Metador is a suspected cyber espionage group that was first reported in September 2022. Metador has targeted a limited number of telecommunication companies, internet service providers, and universities in the Middle East and Africa. Security researchers named the group Metador based on the "I am meta" string in one of the group's malware samples and the expectation of Spanish-language responses from C2 servers.[1]
9
Techniques30th pct
6
Tactics34th pct
2
Tools & malware39th pct
0
CampaignsNone recorded
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
Metador has downloaded tools and malware onto a compromised system.7
Command and Control131 detection rules
Standing G1013
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
Techniques930th pct
30th percentile · 70% of 176 ATT&CK groups have more Enterprise techniques.
Tactics634th pct
34th percentile · 66% of 176 ATT&CK groups have more tactics spanned.
Tools & malware239th pct
39th percentile · 61% 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 / technique15med43rd pct
43rd percentile · 57% of 176 ATT&CK groups have more detection rules per technique.
Tests / technique4med
Metador detections G1013
310 distinct rules cover the 9 techniques recorded for this group. 212 Sigma · 98 Splunk.
9 covered by at least one rule310 distinct rules in total
Showing 1-50 of 300+ rules
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MITRE ATT&CK
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Detects the deletion of the "Zone.Identifier" ADS. (...)
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.
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 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. (...)
The following analytic detects the use of `cmd.exe /c` to execute commands, a technique often employed by adversaries and malware to run batch commands or invoke other shells like PowerShell. (...)
The following analytic identifies the use of named-pipe impersonation for privilege escalation, commonly associated with Cobalt Strike and similar frameworks. (...)
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). (...)