Live IoT Hacking | Chip Off Firmware Extraction | Hardware Hacking | AMA
**Introduction** The host introduces himself and explains that he will be attempting to extract firmware from a router using a hot air gun, X gecko programmer, and other...
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Live: PSAP Release | TCM Security | Blue Team | AMA
The PAP certification, released by TCM security, is an intermediate-level exam that assesses threat hunting and incident response skills. The exam simulates a real-world scenario where the candidate must...
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US banks scramble to assess data theft after hackers breach financial tech firm
U.S. banks are urgently evaluating data loss after a cyberattack on SitusAMC, a New York-based financial technology firm. The breach, confirmed on November 12, involved hackers stealing corporate data,...
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When Chatbots Go Rogue: Securing Conversational AI in Cyber Defense
Arun Goyal’s article highlights the critical need for securing conversational AI systems against emerging cyber threats. Chatbots, while enhancing user engagement, introduce risks like data breaches and phishing vulnerabilities...
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DevSecConflict: How Google Project Zero and FFmpeg Went Viral For All the Wrong Reasons
A controversial collaboration between Google’s Project Zero and AI tools on FFmpeg sparked debates about security ethics and open-source responsibilities. The incident highlights tensions between security researchers and open-source...
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Vaping Is ‘Everywhere’ in Schools—Sparking a Bathroom Surveillance Boom
Schools are increasingly using vape detectors to monitor student vaping, raising concerns about privacy and surveillance. These devices, deployed by companies like HALO and Triton Sensors, often integrate with...
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A Major Leak Spills a Chinese Hacking Contractor’s Tools and Targets
The United States issued a seizure warrant to Starlink over satellite internet infrastructure used in a scam compound in Myanmar, as part of a larger law enforcement initiative. Google...
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Evaluating AI Vulnerability Detection: How Reliable Are LLMs for Secure Coding?
This article explores the reliability of large language models (LLMs) in detecting security vulnerabilities in code. It highlights a study comparing Anthropic’s Claude Code and OpenAI’s Codex on their...
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