Has collected lists of names for individuals from targeted organizations.1
Employee Names T1589.003
- Tactic
- Reconnaissance
- Platform
- PRE
- Version
- 1.0
- Created
- 02 October 2020
- Last modified
- 24 October 2025
Adversaries may gather employee names that can be used during targeting. Employee names be used to derive email addresses as well as to help guide other reconnaissance efforts and/or craft more-believable lures.
Employee Names MITRE reference T1589.003
3 groups have been recorded using this technique. Newest first; each entry carries MITRE’s procedure text and a link to the group’s full record. Click a name to filter the rules below.
Has collected victim employee name information.1
Sandworm Team's research of potential victim organizations included the identification and collection of employee information.1
All 3 groups for this technique
Offense vs defense T1589.003
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.
Employee Names detection strategy DET0857
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 Employee Names
AN1989 · PRE
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.
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. Efforts should focus on minimizing the amount and sensitivity of data available to external parties.