The hidden risks inside open-source code 2025-09-30 at 09:12 By Mirko Zorz Open-source software is everywhere. It runs the browsers we use, the apps we rely on, and the infrastructure that keeps businesses connected. For many security leaders, it is simply part of the environment, not something they think about every day. That is where […]
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Predicting DDoS attacks: How deep learning could give defenders an early warning 2025-09-25 at 10:12 By Sinisa Markovic Distributed denial-of-service (DDoS) attacks remain one of the most common and disruptive forms of cybercrime. Defenders have traditionally focused on detecting these attacks once they are underway. New research suggests that predicting DDoS attacks in advance may
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LLMs can boost cybersecurity decisions, but not for everyone 2025-09-19 at 09:11 By Mirko Zorz LLMs are moving fast from experimentation to daily use in cybersecurity. Teams are starting to use them to sort through threat intelligence, guide incident response, and help analysts handle repetitive work. But adding AI into the decision-making process brings new
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Researchers believe Gamaredon and Turla threat groups are collaborating 2025-09-19 at 08:31 By Help Net Security ESET Research has discovered evidence of collaboration between the Gamaredon and Turla threat groups. Both groups are linked to Russia’s primary intelligence agency, the FSB, and were found working in tandem to target high-profile organizations in Ukraine. In these
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How a fake ICS network can reveal real cyberattacks 2025-09-17 at 09:03 By Mirko Zorz Researchers have introduced a new way to study and defend against ICS threats. Their project, called ICSLure, is a honeynet built to closely mimic a real industrial environment. Why traditional honeypots fall short Honeypots are systems designed to attract attackers
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Rowhammer Attack Demonstrated Against DDR5 2025-09-16 at 14:41 By Ionut Arghire Researchers devise Phoenix, a new Rowhammer attack that achieves root on DDR5 systems in less than two minutes. The post Rowhammer Attack Demonstrated Against DDR5 appeared first on SecurityWeek. This article is an excerpt from SecurityWeek View Original Source
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Your heartbeat could reveal your identity, even in anonymized datasets 2025-09-12 at 09:12 By Mirko Zorz A new study has found that electrocardiogram (ECG) signals, often shared publicly for medical research, can be linked back to individuals. Researchers were able to re-identify people in anonymous datasets with surprising accuracy, raising questions about how health data
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When typing becomes tracking: Study reveals widespread silent keystroke interception 2025-09-11 at 09:17 By Mirko Zorz You type your email address into a website form but never hit submit. Hours later, a marketing email shows up in your inbox. According to new research, that is not a coincidence. A team of researchers from UC Davis,
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Cybersecurity research is getting new ethics rules, here’s what you need to know 2025-09-08 at 09:01 By Mirko Zorz Top cybersecurity conferences are introducing new rules that require researchers to formally address ethics in their work. Starting with the 2026 USENIX Security Symposium, all submissions must include a stakeholder-based ethics analysis. Other major venues such
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Academics Build AI-Powered Android Vulnerability Discovery and Validation Tool 2025-09-05 at 16:44 By Ionut Arghire Called A2, the framework mimics human analysis to identify vulnerabilities in Android applications and then validates them. The post Academics Build AI-Powered Android Vulnerability Discovery and Validation Tool appeared first on SecurityWeek. This article is an excerpt from SecurityWeek View
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Stealthy attack serves poisoned web pages only to AI agents 2025-09-05 at 14:30 By Zeljka Zorz AI agents can be tricked into covertly performing malicious actions by websites that are hidden from regular users’ view, JFrog AI architect Shaked Zychlinski has found. This novel approach allows attackers to inject prompts / instructions into these autonomous
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Can AI agents catch what your SOC misses? 2025-09-02 at 10:45 By Mirko Zorz A new research project called NetMoniAI shows how AI agents might reshape network monitoring and security. Developed by a team at Texas Tech University, the framework brings together two ideas: distributed monitoring at the edge and AI-driven analysis at the center.
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KillChainGraph: Researchers test machine learning framework for mapping attacker behavior 2025-09-01 at 09:21 By Mirko Zorz A team of researchers from Frondeur Labs, DistributedApps.ai, and OWASP has developed a new machine learning framework designed to help defenders anticipate attacker behavior across the stages of the Cyber Kill Chain. The work explores how machine learning models
New framework aims to outsmart malware evasion tricks 2025-08-29 at 10:03 By Mirko Zorz Attackers have learned how to trick machine learning malware detectors with small but clever code changes, and researchers say they may finally have an answer. In a new paper, academics from Inria and the CISPA Helmholtz Center for Information Security describe
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ScamAgent shows how AI could power the next wave of scam calls 2025-08-28 at 09:03 By Mirko Zorz Scam calls have long been a problem for consumers and enterprises, but a new study suggests they may soon get an upgrade. Instead of a human scammer on the other end of the line, future calls could
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AI Security Map: Linking AI vulnerabilities to real-world impact 2025-08-27 at 09:40 By Mirko Zorz A single prompt injection in a customer-facing chatbot can leak sensitive data, damage trust, and draw regulatory scrutiny in hours. The technical breach is only the first step. The real risk comes from how quickly one weakness in an AI
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LLMs at the edge: Rethinking how IoT devices talk and act 2025-08-26 at 08:01 By Mirko Zorz Anyone who has set up a smart home knows the routine: one app to dim the lights, another to adjust the thermostat, and a voice assistant that only understands exact phrasing. These systems call themselves smart, but in
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Why a new AI tool could change how we test insider threat defenses 2025-08-25 at 09:04 By Mirko Zorz Insider threats are among the hardest attacks to detect because they come from people who already have legitimate access. Security teams know the risk well, but they often lack the data needed to train systems that
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Password Managers Vulnerable to Data Theft via Clickjacking 2025-08-21 at 15:18 By Eduard Kovacs A researcher has tested nearly a dozen password managers and found that they were all vulnerable to clickjacking attacks. The post Password Managers Vulnerable to Data Theft via Clickjacking appeared first on SecurityWeek. This article is an excerpt from SecurityWeek View
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Using lightweight LLMs to cut incident response times and reduce hallucinations 2025-08-21 at 09:03 By Mirko Zorz Researchers from the University of Melbourne and Imperial College London have developed a method for using LLMs to improve incident response planning with a focus on reducing the risk of hallucinations. Their approach uses a smaller, fine-tuned LLM
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