OS-Cmd-i-KrishnaG-CEO

The 2024 CWE Top 25: Understanding and Mitigating CWE-78 – OS Command Injection

OS Command Injection occurs when an application dynamically constructs operating system (OS) commands using untrusted inputs, enabling an attacker to execute arbitrary commands on the host system. These commands often run with the same privileges as the application, amplifying the potential impact.

OoBR-KrishnaG-CEO

2024 CWE Top 25 Most Dangerous Software Weaknesses: Out-of-Bounds Read (CWE-125)

Out-of-Bounds Read occurs when a program reads data past the allocated boundary of a buffer. This behaviour typically arises from improper validation of input data or incorrect indexing in memory operations. By exploiting this weakness, attackers can gain unauthorised access to sensitive information, potentially leading to security violations.

Path-Traversal-Attacks-KrishnaG-CEO

2024 CWE Top 25 Most Dangerous Software Weaknesses: Improper Limitation of a Pathname to a Restricted Directory (‘Path Traversal’) CWE-22

Path traversal, also known as directory traversal, is a vulnerability that allows an attacker to access files and directories stored outside the intended directory. By exploiting improper validation of user-supplied input, attackers can manipulate file paths to access sensitive system files, configuration files, or any other data stored on the server.

SQLi-KrishnaG-CEO

Understanding the 2024 CWE Top 25 Most Dangerous Software Weaknesses: SQL Injection (CWE-89)

SQL Injection is a code injection technique that exploits a software vulnerability within the database query layer. This occurs when an application does not properly sanitise or neutralise special elements in SQL statements. Attackers craft malicious inputs to manipulate queries, gaining unauthorised access to databases or manipulating data.

Secure-GenAI-KrishnaG-CEO

GenAI: Security Teams Demand Expertise-Driven Solutions

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.