Cyber Threat Intelligence

Defend-DeepFake-Cyber-Attacks-KrishnaG-CEO

Defending Against Deepfake-Enabled Cyberattacks: Four Cost-Effective Strategies for C-Suite Leaders

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The rapid advancement of deepfake technology has transformed the cybersecurity threat landscape, particularly for C-level executives. Deepfake-enabled cyberattacks exploit artificial intelligence (AI) to create highly convincing fake videos, audio recordings, and images. These attacks are not merely theoretical; they are being actively used to defraud organisations, manipulate financial transactions, and compromise sensitive information.
For C-suite executives, the implications of deepfake threats are severe. Attackers can impersonate senior leadership to authorise fraudulent wire transfers, extract confidential data, or even manipulate corporate decision-making. Given the high stakes, it is critical for organisations to implement effective countermeasures.

ACR-Stealer-G-Docs-KrishnaG-CEO

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

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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**.

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Emulation Detection Evasion: Safeguarding Against Evasive Malware Strategies

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Emulation detection evasion is a set of techniques employed by malware to detect analysis environments such as sandboxes or virtual machines and evade detection by altering their execution. By identifying the presence of emulation artifacts or behaviours, malware can stop executing or behave benignly, thereby avoiding detection and analysis.

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Malware Analysis and Cyber Forensics: An In-Depth Guide for the C-Suite

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Cyber forensics is crucial in post-incident response, enabling organisations to understand the full scope of an attack and attribute it to specific entities. Malware analysis is a systematic investigation into malicious software to understand its intent, functionality, and impact. The process can be broken down into two primary methodologies: static analysis and dynamic analysis.