API Penetration Testing

Broken-Auth-API-KrishnaG-CEO

OWASP Top 10 API Security Risks – 2023: API2:2023 – Broken Authentication

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Authentication is the process of verifying a user’s identity before granting access to resources. In APIs, authentication mechanisms ensure that only authorised clients or users can interact with the system. Broken authentication compromises this trust, potentially leading to data breaches, identity theft, or unauthorised access to sensitive information. As APIs often handle vast amounts of personal and corporate data, even minor authentication flaws can have catastrophic consequences for businesses.
Broken authentication manifests in various forms, each posing unique challenges to developers and penetration testers.

Broken-Authorisation-KrishnaG-CEO

OWASP Top 10 API Security Risks – 2023: API1:2023 – Broken Object Level Authorisation

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Broken Object Level Authorisation (BOLA) arises when APIs expose endpoints handling object identifiers without adequate access control measures. This vulnerability allows attackers to manipulate object IDs to gain unauthorised access to data.

PenTest-Anthropic-KrishnaG-CEO

Penetration Testing Anthropic: Securing the Future in an Era of Advanced Cybersecurity Threats

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**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.

Mobile-App-Spoofing-KrishnaG-CEO

Mobile App Spoofing: A Growing Threat to C-Suite Executives

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Mobile app spoofing involves creating fake or malicious applications that impersonate legitimate apps to deceive users into downloading and installing them. These counterfeit apps can be used to steal sensitive data, compromise devices, or perpetrate financial fraud. For C-suite executives, who often handle highly confidential information and make critical business decisions, the consequences of falling victim to app spoofing can be severe.