Winnti Group is a threat group with Chinese origins that has been active since at least 2010. The group has heavily targeted the gaming industry, but it has also expanded the scope of its targeting.[1][2][3] Some reporting suggests a number of other groups, including Axiom, APT17, and Ke3chang, are closely linked to Winnti Group.[4]
6
TechniquesBottom 20%
5
Tactics26th pct
3
Tools & malware47th pct
0
CampaignsNone recorded
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
Winnti Group has registered domains for C2 that mimicked sites of their intended targets.10
Resource Developmentno detection rules
Standing G0044
Reach is how much of ATT&CK this group 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 176 ATT&CK groups 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
Techniques6Bottom 20%
20th percentile · 80% of 176 ATT&CK groups have more Enterprise techniques.
Tactics526th pct
26th percentile · 74% of 176 ATT&CK groups have more tactics spanned.
Tools & malware347th pct
47th percentile · 53% of 176 ATT&CK groups have more tools and malware.
Campaigns089% tie · 4 values
89% of the population shares a single value across only 4 distinct values, so a percentile here would rank the tie, not the entity.
Coverage
Rules / technique8medBottom 18%
18th percentile · 82% of 176 ATT&CK groups have more detection rules per technique.
Tests / technique6.5medTop 16%
84th percentile · 84% of 176 ATT&CK groups have this many atomic tests per technique or fewer.
Data comps / technique4.5med65% tie · 12 values
65% of the population shares a single value across only 12 distinct values, so a percentile here would rank the tie, not the entity.
Mitigations / technique0med43% tie · 11 values
43% of the population shares a single value across only 11 distinct values, so a percentile here would rank the tie, not the entity.
5 of 8 axes carry an honest rank on this page. Coverage medians are taken across this group’s 6 Enterprise techniques.
Range
Technique Campaign use over its cumulative rule count.
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.
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 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. (...)
The following analytic detects the execution of the curl utility where the command line includes percent-encoded characters and explicit file output options (such as -o or --output). (...)
The following analytic detects the use of download or file reading utilities from Windows, Linux or MacOS to download or read the contents of a file from a remote or local source and pipe it directly to a shell for execution. (...)