Get2 has the ability to identify the computer name and Windows version of an infected host.7
Discovery54 detection rules
Standing S0460
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
Techniques629th pct
29th percentile · 71% of 825 ATT&CK software entries have more Enterprise techniques.
Tactics541st pct
41st percentile · 59% 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.
Campaigns085% 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 / technique50.5medTop 8%
92nd percentile · 92% of 825 ATT&CK software entries have this many detection rules per technique or fewer.
Tests / technique5.5med45th pct
45th percentile · 55% of 825 ATT&CK software entries have more atomic tests per technique.
Data comps / technique4med54% tie · 11 values
54% of the population shares a single value across only 11 distinct values, so a percentile here would rank the tie, not the entity.
Mitigations / technique0.5medBottom 23%
23rd percentile · 77% of 825 ATT&CK software entries have more mitigations per technique.
5 of 8 axes carry an honest rank on this page. Coverage medians are taken across this malware’s 6 Enterprise techniques.
Range
Technique Campaign use over its cumulative rule count.
Adversaries may communicate using application layer protocols associated with web traffic to avoid detection/network filtering by blending in with existing traffic. (...)
The following analytic identifies the execution of the "whoami" command with the "/group" flag, where the results are passed to the "find" command in order to look for a the string "12288". (...)
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 suspicious python package installations where the package name resembles popular Python libraries but may be typosquatted or slightly altered. (...)
This analytic detects the usage of the Utility osascript on a macOS device initiated a network connection lasting longer than 10 minutes (600 seconds). (...)
The following analytic detects file downloads involving executable, archive, or scripting-related file types that are commonly used in malware delivery. (...)
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 connections with a high Encrypted Visibility Engine (EVE) threat confidence score, indicating potentially malicious behavior within encrypted traffic. (...)
This analytic detects HTTP requests to privileged execution paths on Cisco routers, specifically targeting the `/level/15/exec/-/*` endpoint using Cisco Secure Firewall Intrusion Events. (...)
Detects when the Console Window Host (conhost.exe) process is spawned by an uncommon parent process, which could be indicative of potential code injection activity.
Detects exploitation attempt of CVE-2023-22518 (Confluence Data Center / Confluence Server), where an attacker can exploit vulnerable endpoints to e.g. (...)