Compromise Accounts T1586
- Tactic
- Resource Development
- Platform
- PRE
- Version
- 1.2
- Created
- 01 October 2020
- Last modified
- 24 October 2025
Adversaries may compromise accounts with services that can be used during targeting. For operations incorporating social engineering, the utilization of an online persona may be important. Rather than creating and cultivating accounts (i.e. Establish Accounts), adversaries may compromise existing accounts. Utilizing an existing persona may engender a level of trust in a potential victim if they have a relationship, or knowledge of, the compromised persona.
Offense vs defense T1586
Is defensive coverage keeping up with adversary use? Eight counts, each ranked against all 697 ATT&CK techniques. Attack sits left, defense right, so a shape leaning left means adversaries are better documented here than defenders are equipped. Hover any spoke for its percentile and the share of techniques that have more. The timeline below shows when each side arrived.
How it got here
Adversary activity (campaign spans) over cumulative rule output. Each source is plotted independently from zero, so neither line includes the other. Campaign dates are year-granularity.
Compromise Accounts detection strategy DET0876
MITRE names one behaviour worth catching for this technique and breaks it into 1 analytic, one per platform. Each carries the log sources it needs and the fields you tune per environment.
Detection of Compromise Accounts
AN2008 · PRE
Consider monitoring social media activity related to your organization. Suspicious activity may include personas claiming to work for your organization or recently modified accounts making numerous connection requests to accounts affiliated with your organization. Much of this activity will take place outside the visibility of the target organization, making detection of this behavior difficult. Detection efforts may be focused on related stages of the adversary lifecycle, such as during Initial Access (ex: Phishing). 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)).
Log sources
The data this analytic draws on. You do not need every component — each one you already collect covers part of it. Each links to its ATT&CK record.
| Data component | Name | Channel |
|---|---|---|
| Social MediaDC0052 | Persona | None |
| Network Traffic ContentDC0085 | Network Traffic | None |
This technique cannot be easily mitigated with preventive controls since it is based on behaviors performed outside of the scope of enterprise defenses and controls.