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Adversaries may gather employee names that can be used during targeting.
Passed 21 of 25 test cases with the skill, and 15 of 25 without it.
and 5 more in the full report
6 fixed15 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
Which historical breach report is explicitly cited in T1589.003 documentation regarding large-scale victim identity data exposure?
| Checked | Without skill | With skill |
|---|---|---|
| Cites the OPM Leak reference. | Missed | Passed |
The instructions your model reads when the skill loads.
Sub-technique of: T1589
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.
Adversaries may easily gather employee names, since they may be readily available and exposed via online or other accessible data sets (ex: Social Media or Search Victim-Owned Websites). Gathering this information may reveal opportunities for other forms of reconnaissance (ex: Search Open Websites/Domains or Phishing for Information), establishing operational resources (ex: Compromise Accounts), and/or initial access (ex: Phishing or Valid Accounts).
Platforms: PRE
Identify Attack Surface: Determine if the target environment is susceptible to Employee Names by examining the target platforms (PRE).
Assess Existing Defenses: Review whether mitigations for T1589.003 are in place. If defenses are absent or misconfigured, this technique may be exploitable.
Execute Test: Use tools and methods described in the MITRE ATT&CK page and external references below.
Note: No Atomic Red Team tests available for this technique. See Atomic Red Team GitHub for updates.
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.
test cases passed, vs 15 / 25 without
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