Joern 4.0.595

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...

Paged Out! Magazine Issue 4

Paged Out! magazine issue 4 includes sections related to art, artificial intelligence, assembly, cryptography, demo scene, file formats, hardware, history, programming, retro stuff, reverse engineering, and security / hacking...

Vulnerability Detection in AArch64 Machine Code Using a Digital Twin

This paper proposes an explainable digital twin for vulnerability detection in AArch64 machine code without access to source code. The digital twin reproduces the concrete execution of a program and preserves the state of registers, processor flags, memory, and live allocated blocks. Each...

On the Performance of Malware Detection Classifiers Using Hardware Performance Counters

Malware detection using Hardware Performance Counters HPC has emerged as a promising solution to improve the security of computing systems as a complement to antivirus software. Hardware-based malware detectors HMD use Machine Learning ML classifiers to detect malicious application patterns. The...

From Chasing Ghosts to Missed Attacks: Perspectives and Perceptions of SOC Practitioners on LLM Integration, Risks, and Readiness

Security Operations Centers SOCs process large volumes of security events, requiring analysts to accurately detect and assess ongoing cyberattacks under time pressure. Recent advances in Large Language Models LLMs suggest potential benefits for security operations, yet their practical suitability...

Bending the Curve: Operational Cyber Epidemiology for Ransomware

Ransomware is often treated as a detection problem, but the most disruptive incidents behave more like outbreaks. A single foothold can spread through identities, administrative tools, and shared services while responders make time-critical decisions with incomplete visibility. This paper present...

Temporal Poisoning: Clean-Label Backdoors Via Event Redistribution in SNNs

Backdoor attacks on Spiking Neural Networks SNNs have primarily assumed dirty-label poisoning, in which triggered training samples are relabeled to an attacker-selected class. We study clean-label temporal poisoning, where a fixed timestamp transformation is applied only to the target-class...

Piggybacking on Perception: Stealthy Concurrent Audio Prompt Injections against Multimodal LLM Agents

Large Language Model LLM-driven multimodal agents are increasingly deployed to execute autonomous tasks via continuous audio interaction. While this paradigm enhances interaction naturalness, it introduces a critical yet under-explored attack surface, as audio inputs inevitably contain...

Statistically Secure Uncloneable Encryption of Arbitrary Messages

Unconditional uncloneable encryption of a single bit with efficient encryption and decryption is now possible. However, whether the extension to messages of arbitrary length achieves statistical security remains to be known. Using the fact that the encoding bases for the single-bit scheme known t...

CHARGE: Leveraging CWE Hierarchies for Hardware Security SystemVerilog Assertion Generation

This paper presents CHARGE, an automated framework for generating security properties for unverified RTL modules using CWEs and large language models LLMs. The hallmark is a reasoning process that leverages the hierarchical nature of CWE entries to improve accuracy when identifying...

FreeBSD Security Advisory - FreeBSD-SA-26:53.ktrace

FreeBSD Security Advisory - As an inadvertent side effect of an unrelated code change, PRIVKTRACE was always denied to a jailed root user. Tracing configured by a jailed root user was therefore not flagged as privileged...

FreeBSD Security Advisory - FreeBSD-SA-26:50.kqueue

FreeBSD Security Advisory - While the kernel was copying knotes during fork, a knote with a timer-based filter could fire and be enqueued on the kqueue's active list before the copy was complete. The copy routine did not account for this and could enqueue the new knote a second time, corrupting t...

A Structuration Approach to Theorizing Cybersecurity Practice: The STARC Model

The problem: Cybersecurity practice runs simultaneously across analysts, teams, organizations, sectors, and regulators, co-evolves with adversaries, and increasingly blends human and algorithmic decision-making. The theories applied to it operate at single organizational levels and cannot explain...

C-RE-ACT: Causal RE-ACTing Agent for O-RAN Forensic Triage

The shift to O-RAN architectures marks a turning point in cellular security, where increased openness and modularity directly translate into a broader attack surface. Among the security threats cataloged by the O-RAN Alliance Working Group 11, performance-degradation attacks constitute the larges...

Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion

We present a reproducible pipeline for mapping Common Vulnerabilities and Exposures CVEs to MITRE ATT&CK Enterprise techniques from free-text vulnerability descriptions. Rather than relying on the CWE-CAPEC-ATT&CK derivation chain, whose table-expansion artifacts we quantify, we train a multi-lab...

Network Reciprocity Shapes Evolutionary Cybersecurity Dynamics

AI-assisted cybersecurity systems are characterised by continuous adaptation between attackers and defenders, making evolutionary game theory a natural framework for studying their long-term behaviour. However, existing evolutionary cybersecurity models have primarily focused on homogeneous...

On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems

The recently deployed Entry/Exit System EES introduces large-scale biometric verification into European border control, requiring face recognition systems to operate at extremely low false match rates FMR. While regulatory frameworks define performance targets at the EES Central System level, the...

CVE-2026-43499: A Critical Analysis of the "Zero-Self" Fallacy

This document presents a comprehensive technical analysis refuting the claim that CVE-2026-43499 GhostLock constitutes "no real vulnerability" due to its requirement for local access and user interaction. Through rigorous examination of the attack surface, exploitation vectors, and real-world...

Synology Man-In-The-Middle

Synology stale DNS allows practical interception of traffic from vulnerable DSM clients, making older vulnerabilities more practical to exploit...

Cloudflare Universal SSL CAA Augmentation

Cloudflare Universal SSL automatically adds CAA issue/issuewild records when a customer has Universal SSL enabled and publishes any CAA records for the zone. These auto-added records are not shown in the Cloudflare dashboard but are returned in DNS responses, and can include permissive...

To Play or Not to Play: Insights and Lessons Learned from 20 Years of CTFs with ENOFLAG

Security contests in the form of CTF Capture The Flag exercises are nowadays a common way to learn cyber security. 20 years ago at DIMVA 2006 the on-site CTF CIPHER II was one of the conference highlights and led to the foundation of the team ENOFLAG. In this poster, we reflect on the changes in...

MindReader: Using LLMs to Encourage Memorable and Secure Password Replacement

We report on the design and evaluation of MindReader, a tool that helps a user replace her password when she is required to do so. Left to their own devices, users tend to replace their previous passwords with predictable variations of the original ones. MindReader leverages LLMs to suggest...

OpenCATS 0.9.7.4 Time-Based Blind SQL Injection

This Metasploit module targets a remote SQL injection vulnerability in OpenCATS version 0.9.7.4...

OpenBMC bmcweb Authentication Bypass

Proof of concept that demonstrates an OpenBMC bmcweb AUTH-F6 mTLS UPN Suffix authentication bypass vulnerability via a parent-domain certificate...

Oracle E-Business Suite 12.2.15 Payments Vulnerability Scanner

This Python-based security assessment tool scans Oracle E-Business Suite EBS Payments deployments for indicators associated with CVE-2026-46817...

Nebula AI-Powered Penetration Testing 2.0.0b31

Nebula is an advanced, AI-powered penetration testing open-source tool that revolutionizes penetration testing by integrating state-of-the-art AI models into your command-line interface. Designed for cybersecurity professionals, ethical hackers, and developers, Nebula automates vulnerability...

HotelDruid 3.0.x Custom Hash Verification

Python script for cracking a custom MD5 hashing scheme used in HotelDruid version 3.0.x...

IPv6 Extension Header Testing and Network Stress Utility Using Scapy

This Python script combines network validation, protocol behavior testing, and packet-generation capabilities focused on IPv4 and IPv6 traffic analysis using Scapy...

Apache .htaccess Persistence

This Metasploit module writes a persistence payload into an Apache .htaccess file using modcgi. The .htaccess file itself acts as a CGI shell, executing commands passed via the query string. Inspired by the htshells project by wireghoul...

Cloak and Detonate: Scanner Evasion and Dynamic Detection of Agent Skill Malware

LLM coding agents increasingly rely on third-party agent skills from public marketplaces, which execute with the agent's privileges and create a software supply-chain attack surface: a malicious skill can steal credentials, exfiltrate source code, or install backdoors. Existing defenses use stati...

