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Attack Patterns T1682 — Query Public AI Services
T1682

Query Public AI Services

Reconnaissance
TLP:CLEAR

Description

Adversaries may query publicly accessible artificial intelligence (AI) services, such as large language models (LLMs), to support targeting and operations. In addition to searching websites or databases directly (i.e., Search Open Websites/Domains), adversaries may use AI services to synthesize, aggregate, and analyze publicly available information at scale. This may include identifying individuals or organizations to target, researching organizational structures and personnel, identifying technologies used by target organizations, researching business relationships to develop plausible pretexts for Social Engineering approaches, identifying contact information for use in Phishing or Phishing for Information, or gathering derogatory or sensitive information about individuals that may be used for extortion or coercion.(Citation: MSFT-AI)(Citation: GTIG AI Threat Tracker) Information gathered through AI services may be leveraged for other behaviors, such as establishing operational resources (i.e., Generate Content or Establish Accounts. For obtaining access to AI tools and services, see Artificial Intelligence.

MITRE ATT&CK Detection Strategies
1

DET0919 Detection of Query Public AI Services
AN2062 PRE

Much of this takes place outside the visibility of the target organization, making detection difficult for defenders. Detection efforts may be focused on related stages of the adversary lifecycle, such as during Initial Access.

MITRE ATT&CK Mitigations
1

M1056

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.

Details

Platforms
Pre
Added
May 2, 2026
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