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 Domain…
MITRE mitigation sourceAdversaryGraph public intelligence page
This page is part of Threat Matrix, the public browser workspace for the main AdversaryGraph platform. Use it for ATT&CK pivots, actor and technique context, similarity leads, detection coverage review, and analyst-ready investigation paths.
Validation disclaimer: TTP overlap, actor similarity, generated summaries, and coverage findings are investigation leads, not attribution proof or operational validation without analyst review.
Main AdversaryGraph project Documentation Malware Analysis GitHub
IP Addresses
Adversaries may gather the victim's IP addresses that can be used during targeting. Public IP addresses may be allocated to organizations by block, or a range of sequential addresses. Information about assigned IP addresses may include a variety of details, such as which IP addresses are in use. IP addresses may also enable an adversary to derive other details about a victim, such as organizational size, physical location(s), Internet service provider, and or where/how their publicly-facing infrastructure is hosted. Adversaries may gather this information in various ways, such as direct collection actions via Active Scanning or Phishing for Information. Information about assigned IP addresses may also be exposed to adversaries via online or other accessible data sets (ex: Search Open Technical Databases). Gathering this information may reveal opportunities for other forms of reconnaissance (ex: Active Scanning or Search Open Websites/Domains), establishing operational resources (ex: Acquire Infrastructure or Compromise Infrastructure), and/or initial access (ex: External Remote Services).
Open detection, hunting, mitigation, and evidence workspace
Detection logic
Much of this activity may have a very high occurrence and associated false positive rate, as well as potentially taking 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.
Observed actors
Correlated CTI and IR reports
Cyber Knowledge context
Use these routes to move from the ATT&CK behavior into explanation, implementation, evidence handling, validation, and defensive operations. Relevance is generated from explicit identifiers/names and governed topic mappings; it is not attribution evidence.
Cyber Threat Intelligence (CTI) · Exact technique name · 92/100Module 10 — Cloud, containers, Kubernetes, and SaaS defense
Blue Team & Defensive Security · Exact technique name · 92/100Domain, DNS, RDAP, certificate transparency, and routing research
OSINT & Reconnaissance · Governed topic match · 75/100Authority, ethics, privacy, safety, and operational security
OSINT & Reconnaissance · Governed topic match · 66/100Threat infrastructure, IOC enrichment, campaign pivots, and attribution restraint
OSINT & Reconnaissance · Governed topic match · 63/100Web, API, mobile, and application reconnaissance
OSINT & Reconnaissance · Governed topic match · 54/100Module 4 — Collection Sources
Cyber Threat Intelligence (CTI) · Tactic learning route · 24/100
MITRE mitigations
MITRE detection strategies and analytics
- AN1947 · Analytic 1947 — Much of this activity may have a very high occurrence and associated false positive rate, as well as potentially taking 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.