fileless attacks Archives

Tech Optimizer

May 2, 2025

The Pillars of AI-Driven Security

The cybersecurity landscape has shifted from traditional methods like firewalls and antivirus software to more sophisticated, AI-driven strategies. The 2024 Verizon Data Breach Investigations Report identifies ransomware as a leading attack type, with a median time to compromise now measured in hours. The attack surface is expanding due to remote work, cloud adoption, and IoT devices, while traditional security measures struggle to keep up. AI enhances security across three domains: prevention, detection, and response. 1. Prevention: AI distinguishes between legitimate and suspicious activities, improving predictive accuracy and enabling proactive defenses against attacks. AI models can identify zero-day malware and fileless attacks by focusing on behavior. 2. Detection: AI-powered tools like SIEM systems analyze vast amounts of data to identify risks and suspicious patterns in near real-time, reducing false positives and highlighting low-and-slow attacks and insider threats. 3. Response: AI automates rapid containment and remediation actions, allowing human analysts to focus on more complex tasks. Generative AI can assist in drafting incident reports and suggesting remediation measures. AI-driven security offers scale and efficiency, reducing breach costs significantly for organizations that utilize it. AI models adapt to evolving threats, and AI tools help bridge the cybersecurity skills gap. However, challenges include potential biases in AI models, the need for talent and change management, and privacy concerns. Organizations are encouraged to adopt AI-driven security as a core component of their digital defense strategy to improve risk posture and threat response.

Tech Optimizer

March 3, 2025

Hackers Using PowerShell and Microsoft Legitimate Apps to Deploy Malware

Cybersecurity experts are reporting an increase in fileless attacks, where cybercriminals use PowerShell and legitimate Microsoft applications to deploy malware with minimal traces. These attacks have existed for over twenty years and are effective at evading traditional antivirus solutions. Attackers exploit PowerShell to download and execute malicious payloads directly in memory, complicating detection. They also utilize LOLBAS techniques, manipulating legitimate applications like BITS to execute malware. Memory injection techniques, such as Process Hollowing, allow attackers to disguise malware as legitimate processes. To combat these threats, cybersecurity professionals recommend deploying Endpoint Detection and Response solutions, enhancing memory analysis, enabling comprehensive PowerShell logging, and implementing PowerShell Constrained Language Mode. Organizations should also monitor Active Directory and conduct regular vulnerability assessments. Traditional file-based security measures are inadequate against these evolving threats, necessitating a shift to behavior-based detection and robust monitoring.