Green Lambert is a modular backdoor that security researchers assess has been used by an advanced threat group referred to as Longhorn and The Lamberts. First reported in 2017, the Windows variant of Green Lambert may have been used as early as 2008; a macOS version was uploaded to a multiscanner service in September 2014.[1][2]
18
TechniquesTop 25%
8
TacticsTop 20%
0
Threat groupsNone recorded
0
CampaignsNone recorded
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
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
Techniques18Top 25%
75th percentile · 75% of 825 ATT&CK software entries have this many Enterprise techniques or fewer.
Tactics8Top 20%
80th percentile · 80% of 825 ATT&CK software entries have this many tactics spanned or fewer.
Threat groups061% 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 / technique21med49th pct
49th percentile · 51% of 825 ATT&CK software entries have more detection rules per technique.
Tests / technique4med
Green Lambert detections S0690
396 distinct rules cover the 18 techniques recorded for this malware. 293 Sigma · 103 Splunk.
18 covered by at least one rule396 distinct rules in total
Showing 1-50 of 300+ rules
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MITRE ATT&CK
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Detects suspicious local connections via a named pipe to the AD FS configuration database (Windows Internal Database). (...)
The following analytic detects the execution of tools commonly exploited by cybercriminals, such as those used for unauthorized access, network scanning, privilege escalation, password dumping or data exfiltration. (...)
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. (...)
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 creation of a Cisco IOS-XE tunnel interface with tunnel source, tunnel destination, and an IP address in the 10.10.12.0 network. (...)
This analytic identifies Snort intrusion signatures that have been triggered by ten or more distinct internal IP addresses within a one-hour window. (...)
Tim Ismilyaev, oscd.community, Florian Roth (Nextron Systems)
2020-10-19
2021-11-27
b120b587-a4c2-4b94-875d-99c9807d6955
Splunk
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 identifies specific GET or HEAD requests to web servers that indicate reconnaissance attempts to find vulnerable JBoss servers. (...)