Obtain Capabilities: Artificial Intelligence
Other sub-techniques of Obtain Capabilities (7)
Adversaries may obtain access to generative artificial intelligence tools, such as large language models (LLMs), to aid various techniques during targeting. These tools may be used to inform, bolster, and enable a variety of malicious tasks, including conducting Reconnaissance, creating basic scripts, assisting social engineering, and even developing payloads.(Citation: MSFT-AI) For example, by utilizing a publicly available LLM an adversary is essentially outsourcing or automating certain tasks to the tool. Using AI, the adversary may draft and generate content in a variety of written languages to be used in Phishing/Phishing for Information campaigns. The same publicly available tool may further enable vulnerability or other offensive research supporting Develop Capabilities. AI tools may also automate technical tasks by generating, refining, or otherwise enhancing (e.g., Obfuscated Files or Information) malicious scripts and payloads.(Citation: OpenAI-CTI) Finally, AI-generated text, images, audio, and video may be used for fraud, Impersonation, and other malicious activities.(Citation: Google-Vishing24)(Citation: IC3-AI24)(Citation: WSJ-Vishing-AI24)
Mitigations |
|
| Mitigation | Description |
|---|---|
| Pre-compromise |
Pre-compromise mitigations involve proactive measures and defenses implemented to prevent adversaries from successfully identifying and exploiting weaknesses during the Reconnaissance and Resource Development phases of an attack. These activities focus on reducing an organization's attack surface, identify adversarial preparation efforts, and increase the difficulty for attackers to conduct successful operations. This mitigation can be implemented through the following measures: Limit Information Exposure: - Regularly audit and sanitize publicly available data, including job posts, websites, and social media. - Use tools like OSINT monitoring platforms (e.g., SpiderFoot, Recon-ng) to identify leaked information. Protect Domain and DNS Infrastructure: - Enable DNSSEC and use WHOIS privacy protection. - Monitor for domain hijacking or lookalike domains using services like RiskIQ or DomainTools. External Monitoring: - Use tools like Shodan, Censys to monitor your external attack surface. - Deploy external vulnerability scanners to proactively address weaknesses. Threat Intelligence: - Leverage platforms like MISP, Recorded Future, or Anomali to track adversarial infrastructure, tools, and activity. Content and Email Protections: - Use email security solutions like Proofpoint, Microsoft Defender for Office 365, or Mimecast. - Enforce SPF/DKIM/DMARC policies to protect against email spoofing. Training and Awareness: - Educate employees on identifying phishing attempts, securing their social media, and avoiding information leaks. |
Detection
Much of this activity will take place outside the visibility of the target organization, making detection of this behavior difficult. Detection efforts may be focused on behaviors relating to the potential use of generative artificial intelligence (i.e. Phishing, Phishing for Information).
References
- OpenAI. (2024, February 14). Disrupting malicious uses of AI by state-affiliated threat actors. Retrieved September 12, 2024.
- Microsoft Threat Intelligence. (2024, February 14). Staying ahead of threat actors in the age of AI. Retrieved March 11, 2024.
- IC3. (2024, December 3). Criminals Use Generative Artificial Intelligence to Facilitate Financial Fraud. Retrieved March 18, 2025.
- Emily Astranova, Pascal Issa. (2024, July 23). Whose Voice Is It Anyway? AI-Powered Voice Spoofing for Next-Gen Vishing Attacks. Retrieved March 18, 2025.
- Catherine Stupp. (2019, August 30). Fraudsters Used AI to Mimic CEO’s Voice in Unusual Cybercrime Case. Retrieved March 18, 2025.
Связанные риски
Каталоги
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