Hacker Noon Cybersecurity

A startup’s IP includes product designs and formulas. It also extends to content that may contain trade secrets. Encryption is an information-scrambling method that stops unauthorized parties from accessing it.Read All

NHIcon 2025 will provide technical insights and practical guidance to address the challenges of securing non-human identities, such as service accounts, AI agents, and other software workloads. The agenda also includes a keynote from Talha Tariq, chief security officer at HashiCorp, on zero-trust principles for non- human identities. Gartner® naming machine identity management a top security trend for 2025.Read All

Sweet Security launches patent-pending Large Language Model (LLM) powered cloud detection engine. Engine can identify previously undetectable threats. Engine is capable of uncovering zero-day attacks and “unknown unknowns”Read All

Czech cybersecurity startup Wultra has raised €3 million from Tensor Ventures, Elevator Ventures, and J&T Ventures. The investment comes as global concern grows over the vulnerability of traditional security methods. Quantum computers will soon have the power to crack cryptography that protects billions of transactions daily.Read All

This research outlines methods to fingerprint OpenVPN traffic, achieving 85% accuracy, raising concerns about VPN blockability and countermeasures.Read All

This research outlines methods to fingerprint OpenVPN traffic, achieving 85% accuracy, raising concerns about VPN blockability and countermeasures.Read All

This research shows OpenVPN’s vulnerability to detection and blocking at scale, urging VPN providers to adopt stronger, standardized obfuscation methods.Read All

This research reveals OpenVPN fingerprinting risks and suggests separating obfuscation, using random padding, and adopting standardized defenses.Read All

This research flags 3,638 OpenVPN flows from 10M, confirming 89% accuracy, with a 0.0039% false positive rate, uncovering IoT and VPN detection use cases.Read All

This research identifies OpenVPN flows in 39/40 vanilla and 34/41 obfuscated configurations, revealing vulnerabilities in many VPN obfuscation strategies.Read All

This research deploys a scalable OpenVPN detection framework, sampling 12.5% of traffic, processing 15 TB daily, and testing 81 VPN configurations.Read All

This research extends probing to TCP servers near UDP or obfuscated OpenVPN endpoints, leveraging subnet proximity to enhance detection efficiency.Read All

This research finds most OpenVPN servers rarely churn, enabling efficient daily batch probing with minimal risk of IP changes impacting detection.Read All

This research examines active probing techniques to fingerprint OpenVPN servers by exploiting unique timeout, packet length, and TCP-level behaviors.Read All

This research identifies OpenVPN fingerprinting via distinct ACK patterns, exploiting timing and size features even in obfuscated or tunneled setups.Read All

This research identifies OpenVPN fingerprinting features, including opcode analysis, packet length, and server behavior, even under XOR-based obfuscation.Read All

This research mitigates ethical risks by minimizing user data collection, securing logs, and adhering to strict privacy and legal standards during VPN analysis.Read All

This research outlines a two-phase framework for censor-driven OpenVPN detection, combining passive filtering and active probing to confirm VPN traffic.Read All

This research outlines ISP challenges in VPN detection, including privacy concerns, real-time analysis, and engineering constraints.Read All

This research examines OpenVPN fingerprintability on real traffic, revealing detection vulnerabilities in obfuscated VPNs with real-world security implications.Read All