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.

PenTest-OpenWRT-KrishnaG-CEO

Penetration Testing OpenWRT: A Comprehensive Guide for Penetration Testers and Network Architects

OpenWRT, while highly customisable, is not immune to the common security flaws that affect embedded devices. These can range from default configurations to poorly secured web interfaces

ACR-Stealer-G-Docs-KrishnaG-CEO

ACRStealer Exposed: How Cybercriminals Are Exploiting Google Docs for Malware Attacks

What is ACRStealer?

ACRStealer is an **info stealer malware** designed to **extract sensitive information** from infected systems, including:

– **Antivirus identification** – determining which security solutions are present to evade detection.
– **Crypto wallet theft** – targeting stored cryptocurrency assets.
– **Login credentials theft** – stealing usernames and passwords for financial services, corporate accounts, and personal data.
– **Browser information extraction** – harvesting stored passwords, cookies, and browsing history.
– **File Transfer Protocol (FTP) credential theft** – compromising access to cloud and remote servers.
– **Text file harvesting** – reading and extracting information from text documents.

While information stealers are not new, **ACRStealer stands out** due to its **stealth tactics, sophisticated distribution, and abuse of legitimate cloud platforms**.

Unsafe-Consumption-of-API-KrishnaG-CEO

OWASP Top 10 API Security Risks – 2023: API10:2023 – Unsafe Consumption of APIs

The term “unsafe consumption of APIs” refers to the practice where developers trust data received from third-party APIs more than they trust user input, leading to weaker security standards for the data coming from these integrated services. Typically, this occurs because third-party APIs are seen as more “trusted” than direct user input, so developers may not apply the same level of scrutiny or security measures when consuming data from these external sources.