Multi-Factor Authentication (MFA) enhances security by requiring users to provide at least two forms of verification to prove their identity before granting access. These factors typically include: - *Something you know*: Passwords, PINs. - *Something you have*: Physical tokens, smartphone authenticator apps. - *Something you are*: Biometric data such as fingerprints, facial recognition, or retinal scans. Implementing MFA across all critical systems and services ensures robust protection against account takeover and unauthorized access. This mitigation can be implemented through the following measures: Identity and Access Management (IAM): - Use IAM solutions like Azure Active Directory, Okta, or AWS IAM to enforce MFA policies for all user logins, especially for privileged roles. - Enable conditional access policies to enforce MFA for risky sign-ins (e.g., unfamiliar devices, geolocati…
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
Data from Information Repositories
Adversaries may leverage information repositories to mine valuable information. Information repositories are tools that allow for storage of information, typically to facilitate collaboration or information sharing between users, and can store a wide variety of data that may aid adversaries in further objectives, such as Credential Access, Lateral Movement, or Defense Evasion, or direct access to the target information. Adversaries may also abuse external sharing features to share sensitive documents with recipients outside of the organization (i.e., Transfer Data to Cloud Account). The following is a brief list of example information that may hold potential value to an adversary and may also be found on an information repository: * Policies, procedures, and standards * Physical / logical network diagrams * System architecture diagrams * Technical system documentation * Testing / development credentials (i.e., Unsecured Credentials) * Work / project schedules * Source code snippets * Links to network shares and other internal resources * Contact or other sensitive information about business partners and customers, including personally identifiable information (PII) Information stored in a repository may vary based on the specific instance or environment. Specific common information repositories include the following: * Storage services such as IaaS databases, enterprise databases, and more specialized platforms such as customer relationship management (CRM) databases * Collaboration platforms such as SharePoint, Confluence, and code repositories * Messaging platforms such as Slack and Microsoft Teams In some cases, information repositories have been improperly secured, typically by unintentionally allowing for overly-broad access by all users or even public access to unauthenticated users. This is particularly common with cloud-native or cloud-hosted services, such as AWS Relational Database Service (RDS), Redis, or ElasticSearch.
Open detection, hunting, mitigation, and evidence workspace
Detection logic
As information repositories generally have a considerably large user base, detection of malicious use can be non-trivial. At minimum, access to information repositories performed by privileged users (for example, Active Directory Domain, Enterprise, or Schema Administrators) should be closely monitored and alerted upon, as these types of accounts should generally not be used to access information repositories. If the capability exists, it may be of value to monitor and alert on users that are retrieving and viewing a large number of documents and pages; this behavior may be indicative of programmatic means being used to retrieve all data within the repository. In environments with high-maturity, it may be possible to leverage User-Behavioral Analytics (UBA) platforms to detect and alert on user based anomalies. The user access logging within Microsoft's SharePoint can be configured to report access to certain pages and documents. Sharepoint audit logging can also be configured to report when a user shares a resource. The user access logging within Atlassian's Confluence can also be configured to report access to certain pages and documents through AccessLogFilter. Additional log storage and analysis infrastructure will likely be required for more robust detection capabilities.
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.
