At its core, XSS exploits the trust a user places in a web application. By manipulating input fields, URLs, or other interactive elements, attackers can introduce scripts that execute commands, steal sensitive information, or alter website functionality.
Generative AI (GenAI) refers to a subset of artificial intelligence technologies designed to create new content, such as text, images, videos, and even code, based on patterns and data fed into it. Unlike traditional AI systems that rely on predefined algorithms and data sets, GenAI models learn from vast amounts of data and can generate original outputs that resemble human-created content. These outputs can range from realistic-looking deepfakes to sophisticated malware and phishing schemes, making GenAI a powerful tool for both cyber defenders and attackers.
In the context of cybersecurity, GenAI’s potential is vast. It can be utilised for automating threat detection, creating advanced defence mechanisms, and developing incident response strategies. However, the same capabilities that make GenAI a valuable asset to security teams also make it an attractive tool for cybercriminals, who can use it to create new, more complex forms of cyber attacks.
Cryptography, at its core, is the practice of securing communication and data through the use of algorithms and keys. For mobile apps, cryptography plays a crucial role in securing sensitive data, ensuring privacy, and maintaining the integrity of user interactions. However, *insufficient cryptography* occurs when an app fails to implement cryptographic algorithms or methods correctly, resulting in data being exposed or vulnerable to unauthorised access.
The issue of insufficient cryptography is particularly critical in mobile applications because of the increasing amount of sensitive information that these apps handle, such as financial data, personal identification information, passwords, and private conversations. Insufficient cryptography in this context means that sensitive data is not encrypted properly, or that weak or deprecated encryption methods are used, leaving the data open to attackers who can intercept, manipulate, or steal it.
Cyber attacks have evolved into intricate operations, often executed in multiple stages to achieve maximum impact while evading detection. Multi-stage cyber attacks leverage complex execution chains to mislead victims, bypass traditional defences, and deliver devastating outcomes. For organisations and individuals alike, understanding the mechanics of these attacks is essential for crafting effective defence strategies.
Multi-stage cyber attacks are a formidable challenge, but with offensive security techniques, organisations can move from reactive to proactive defence. By adopting vulnerability assessments, penetration testing, cyber forensics, malware analysis, and reverse engineering, businesses can detect and neutralise threats before they escalate.
An asset deal occurs when a buyer acquires specific assets and liabilities of a company rather than purchasing the company’s stock. This type of transaction allows the buyer to choose which assets they want and, in some cases, which liabilities they are willing to assume. Asset deals are often attractive to buyers looking to avoid potential risks associated with a company’s existing liabilities, contingent liabilities, and other historical issues that could impact future performance.