Auditing is the process of recording activity and systematically reviewing and analyzing the activity and system configurations. The primary purpose of auditing is to detect anomalies and identify potential threats or weaknesses in the environment. Proper auditing configurations can also help to meet compliance requirements. The process of auditing encompasses regular analysis of user behaviors and system logs in support of proactive security measures. Auditing is applicable to all systems used within an organization, from the front door of a building to accessing a file on a fileserver. It is considered more critical for regulated industries such as, healthcare, finance and government where compliance requirements demand stringent tracking of user and system activates.This mitigation can be implemented through the following measures: System Audit: - Use Case: Regularly assess system co…
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
Chat Messages
Adversaries may directly collect unsecured credentials stored or passed through user communication services. Credentials may be sent and stored in user chat communication applications such as email, chat services like Slack or Teams, collaboration tools like Jira or Trello, and any other services that support user communication. Users may share various forms of credentials (such as usernames and passwords, API keys, or authentication tokens) on private or public corporate internal communications channels. Rather than accessing the stored chat logs (i.e., Credentials In Files), adversaries may directly access credentials within these services on the user endpoint, through servers hosting the services, or through administrator portals for cloud hosted services. Adversaries may also compromise integration tools like Slack Workflows to automatically search through messages to extract user credentials. These credentials may then be abused to perform follow-on activities such as lateral movement or privilege escalation .
Open detection, hunting, mitigation, and evidence workspace
Detection logic
Use behavior-focused telemetry and validate findings against surrounding activity.
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.
Blue Team & Defensive Security · Tactic learning route · 24/100Human, workload, pipeline, and emergency identity
Cloud Security · Tactic learning route · 24/100Disk, file-system, and persistence forensics
Digital Forensics & Incident Response (DFIR) · Tactic learning route · 24/100
MITRE mitigations
User Training involves educating employees and contractors on recognizing, reporting, and preventing cyber threats that rely on human interaction, such as phishing, social engineering, and other manipulative techniques. Comprehensive training programs create a human firewall by empowering users to be an active component of the organization's cybersecurity defenses. This mitigation can be implemented through the following measures: Create Comprehensive Training Programs: - Design training modules tailored to the organization's risk profile, covering topics such as phishing, password management, and incident reporting. - Provide role-specific training for high-risk employees, such as helpdesk staff or executives. Use Simulated Exercises: - Conduct phishing simulations to measure user susceptibility and provide targeted follow-up training. - Run social engineering drills to evaluate employ…
MITRE mitigation sourceMITRE detection strategies and analytics
- AN0309 · Analytic 0309 — Detection correlates message events in email and collaboration tools (e.g., Outlook, Teams) that contain regex-like patterns resembling credentials, API keys, or tokens. Anomalous forwarding or bulk copy activity of chat/email content containing secrets is flagged. Suspicious behavior includes users pasting secrets into direct messages or attaching config files with passwords.
- AN0310 · Analytic 0310 — Detection monitors SaaS collaboration tools (e.g., Slack, Zoom, Jira) for messages or files containing credential-like patterns, or for suspicious API calls retrieving bulk chat histories by non-admin users. Identifies adversary behavior chains where chat logs are queried via APIs or integration bots to systematically extract sensitive material.