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
Active Scanning
Adversaries may execute active reconnaissance scans to gather information that can be used during targeting. Active scans are those where the adversary probes victim infrastructure via network traffic, as opposed to other forms of reconnaissance that do not involve direct interaction. Adversaries may perform different forms of active scanning depending on what information they seek to gather. These scans can also be performed in various ways, including using native features of network protocols such as ICMP. Information from these scans may reveal opportunities for other forms of reconnaissance (ex: Search Open Websites/Domains or Search Open Technical Databases), establishing operational resources (ex: Develop Capabilities or Obtain Capabilities), and/or initial access (ex: External Remote Services or Exploit Public-Facing Application).
Open detection, hunting, mitigation, and evidence workspace
Detection logic
Monitor for suspicious network traffic that could be indicative of scanning, such as large quantities originating from a single source (especially if the source is known to be associated with an adversary/botnet). Analyzing web metadata may also reveal artifacts that can be attributed to potentially malicious activity, such as referer or user-agent string HTTP/S fields. 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
OP Innovate · direct source mappingCTI Research: LLM/AI/MCP Usage in the Cyber Kill Chain
1200km CTI repository · explicit report mentionCTI Research: LLM/AI/MCP Usage in the Cyber Kill Chain
1200km CTI repository · explicit report mentionDefensive Cyber Threat Intelligence Report: Israeli Critical Infrastructure and Geopolitical Escalation (2024-2026)
Israel Threat Actors CTI · explicit report mentionExecutive Summary
Israel Threat Actors CTI · explicit report mentionMalicious Activity as a Statistical Signal: A Detection Engineering Analysis of Anomaly-Based Detection
1200km CTI repository · explicit report mentionMalicious Activity as a Statistical Signal A Detection Engineering Analysis of Anomaly Based
1200km Medium · authored report mention
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.
Blue Team & Defensive Security · Exact technique name · 92/100Authority, ethics, privacy, safety, and operational security
OSINT & Reconnaissance · Exact technique name · 92/100AI-assisted OSINT with bounded tools, citations, and human review
OSINT & Reconnaissance · Exact technique name · 92/100Internet exposure, service indexes, and infrastructure search
OSINT & Reconnaissance · Governed topic match · 75/100Search engines, web archives, public records, and documents
OSINT & Reconnaissance · Governed topic match · 66/100Web, API, mobile, and application reconnaissance
OSINT & Reconnaissance · Governed topic match · 57/100Module 4 — Collection Sources
Cyber Threat Intelligence (CTI) · Tactic learning route · 24/100
MITRE mitigations
MITRE detection strategies and analytics
- AN1962 · Analytic 1962 — Monitor network data for uncommon data flows. Processes utilizing the network that do not normally have network communication or have never been seen before are suspicious. Monitor and analyze traffic patterns and packet inspection associated to protocol(s) that do not follow the expected protocol standards and traffic flows (e.g extraneous packets that do not belong to established flows, gratuitous or anomalous traffic patterns, anomalous syntax, or structure). Consider correlation with process monitoring and command line to detect anomalous processes execution and command line arguments associated to traffic patterns (e.g. monitor anomalies in use of files that do not normally initiate connections for respective protocol(s)).