MacMa is a macOS-based backdoor with a large set of functionalities to control and exfiltrate files from a compromised computer. MacMa has been observed in the wild since November 2021.[1]MacMa shares command and control and unique libraries with MgBot and Nightdoor, indicating a relationship with the Daggerfly threat actor.[2]
27
TechniquesTop 10%
11
TacticsTop 2%
1
Threat groupunranked
0
CampaignsNone recorded
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
MacMa can use Core Graphics Event Taps to intercept user keystrokes from any text input field and saves them to text files. Text input fields include Spotlight, Finder, Safari, Mail, Messages, and other apps that have text fields for passwords.89
Credential Access · Collection3 detection rules
Standing S1016
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
Techniques27Top 10%
90th percentile · 90% of 825 ATT&CK software entries have this many Enterprise techniques or fewer.
Tactics11Top 2%
98th percentile · 98% of 825 ATT&CK software entries have this many tactics spanned or fewer.
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 / technique10medBottom 15%
15th percentile · 85% of 825 ATT&CK software entries have more detection rules per technique.
Tests / technique5med42nd pct
42nd percentile · 58% 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 / technique0medBottom 17%
17th percentile · 83% 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 27 Enterprise techniques.
Range
Technique Campaign use over its cumulative rule count.
487 distinct rules cover the 27 techniques recorded for this malware. 333 Sigma · 154 Splunk.
26 covered by at least one rule1 with no coverage487 distinct rules in total
Showing 1-50 of 400+ rules
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MITRE ATT&CK
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Detects when a Microsoft Cloud App Security reported when users were active from an IP address that has been identified as an anonymous proxy IP address.
Detects when a Microsoft Cloud App Security reported when an activity occurs from a location that wasn't recently or never visited by any user in the organization.
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.
The following analytic detects the use of CertUtil.exe with the 'decode' argument, which may indicate an attempt to decode a previously encoded file, potentially containing malicious payloads. (...)
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 the creation or modification of network interfaces on Cisco devices, which could indicate an attacker establishing persistence or preparing for lateral movement. (...)
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. (...)