Covers advanced post-exploitation and AI attacks including bypassing endpoint protections, establishing persistence, exploiting AI vulnerabilities through prompt injection, and exfiltrating data from internal networks and cloud deployments. Includes hijacking attacks (DLL, token, session), pivoting and lateral movement with C2 frameworks, endpoint security bypass including application allow list evasion, and methods attackers use to hide their presence. Also covers defending against and detecting these advanced techniques. Maps to GIAC objectives: Detecting Evasive and Post-Exploitation Techniques, Endpoint Attack and Pivoting, and Integrating LLMs with Offensive Operations. (~20% of exam)
5 minutes
5 Questions
Post-Exploitation, Evasion, and AI Attacks are critical topics covered in the GIAC Certified Incident Handler (GCIH) certification, each representing advanced stages and techniques in the cyber attack lifecycle.
**Post-Exploitation** refers to the actions an attacker takes after successfully gaining initial access to a target system. This phase includes privilege escalation, lateral movement across networks, establishing persistence mechanisms (such as backdoors, scheduled tasks, or registry modifications), credential harvesting, data exfiltration, and maintaining long-term access. Attackers may deploy tools like Meterpreter, Cobalt Strike, or Empire to automate post-exploitation tasks. Incident handlers must understand these techniques to detect indicators of compromise, assess the scope of a breach, and effectively contain and remediate threats.
**Evasion** encompasses techniques attackers use to avoid detection by security controls such as antivirus software, intrusion detection/prevention systems (IDS/IPS), firewalls, and endpoint detection and response (EDR) tools. Common evasion methods include obfuscation, encryption of payloads, fileless malware, living-off-the-land binaries (LOLBins), polymorphic code, process injection, timestomping, and log tampering. Attackers may also use tunneling protocols, domain fronting, or steganography to disguise malicious communications. Understanding evasion techniques helps incident handlers improve detection capabilities, tune security tools, and recognize sophisticated attack patterns that bypass traditional defenses.
**AI Attacks** represent an emerging threat landscape where adversaries leverage artificial intelligence and machine learning to enhance their attacks. This includes AI-generated phishing emails that are highly convincing, deepfake audio and video for social engineering, automated vulnerability discovery, adversarial machine learning attacks that poison or manipulate AI-based security systems, and intelligent malware that adapts its behavior to evade detection. Attackers can also use AI to automate reconnaissance, optimize attack strategies, and scale operations. Incident handlers must stay informed about these evolving threats to develop appropriate countermeasures and response strategies that address AI-powered attack vectors.Post-Exploitation, Evasion, and AI Attacks are critical topics covered in the GIAC Certified Incident Handler (GCIH) certification, each representing advanced stages and techniques in the cyber attack lifecycle.
**Post-Exploitation** refers to the actions an attacker takes after successfully gaini…
