BlueCodeAgent: A Blue Teaming Agent Enabled by Automated Red Teaming for CodeGen AI

As large language models LLMs are increasingly used for code generation, concerns over the security risks have grown substantially. Early research has primarily focused on red teaming, which aims to uncover and evaluate vulnerabilities and risks of CodeGen models. However, progress on the blue...

Towards Proactive Defense against Cyber Cognitive Attacks

Cyber cognitive attacks leverage disruptive innovations DIs to exploit psychological biases and manipulate decision-making processes. Emerging technologies, such as AI-driven disinformation and synthetic media, have accelerated the scale and sophistication of these threats. Prior studies primaril...

CVE-2025-58474

When BIG-IP Advanced WAF is configured on a virtual server with Server-Side Request Forgery SSRF protection or when an NGINX server is configured with App Protect Bot Defense, undisclosed requests can disrupt new client requests. Note: Software versions which have reached End of Technical Support...

Extortion and ransomware drive over half of cyberattacks

In 80% of the cyber incidents Microsoft’s security teams investigated last year, attackers sought to steal data—a trend driven more by financial gain than intelligence gathering. According to the latest Microsoft Digital Defense Report, written with our Chief Information Security Officer Igor...

Active Honeypot Guardrail System: Probing and Confirming Multi-Turn LLM Jailbreaks

Large language models LLMs are increasingly vulnerable to multi-turn jailbreak attacks, where adversaries iteratively elicit harmful behaviors that bypass single-turn safety filters. Existing defenses predominantly rely on passive rejection, which either fails against adaptive attackers or overly...

Beyond a Single Perspective: Towards a Realistic Evaluation of Website Fingerprinting Attacks

Website Fingerprinting WF attacks exploit patterns in encrypted traffic to infer the websites visited by users, posing a serious threat to anonymous communication systems. Although recent WF techniques achieve over 90% accuracy in controlled experimental settings, most studies remain confined to...

EUVD-2025-34654

When BIG-IP Advanced WAF is configured on a virtual server with Server-Side Request Forgery SSRF protection or when an NGINX server is configured with App Protect Bot Defense, undisclosed requests can disrupt new client requests. Note: Software versions which have reached End of Technical Support...

CVE-2025-58474

When BIG-IP Advanced WAF is configured on a virtual server with Server-Side Request Forgery SSRF protection or when an NGINX server is configured with App Protect Bot Defense, undisclosed requests can disrupt new client requests. Note: Software versions which have reached End of Technical Support...

Quarterly WordPress Threat Intelligence Report – Q3 2025

As the leader in WordPress security, Wordfence provides unparalleled security coverage that fully encompasses protection, active monitoring, detection, and response all built around our threat intelligence, demonstrating a strong commitment to security. Our mission is to ensure comprehensive...

CVE-2025-58474

CVE-2025-58474 affects BIG-IP BIG-IP Advanced WAF/ASM and NGINX App Protect DNS lookup vulnerability. When BIG-IP Advanced WAF is on a virtual server with SSRF protection or NGINX App Protect Bot Defense is used, undisclosed requests can disrupt new client requests, enabling potential DoS on the ...

F5 Networks BIG-IP : BIG-IP Advanced WAF and ASM and NGINX App Protect DNS lookup vulnerability (K000148512)

The version of F5 Networks BIG-IP installed on the remote host is prior to 17.1.2 / 17.5.0. It is, therefore, affected by a vulnerability as referenced in the K000148512 advisory. When BIG-IP Advanced WAF is configured on a virtual server with Server-Side Request Forgery SSRF protection or when a...

Rockwell Automation 1715 EtherNet/IP Comms Module

RISK EVALUATION Successful exploitation of these vulnerabilities could allow an attacker to cause the web server to crash, requiring a restart to recover. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of these vulnerabilities, such...

ShuffleV: A Microarchitectural Defense Strategy against Electromagnetic Side-Channel Attacks in Microprocessors

The run-time electromagnetic EM emanation of microprocessors presents a side-channel that leaks the confidentiality of the applications running on them. Many recent works have demonstrated successful attacks leveraging such side-channels to extract the confidentiality of diverse applications, suc...

PACEbench: A Framework for Evaluating Practical AI Cyber-Exploitation Capabilities

The increasing autonomy of Large Language Models LLMs necessitates a rigorous evaluation of their potential to aid in cyber offense. Existing benchmarks often lack real-world complexity and are thus unable to accurately assess LLMs' cybersecurity capabilities. To address this gap, we introduce...

A Comprehensive Survey of Website Fingerprinting Attacks and Defenses in Tor: Advances and Open Challenges

The Tor network provides users with strong anonymity by routing their internet traffic through multiple relays. While Tor encrypts traffic and hides IP addresses, it remains vulnerable to traffic analysis attacks such as the website fingerprinting WF attack, achieving increasingly high...

Future G Network'S New Reality: Opportunities and Security Challenges

Future G network's new reality is a widespread cyber-physical environment created by Integrated Sensing and Communication ISAC. It is a crucial technology that transforms wireless connections into ubiquitous sensors. ISAC unlocks transformative new capabilities, powering autonomous systems,...

Rethinking DDoS Defense: Why Scale Isn’t the Only Metric That Matters

In recent months, headlines have drawn attention to record-breaking DDoS attacks, often measured in terabits per second Tbps and accompanied by declarations of network capacity in the hundreds of Tbps. These figures, while impressive, can create a misleading narrative about what truly matters in...

From Phishing to Malware: AI Becomes Russia's New Cyber Weapon in War on Ukraine

Russian hackers' adoption of artificial intelligence AI in cyber attacks against Ukraine has reached a new level in the first half of 2025 H1 2025, the country's State Service for Special Communications and Information Protection SSSCIP said. "Hackers now employ it not only to generate phishing...

Rockwell Automation Stratix

RISK EVALUATION Successful exploitation of this vulnerability could result in arbitrary code execution. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability, such as: Minimize network exposure for all control system...

A2AS: Agentic AI Runtime Security and Self-Defense

The A2AS framework is introduced as a security layer for AI agents and LLM-powered applications, similar to how HTTPS secures HTTP. A2AS enforces certified behavior, activates model self-defense, and ensures context window integrity. It defines security boundaries, authenticates prompts, applies...