Knowledge over Parameters: Evolving Smart Contract Vulnerability Detection

Smart contract vulnerabilities are predominantly logic bugs whose detection requires structured, step-by-step procedural knowledge of attack patterns and contract semantics. Existing LLM-based methods struggle to generate this knowledge automatically: prompt-based methods rely on manually crafted...

Trust Boundary Semantic Gaps: A Multi-Dimensional Analysis and Mitigation for Security-By-Design

Modern systems use format-, protocol-, and signature-based mechanisms before accepting artifacts across trust boundaries. These mechanisms are necessary: they show that an artifact is well formed, protocol-compliant, or properly authenticated. They do not, however, show that the artifact satisfie...

Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond

The society and emerging risk-based regulatory frameworks for AI underscore the need for rigorous risk assessment to ensure safe and reliable AI systems. In response to this imperative, this paper presents an overview of AI risk assessment identification and analysis and management methodologies...

FreeBSD Security Advisory - FreeBSD-SA-26:38.jail

FreeBSD Security Advisory - When the JAILATDESC flag is specified, kernjailset and kernjailget released the reference to the caller's current prison before looking up the jail descriptor. If the descriptor lookup failed, error-handling paths released the same reference a second time...

TOR Virtual Network Tunneling Tool 0.4.9.11

Tor is a network of virtual tunnels that allows people and groups to improve their privacy and security on the Internet. It also enables software developers to create new communication tools with built-in privacy features. It provides the foundation for a range of applications that allow...

Joern 4.0.568

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...

An AI-Based Solution for Secure Service Provisioning in IoT

As the Internet of Things IoT continues its rapid expansion, the attack surface grows accordingly, with emerging threats targeting smart objects and their interactions. In this evolving landscape, securing service provisioning is crucial to ensure the proper functioning, security, and reliability...

RedAmon 5.1.0

An autonomous AI framework that chains reconnaissance, exploitation, and post-exploitation into a single pipeline, then goes further by triaging every finding, implementing code fixes, and opening pull requests on your repository. From first packet to merged patch, with human oversight at every...

PowerFuzz: Power-Based Black-Box Firmware Fuzzing

Fuzzing is widely used for software and hardware verification, offering an effective alternative to random testing. While gray-box fuzzers benefit from full visibility into the system under test and can leverage execution feedback such as branch coverage, these approaches are not applicable when...

CVE MCP Server 0.2.0

CVE MCP Server is a production-grade Model Context Protocol MCP server that turns Claude into a full-spectrum security analyst. Instead of juggling 15+ browser tabs across NVD, EPSS, CISA KEV, Shodan, VirusTotal, and GreyNoise, ask Claude one question and get correlated intelligence in seconds...

Rising from the Ashes: How Agentic AI Is Unblocking Challenges in Cybersecurity

Security remains a high-cost challenge, with many problems historically deemed inefficient to address or effectively unsolvable. A significant number of these problems stem from labor-intensive tasks that create bottlenecks in defensive approaches. Agentic AI has the potential to alleviate these...

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'...

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...

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...

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:...

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...

Graph Neural Networks at War: Integrating Cybersecurity and Drone Intelligence in the Israeli-Iranian Conflict

Physical cyber systems have brought about new threats and challenges in detection and immediate response. This study examines how Graph Neural Networks GNNs can be used to aid cybersecurity and drone management in a physical cyber system comprising of cyber intrusions and unmanned aerial vehicles...

SoK: Security and Privacy of Foundation-Model-Powered Robots

Foundation models are reshaping robotics by enabling robots to interpret open-ended instructions, reason over multimodal contexts, and operate in complex, open-world environments. However, their integration also introduces security and privacy S&P risks that extend beyond the FMs themselves to...

Data-Centric Benchmarking of Exploit Generation in LLMs: Understanding the Impact of Fine-Tuning

We study the task of CVE-conditioned exploit generation, where a model drafts proof-of-concept PoC exploits given software vulnerability context. We adopt a data-centric approach, constructing a high-quality dataset via multi-stage preprocessing and introducing a scalable evaluation framework wit...