cybersecurity

Unrestricted-Resource-KrishnaG-CEO

OWASP Top 10 API Security Risks – 2023: API4:2023 – Unrestricted Resource Consumption

by

Unrestricted resource consumption occurs when an API allows users or clients to request resources without proper limits or controls. Every API request consumes a certain amount of resources such as CPU cycles, memory, network bandwidth, storage, and other external services (e.g. email, SMS, or biometric validation). If these resources are not regulated, an attacker can exploit the API to consume disproportionate resources, leading to a range of undesirable consequences including:
Denial of Service (DoS): An attacker may cause the API to become unresponsive by overwhelming it with an excessive number of requests, or by requesting resources that are computationally expensive, leading to system crashes or slowdowns.
Inflated Operational Costs: APIs that involve third-party services, such as SMS or email delivery, may incur costs for each request. Without proper restrictions, malicious actors can generate high volumes of such requests, leading to unexpected cost overruns.
Data Loss or Degradation: APIs that allow unregulated access to large amounts of data or storage can be abused, resulting in slow system performance, data corruption, or loss.

Extraneous-Functionality-KrishnaG-CEO

OWASP Top 10 for Mobile Apps: M10 – Extraneous Functionality

by

Extraneous functionality can be defined as any feature or functionality that is present in a mobile application but is either unintentional or no longer needed. It may be left over from earlier stages of the development process, such as during testing or debugging, or added for convenience but overlooked as the application moves closer to production. Regardless of the reason for its existence, extraneous functionality represents a security risk.

LDAP-Injection-KrishnaG-CEO

Comprehensive Guide to LDAP Injection: SANS Top 25 CWE-90

by

LDAP Injection attacks are a severe and growing threat, with the potential to compromise sensitive data, escalate privileges, and disrupt business operations. Real-world incidents have demonstrated the wide-ranging consequences of such vulnerabilities, including financial losses, reputational damage, and regulatory repercussions.

By understanding the risks associated with LDAP Injection and adopting best practices for mitigation, organisations can protect themselves from these types of attacks. Regular security assessments, input validation, and the use of secure coding practices are essential for preventing LDAP Injection vulnerabilities and safeguarding against the potentially devastating impacts of these attacks.

LDAP Injection is a critical vulnerability that can have devastating consequences for an organisation, ranging from unauthorised data access to privilege escalation. By understanding how LDAP Injection works, the risks it presents, and the steps that can be taken to identify and mitigate it, penetration testers can play a pivotal role in strengthening the security posture of an organisation.

PenTest-Anthropic-KrishnaG-CEO

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

by

**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.