Client code quality refers to the soundness, reliability, and maintainability of the code executed on mobile devices. The “M7” designation in the OWASP Top 10 highlights vulnerabilities resulting from poorly written client-side code. These vulnerabilities can stem from inadequate input validation, insecure coding practices, or the use of deprecated libraries.
**JSON Injection** is a form of **injection vulnerability** that occurs when an application improperly handles user input within a JSON object. JSON (JavaScript Object Notation) is widely used for data exchange between web clients and servers. When applications fail to validate or sanitize user input before incorporating it into a JSON object, attackers can inject malicious data, manipulating the application’s behaviour.
JSON Injection primarily targets the integrity of the data being exchanged, potentially altering application logic, bypassing authentication, or even leading to more severe attacks like remote code execution. It is particularly dangerous in systems that use JSON for configuration files, user inputs, or data transfer, which is the case in many modern web applications.
**Penetration Testing Anthropic** combines traditional penetration testing methods with a more nuanced understanding of human behaviour, cognitive psychology, and artificial intelligence (AI). The term “anthropic” refers to anything that relates to human beings or human perspectives, and in this context, it highlights the critical role human elements play in both security and attack strategies.
While traditional penetration testing often focuses on exploiting technical vulnerabilities in systems, Penetration Testing Anthropic goes beyond these boundaries by considering how human behaviours—both of attackers and defenders—can influence the outcome of a cyberattack. This includes social engineering tactics, cognitive biases, organisational culture, decision-making processes, and the integration of AI and machine learning into attack and defence mechanisms.
This approach represents a shift from purely technical penetration testing to a more comprehensive model that accounts for the psychological, social, and technological aspects of cybersecurity.
Insecure design refers to flaws or omissions at the design stage of application development that lead to vulnerabilities in the system. Unlike implementation bugs, which result from coding errors, insecure design represents a fundamental failure to consider and incorporate security principles during planning and architecture.
At their core, business logic attacks exploit **gaps or errors in the workflows or rules governing an organisation’s operations**. These flaws are not due to programming errors but rather the **misuse of legitimate system features** or **misconfigured processes**. Attackers manipulate these weaknesses to achieve their objectives, such as:
– Circumventing security measures
– Accessing unauthorised data
– Fraudulently acquiring goods or services