In the evolving cybersecurity landscape, dark web intelligence gathering has become a mission-critical capability for organisations seeking to defend against ever-advancing threats. The dark web—infamous for its anonymity—is home to illicit forums, underground marketplaces, and criminal coordination that thrives beyond the reach of standard search engines. Monitoring this digital underworld reveals early indicators of cyberattacks, compromised data, and attack methodologies—insights that are vital to proactive defense strategies. Understanding the Dark Web To appreciate the value of intelligence gathering, one must first understand what the dark web is. Often depicted as the bottom layer of the internet iceberg, the dark web…
Author: Munim
As cyber threats evolve and the convergence of IT, OT (Operational Technology), and IoT (Internet of Things) becomes mainstream, implementing a robust Zero Trust Architecture (ZTA) is no longer optional—it’s essential. The rising risks from unpatched devices, geopolitical tensions, and outdated air-gapped assumptions demand a shift in how we secure modern infrastructure. In a recent Microsoft webinar featuring security leaders from Microsoft, Avanade, and Accenture, the panel laid out a compelling blueprint for applying Zero Trust to IoT and OT environments. This blog distills the key takeaways and actionable strategies shared by the experts. What is Zero Trust Architecture? At…
Introduction In modern cybersecurity, cryptographic algorithms like AES, RSA, and ECC are designed to be mathematically secure. However, real-world implementations can still be compromised through side-channel attacks (SCAs)—a method of extracting sensitive information by analyzing unintended data leaks such as power consumption and execution time. Power and timing analysis attacks are two of the most powerful and commonly used side-channel attack techniques. These methods allow adversaries to infer cryptographic keys without breaking the encryption algorithm itself. This article will explore the principles, methodologies, and countermeasures associated with power and timing-based side-channel attacks. What Are Side-Channel Attacks? Side-channel attacks (SCAs) exploit…
Introduction As cyber threats evolve in complexity and stealth, traditional security measures often fail to detect advanced persistent threats (APTs). This has necessitated a proactive approach known as threat hunting, where cybersecurity teams actively search for undetected malicious activities within an organization’s network. Advanced threat hunting methodologies leverage intelligence-driven processes, behavior-based analytics, and deep telemetry data to uncover sophisticated threats that evade automated security systems. In this guide, we will explore key threat hunting methodologies, the role of threat intelligence, and best practices to enhance security operations. What is Threat Hunting? Threat hunting is a proactive security practice that involves…
Introduction Intrusion detection is a critical component of cybersecurity, protecting networks from unauthorized access, cyberattacks, and malicious activities. Traditional intrusion detection systems (IDS) rely on rule-based methods, but with evolving cyber threats, machine learning (ML) has emerged as a powerful approach to enhance accuracy, speed, and adaptability. This article explores machine learning-based intrusion detection systems (ML-IDS), detailing: Dataset preprocessing & feature selection ML models used for intrusion detection Performance evaluation & comparison By leveraging ML, organizations can significantly improve threat detection, reduce false positives, and enhance real-time security responses. 1. Understanding Machine Learning-Based Intrusion Detection What is Intrusion Detection? An…
Introduction Firmware, the low-level software controlling hardware functions, plays a critical role in system security. However, firmware vulnerabilities pose severe risks—especially when attackers exploit them for privilege escalation, persistence, and remote control of devices. This article explores firmware vulnerability exploitation, focusing on: How attackers target firmware Real-world threats to Baseboard Management Controllers (BMCs) Security measures to detect and mitigate these vulnerabilities With firmware attacks increasing, understanding attack vectors, exploitation techniques, and countermeasures is crucial for businesses, security professionals, and manufacturers. 1. What is Firmware Vulnerability Exploitation? Firmware vulnerability exploitation refers to attackers identifying and leveraging security flaws in firmware to…
Introduction DNS tunneling is a stealthy cyberattack technique used by malicious actors to bypass security defenses, exfiltrate sensitive data, and establish covert channels for communication. It leverages Domain Name System (DNS) traffic, which is often overlooked in traditional security monitoring, making it a preferred method for command-and-control (C2) attacks, data theft, and malware delivery. In this article, we will break down DNS tunneling attacks, explain how they work, explore real-world attack scenarios, and discuss detection and mitigation strategies to prevent these sophisticated threats. 1. What is a DNS Tunneling Attack? Understanding DNS Tunneling DNS tunneling is a method of encoding…
Introduction In the evolving landscape of cybersecurity and cryptography, homomorphic encryption (HE) is a breakthrough that enables computations on encrypted data without exposing its content. Unlike traditional encryption, which requires decryption before processing, homomorphic encryption allows secure data analysis, protecting privacy across various industries like finance, healthcare, and cloud computing. This article delves into the fundamentals of homomorphic encryption, its types, benefits, challenges, real-world applications, and its potential to revolutionize secure computing. 1. What is Homomorphic Encryption? Homomorphic encryption is an advanced cryptographic technique that enables computations on encrypted data while preserving confidentiality. The output of these computations remains encrypted…
Introduction Online privacy is under constant threat from advanced tracking methods, one of the most sophisticated being browser fingerprinting. Unlike traditional cookies, which can be deleted, browser fingerprinting gathers unique data about your device and browser to create an identifiable “fingerprint” that persists across sessions. This article explores how browser fingerprinting works, key techniques used, real-world applications, and methods to protect your digital identity. What is Browser Fingerprinting? Browser fingerprinting is a technique used to collect various attributes of a user’s browser and device to create a unique identifier. This identifier allows websites and third parties to track users even…
Introduction Deepfake technology, a subset of synthetic media, is revolutionizing social engineering attacks. By leveraging AI-generated images, videos, and voice cloning, cybercriminals manipulate individuals into revealing sensitive information or taking harmful actions. As law enforcement and cybersecurity professionals raise alarms, businesses and individuals must understand the scope of this emerging threat and develop effective countermeasures. Dr. Matthew Canham, a cybersecurity researcher at the University of Central Florida, has developed a deepfake social engineering framework to analyze these attacks. This article will explore the mechanics of deepfake-based social engineering, real-world examples, and strategies to mitigate risks. What is Deepfake-Based Social Engineering?…