Cloud Security · Governed topic match · 81/100Prompt injection, instruction hierarchy, and secure output handling
AI Security · Governed topic match · 69/100Training data, ingestion, retrieval, RAG, and knowledge integrity
AI Security · Governed topic match · 60/100Privacy, secrets, confidential data, and model leakage
AI Security · Governed topic match · 60/100Agents, tools, plugins, browsers, and MCP security
AI Security · Governed topic match · 60/100Identity, authorization, tenancy, and human approval
AI Security · Governed topic match · 60/100AI red teaming, evaluation, and reproducible security testing
AI Security · Governed topic match · 60/100Governance, risk, assurance, transparency, and human factors
AI Security · Governed topic match · 60/100Logging, monitoring, detection, and security analytics
AI Security · Governed topic match · 57/100AI incident response and forensic readiness
AI Security · Governed topic match · 57/100Secure AI development lifecycle and production release gate
AI Security · Governed topic match · 57/100Incident declaration, triage, scope, and hypotheses
Digital Forensics & Incident Response (DFIR) · Governed topic match · 54/100
MITRE mitigations
Establish secure out-of-band communication channels to ensure the continuity of critical communications during security incidents, data integrity attacks, or in-network communication failures. Out-of-band communication refers to using an alternative, separate communication path that is not dependent on the potentially compromised primary network infrastructure. This method can include secure messaging apps, encrypted phone lines, satellite communications, or dedicated emergency communication systems. Leveraging these alternative channels reduces the risk of adversaries intercepting, disrupting, or tampering with sensitive communications and helps coordinate an effective incident response.(Citation: TrustedSec OOB Communications)(Citation: NIST Special Publication 800-53 Revision 5)
MITRE mitigation sourceUser 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 sourceSoftware configuration refers to making security-focused adjustments to the settings of applications, middleware, databases, or other software to mitigate potential threats. These changes help reduce the attack surface, enforce best practices, and protect sensitive data. This mitigation can be implemented through the following measures: Conduct a Security Review of Application Settings: - Review the software documentation to identify recommended security configurations. - Compare default settings against organizational policies and compliance requirements. Implement Access Controls and Permissions: - Restrict access to sensitive features or data within the software. - Enforce least privilege principles for all roles and accounts interacting with the software. Enable Logging and Monitoring: - Configure detailed logging for key application events such as authentication failures, configura…
MITRE mitigation sourceUser Account Management involves implementing and enforcing policies for the lifecycle of user accounts, including creation, modification, and deactivation. Proper account management reduces the attack surface by limiting unauthorized access, managing account privileges, and ensuring accounts are used according to organizational policies. This mitigation can be implemented through the following measures: Enforcing the Principle of Least Privilege - Implementation: Assign users only the minimum permissions required to perform their job functions. Regularly audit accounts to ensure no excess permissions are granted. - Use Case: Reduces the risk of privilege escalation by ensuring accounts cannot perform unauthorized actions. Implementing Strong Password Policies - Implementation: Enforce password complexity requirements (e.g., length, character types). Require password expiration every 90…
MITRE mitigation sourceAuditing 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 sourceProtect sensitive information at rest, in transit, and during processing by using strong encryption algorithms. Encryption ensures the confidentiality and integrity of data, preventing unauthorized access or tampering. This mitigation can be implemented through the following measures: Encrypt Data at Rest: - Use Case: Use full-disk encryption or file-level encryption to secure sensitive data stored on devices. - Implementation: Implement BitLocker for Windows systems or FileVault for macOS devices to encrypt hard drives. Encrypt Data in Transit: - Use Case: Use secure communication protocols (e.g., TLS, HTTPS) to encrypt sensitive data as it travels over networks. - Implementation: Enable HTTPS for all web applications and configure mail servers to enforce STARTTLS for email encryption. Encrypt Backups: - Use Case: Ensure that backup data is encrypted both during storage and transfer to…
MITRE mitigation sourceMITRE detection strategies and analytics
- AN1160 · Analytic 1160 — Programmatic or excessive access to file shares, SharePoint, or database repositories by users not typically interacting with them. This includes abnormal access by privileged accounts, enumeration of large numbers of files, or downloads of sensitive content in bursts.
- AN1161 · Analytic 1161 — Command-line tools (e.g., curl, rsync, wget, or custom Python scripts) used to scrape documentation systems or internal REST APIs. Unusual access patterns to knowledge base folders or shared team drives.
- AN1162 · Analytic 1162 — Abuse of SaaS platforms such as Confluence, GitHub, SharePoint Online, or Slack to access excessive internal documentation or export source code/data. Includes use of tokens or browser automation from unapproved IPs.
- AN1163 · Analytic 1163 — Access of mounted cloud shares or document repositories via browser, terminal, or Finder by users not typically interacting with those resources. Includes script-based enumeration or mass download.