces significant computational...

From Third-Party to First-Party: Measuring and Protecting against Modern Web Tracking Mechanisms

Web user tracking has always been a cat-and-mouse game between privacy-conscious users and trackers. Recently, this conflict has driven a shift from third-party tracking toward first-party tracking FPT and server-side tracking SST. By relocating tracking logic to the browser's first-party context...

FreeType Glyph Parallel Range Scanner for Font Parsing Stability Testing

This Python tool performs automated glyph parsing validation across a configurable range of glyph indices within a font file using FreeType bindings. It loads the target font, extracts metadata such as family name, style, and glyph count, then iteratively tests glyph loading operations using...