Night Dragon was a cyber espionage campaign that targeted oil, energy, and petrochemical companies, along with individuals and executives in Kazakhstan, Taiwan, Greece, and the United States. The unidentified threat actors searched for information related to oil and gas field production systems, financials, and collected data from SCADA systems. Based on the observed techniques, tools, and network activities, security researchers assessed the campaign involved a threat group based in China.[1]
29
TechniquesTop 14%
12
TacticsTop 14%
5
Tools & malwareTop 21%
0
Threat groupsNone recorded
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
During Night Dragon, threat actors used password cracking and pass-the-hash tools to discover usernames and passwords.7
Discovery47 detection rules
Standing C0002
Reach is how much of ATT&CK this campaign touches. Coverage is how well defended each thing it does is, as a median per technique rather than a total — a total would just restate the reach. Each figure is ranked against all 56 ATT&CK campaigns only where that population actually spreads. Where most of the population shares one value, a percentile would rank the tie instead of the entity, so the raw value is shown and no rank is claimed.
Reach
Techniques29Top 14%
86th percentile · 86% of 56 ATT&CK campaigns have this many Enterprise techniques or fewer.
Tactics12Top 14%
86th percentile · 86% of 56 ATT&CK campaigns have this many tactics spanned or fewer.
Tools & malware5Top 21%
79th percentile · 79% of 56 ATT&CK campaigns have this many tools and malware or fewer.
Threat groups055% tie · 3 values
55% of the population shares a single value across only 3 distinct values, so a percentile here would rank the tie, not the entity.
Coverage
Rules / technique13med52nd pct
52nd percentile · 52% of 56 ATT&CK campaigns have this many detection rules per technique or fewer.
Tests / technique1med
Night Dragon detections C0002
1258 distinct rules cover the 29 techniques recorded for this campaign. 776 Sigma · 482 Splunk.
26 covered by at least one rule3 with no coverage1258 distinct rules in total
Showing 1-50 of 1,200+ rules
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Detects file access requests to files ending with either the ".hive"/".reg" extension, usually associated with Windows Registry backups.
The following analytic identifies access to the /api/v1/configuration/users/user-roles/user-role/rest-userrole1/web/web-bookmarks/bookmark endpoint, which is associated with CVE-2023-46805 and CVE-2024-21887 vulnerabilities. (...)
Mark Morowczynski '@markmorow', MikeDuddington, '@dudders1', Tim Shelton
2022-08-11
2022-08-18
6f583da0-3a90-4566-a4ed-83c09fe18bbf
This method uses uncommon error codes on failed logons to determine suspicious activity and tampering with accounts that have been disabled or somehow restricted.
The following analytic detects potential exploitation of the Adobe ColdFusion vulnerability, CVE-2023-26360, which allows unauthenticated arbitrary file read. (...)
Mark Morowczynski '@markmorow', Bailey Bercik '@baileybercik'
2022-06-01
—
248649b7-d64f-46f0-9fb2-a52774166fb5
Resource owner password credentials (ROPC) should be avoided if at all possible as this requires the user to expose their current password credentials to the application directly. (...)
Mark Morowczynski '@markmorow', Bailey Bercik '@baileybercik'
2022-06-01
—
55695bc0-c8cf-461f-a379-2535f563c854
Detects when AppLocker "Audit only" enforcement mode reports that an Application, DLL, Script, MSI, or Packaged-App would have been blocked if AppLocker "Enforce rules" enforcement mode was enabled.
Identifies two sign-ins originating from geographically distant locations, where at least one of the locations may also be atypical for the user, given past behavior.
Detects successful deletion or disabling of an AWS GuardDuty detector, possibly by an attacker trying to avoid detection of its malicious activities. (...)