Time Stepped Cyber Physical Simulation of DoS, DoD, and FDI Attacks on the IEEE 14 Bus System

Reliable grid operation depends on accurate and timely telemetry, making modern power systems vulnerable to communication layer cyberattacks. This paper evaluates how Denial of Service DoS, Denial of Data DoD, and False Data Injection FDI attacks disrupt the IEEE 14 bus system using a MATLAB only...

On the Security of Password Managers

Good article on password managers that secretly have a backdoor. New research shows that these claims aren’t true in all cases, particularly when account recovery is in place or password managers are set to share vaults or organize users into groups. The researchers reverse-engineered or closely...

Can You Tell It'S AI? Human Perception of Synthetic Voices in Vishing Scenarios

Large Language Models and commercial speech synthesis systems now enable highly realistic AI-generated voice scams vishing, raising urgent concerns about deception at scale. Yet it remains unclear whether individuals can reliably distinguish AI-generated speech from human-recorded voices in...

Understanding Human-AI Collaboration in Cybersecurity Competitions

Capture-the-Flag CTF competitions are increasingly becoming a testbed for evaluating AI capabilities at solving security tasks, due to the controlled environments and objective success criteria. Existing evaluations have focused on how successful AI is at solving CTF challenges in isolation from...

Evaluating the Reliability of Digital Forensic Evidence Discovered by Large Language Model: A Case Study

The growing reliance on AI-identified digital evidence raises significant concerns about its reliability, particularly as large language models LLMs are increasingly integrated into forensic investigations. This paper proposes a structured framework that automates forensic artifact extraction,...

CVE-2026-27169

OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. Versions 1.1.2-alpha and below render untrusted user/model content in chat tool UI surfaces using unsafe HTML interpolation patterns, leading to XSS. Stored content can execute JavaScript when...

Orbital Escalation: Modeling Satellite Ransomware Attacks Using Game Theory

Ransomware has yet to reach orbit, but the conditions for such an attack already exist. This paper presents the first game-theoretic framework for modeling ransomware against satellites: the orbital escalation game. In this model, the attacker escalates ransom demands across orbital passes, while...

A Unified Evaluation of Learning-Based Similarity Techniques for Malware Detection

Cryptographic digests e.g., MD5, SHA-256 are designed to provide exact identity. Any single-bit change in the input produces a completely different hash, which is ideal for integrity verification but limits their usefulness in many real-world tasks like threat hunting, malware analysis and digita...

When Security Meets Usability: An Empirical Investigation of Post-Quantum Cryptography APIs

Advances in quantum computing increasingly threaten the security and privacy of data protected by current cryptosystems, particularly those relying on public-key cryptography. In response, the international cybersecurity community has prioritized the implementation of Post-Quantum Cryptography PQ...

Exposing the Systematic Vulnerability of Open-Weight Models to Prefill Attacks

As the capabilities of large language models continue to advance, so does their potential for misuse. While closed-source models typically rely on external defenses, open-weight models must primarily depend on internal safeguards to mitigate harmful behavior. Prior red-teaming research has largel...

Tracking the Trackers: Commercial Surveillance Occurring on U.S. Army Networks

Despite current security implementations, Internet activity on DoD networks is susceptible to web trackers and commercial data collection, which have the potential to expose information about service members and unit operations. This report documents the outcomes of a study to characterize web...

Evasion of IoT Malware Detection Via Dummy Code Injection

The Internet of Things IoT has revolutionized connectivity by linking billions of devices worldwide. However, this rapid expansion has also introduced severe security vulnerabilities, making IoT devices attractive targets for malware such as the Mirai botnet. Power side-channel analysis has...

Characterizing and Modeling the GitHub Security Advisories Review Pipeline

GitHub Security Advisories GHSA have become a central component of open-source vulnerability disclosure and are widely used by developers and security tools. A distinctive feature of GHSA is that only a fraction of advisories are reviewed by GitHub, while the mechanisms associated with this revie...

[Webinar] The Smarter SOC Blueprint: Learn What to Build, Buy, and Automate

Most security teams today are buried under tools. Too many dashboards. Too much noise. Not enough real progress. Every vendor promises “complete coverage” or “AI-powered automation,” but inside most SOCs, teams are still overwhelmed, stretched thin, and unsure which tools are truly pulling their...

Reading between the Code Lines: On the Use of Self-Admitted Technical Debt for Security Analysis

Static Analysis Tools SATs are central to security engineering activities, as they enable early identification of code weaknesses without requiring execution. However, their effectiveness is often limited by high false-positive rates and incomplete coverage of vulnerability classes. At the same...

I Can't Believe It's Not a Valid Exploit

Recently Large Language Models LLMs have been used in security vulnerability detection tasks including generating proof-of-concept PoC exploits. A PoC exploit is a program used to demonstrate how a vulnerability can be exploited. Several approaches suggest that supporting LLMs with additional...

DuoLungo: Usability Study of Duo 2FA

Multi-Factor Authentication MFA enhances login security by requiring multiple authentication factors. Its adoption has increased in response to more frequent and sophisticated attacks. Duo is widely used by organizations including Fortune 500 companies and major educational institutions, yet its...

Case study: Securing AI application supply chains

The rapid adoption of AI applications, including agents, orchestrators, and autonomous workflows, represents a significant shift in how software systems are built and operated. Unlike traditional applications, these systems are active participants in execution. They make decisions, invoke tools,...

What Are Brands Telling You about Smishing? A Cross-Industry Evaluation of Customer Guidance

Phishing attacks through text, also known as smishing, are a prevalent type of social engineering tactic in which attackers impersonate brands to deceive victims into providing personal information and/or money. While smishing awareness and cyber education are a key method by which organizations...

Putting Privacy to the Test: Introducing Red Teaming for Research Data Anonymization

Recently, the data protection practices of researchers in human-computer interaction and elsewhere have gained attention. Initial results suggest that researchers struggle with anonymization, partly due to a lack of clear, actionable guidance. In this work, we propose simulating re-identification...