MiniDuke is malware that was used by APT29 from 2010 to 2015. The MiniDuke toolset consists of multiple downloader and backdoor components. The loader has been used with other MiniDuke components as well as in conjunction with CosmicDuke and PinchDuke. [1]
9
Techniques44th pct
3
TacticsBottom 21%
1
Threat groupunranked
1
Campaignunranked
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
MiniDuke can can use a named pipe to forward communications from one compromised machine with internet access to other compromised machines.8
Command and Control8 detection rules
Standing S0051
Reach is how much of ATT&CK this malware 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 825 ATT&CK software entries 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
Techniques944th pct
44th percentile · 56% of 825 ATT&CK software entries have more Enterprise techniques.
Tactics3Bottom 21%
21st percentile · 79% of 825 ATT&CK software entries have more tactics spanned.
Threat group161% tie · 22 values
61% of the population shares a single value across only 22 distinct values, so a percentile here would rank the tie, not the entity.
Campaign185% tie · 8 values
85% of the population shares a single value across only 8 distinct values, so a percentile here would rank the tie, not the entity.
Coverage
Rules / technique29med73rd pct
73rd percentile · 73% of 825 ATT&CK software entries have this many detection rules per technique or fewer.
Tests / technique3med
MiniDuke detections S0051
396 distinct rules cover the 9 techniques recorded for this malware. 304 Sigma · 92 Splunk.
9 covered by at least one rule396 distinct rules in total
Showing 1-50 of 300+ rules
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MITRE ATT&CK
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Detects DNS queries made by "AppInstaller.EXE". (...)
Detects the Linux-specific execution chain of the plain-crypto-js malicious npm dependency by Axios NPM package, including payload download via curl and detached execution using nohup and python3. (...)
Detects the macOS-specific execution chain of the plain-crypto-js malicious npm dependency in Axios NPM Package, including AppleScript execution via osascript, payload download, permission modification, execution, and cleanup.
Adversaries may communicate using application layer protocols associated with web traffic to avoid detection/network filtering by blending in with existing traffic. (...)
This analytic detects potential reconnaissance activities on Cisco ASA devices by identifying execution of multiple information-gathering "show" commands within a short timeframe. (...)
This analytic detects the usage of the Utility osascript on a macOS device initiated a network connection lasting longer than 10 minutes (600 seconds). (...)
This analytic detects unexpected outbound network connections initiated by known webserver processes such as `httpd.exe`, `nginx.exe`, or `tomcat.exe` to common file sharing or public content hosting services like GitHub, Discord CDN, Transfer.sh, or Pastebin. (...)
The following analytic detects the use of known suspicious SSL certificates in any observed event where the SSL_CertFingerprint field is present. (...)
The following analytic detects potential reverse shell activity by identifying connections involving ports commonly associated with remote access tools, shell listeners, or tunneling utilities. (...)
The following analytic detects connections with a high Encrypted Visibility Engine (EVE) threat confidence score, indicating potentially malicious behavior within encrypted traffic. (...)
This analytic identifies Snort intrusion signatures that have been triggered by ten or more distinct internal IP addresses within a one-hour window. (...)