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India banned Telegram after the NEET paper leak led to a retest for 2.28 million students. Class Central studied the scam, the money trail, and other platforms the leaks could move to.
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Explore wireless IoT security challenges, signal identification techniques, and best practices for revealing unknown signals. Includes a demo of a new tool for mapping radio spectrum and identifying devices.
Explore active detection techniques for Dynamic Binary Instrumentation, focusing on exploiting weaknesses and escaping control. Learn to identify and overcome DBI environments in cybersecurity.
Explore wireless security research techniques combining SDR and non-SDR tools. Learn efficient reverse engineering processes for analyzing and decoding radio signals in this hands-on demonstration.
Explore iOS security vulnerabilities through enterprise apps, examining real-world statistics and a zero-day attack that bypasses Apple's gatekeeper, revealing critical flaws in the iOS security model.
Explores CVE-2015-0057 vulnerability, User Mode Callback mechanism, and new exploit techniques in Windows kernel. Analyzes exploit methodology, vulnerability detection, and implications for system security.
Explore a PowerShell toolkit leveraging Windows Desired State Configuration for command-and-control, malware persistence, and automatic re-infection. Learn attack techniques and defensive strategies.
Explore CANtact, an open-source tool for automotive network analysis. Learn to view, decode, and manipulate CAN bus traffic for reverse engineering and security testing of vehicle systems.
Explore vulnerabilities in professional drones and learn how to exploit them to take control. Discover practical fixes and remediation approaches for these security compromises.
Demonstration of a self-contained PLC worm targeting Siemens S7-1200 PLCs, showcasing network scanning, self-propagation, and remote control capabilities while evading detection.
Explores Android vulnerabilities exploited by spyware and proposes a detection method using fuzz testing to mitigate risks and protect user privacy on smartphones.
Automated framework for discovering vulnerabilities in embedded web interfaces through dynamic firmware analysis. Validates effectiveness on 1925 firmware images from 54 vendors, uncovering critical security flaws.
Explore flaws in Data Loss Prevention solutions, including administrative interfaces and inspection engines, to understand their capabilities and shortcomings in protecting sensitive information.
Hands-on workshop for developing iOS malware using the su-A-Cyder framework. Learn techniques to create and execute malware samples on Apple devices, exploiting recent policy changes.
Discover a novel extension-reuse vulnerability in Firefox and learn about CROSSFIRE, a static analyzer that detects these vulnerabilities and generates exploit templates for rapid proof-of-concept creation.
Explore real-time threat detection using machine learning on massive DNS data. Learn about Avalanche stream processing and NLP-Rank for automated phishing detection at scale.
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