Matryoshka obfuscates API function names using a substitute cipher combined with Base64 encoding.3
tool
Matryoshka S0167
- Type
- malware
- Platform
- Windows
- Created
- 16 January 2018
- Last modified
- 17 November 2024
Matryoshka is a malware framework used by CopyKittens that consists of a dropper, loader, and RAT. It has multiple versions; v1 was seen in the wild from July 2016 until January 2017. v2 has fewer commands and other minor differences. [1] [2]
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
MITRE reference S0167
Matryoshka can establish persistence by adding a Scheduled Task named "Microsoft Boost Kernel Optimization".45
Matryoshka uses reflective DLL injection to inject the malicious library and execute the RAT.6
Matryoshka is capable of keylogging.78
Matryoshka is capable of providing Meterpreter shell access.9
Matryoshka uses DNS for C2.1011
Standing S0167
Reach is how much of ATT&CK this tool 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
47th percentile · 53% of 825 ATT&CK software entries have more Enterprise techniques.
68th percentile · 68% of 825 ATT&CK software entries have this many tactics spanned or fewer.
61% of the population shares a single value across only 22 distinct values, so a percentile here would rank the tie, not the entity.
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
86th percentile · 86% of 825 ATT&CK software entries have this many detection rules per technique or fewer.
Detection coverage S0167
513 distinct rules cover the 10 techniques recorded for this tool. The 522 technique-to-rule mappings resolve to 513 distinct rules, because one rule can cover several techniques. 385 Sigma · 128 Splunk.
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