AppleJeus is a family of downloaders initially discovered in 2018 embedded within trojanized cryptocurrency applications. AppleJeus has been used by Lazarus Group, targeting companies in the energy, finance, government, industry, technology, and telecommunications sectors, and several countries including the United States, United Kingdom, South Korea, Australia, Brazil, New Zealand, and Russia. AppleJeus has been used to distribute the FALLCHILL RAT.[1]
20
TechniquesTop 20%
9
TacticsTop 11%
1
Threat groupunranked
0
CampaignsNone recorded
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
AppleJeus has XOR-encrypted collected system information prior to sending to a C2. AppleJeus has also used the open source ADVObfuscation library for its components.2
AppleJeus has sent data to its C2 server via POST requests.89
Command and Control60 detection rules
Standing S0584
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
Techniques20Top 20%
80th percentile · 80% of 825 ATT&CK software entries have this many Enterprise techniques or fewer.
Tactics9Top 11%
89th percentile · 89% 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 / technique19.5med43rd pct
43rd percentile · 57% of 825 ATT&CK software entries have more detection rules per technique.
Tests / technique8med72nd pct
72nd percentile · 72% of 825 ATT&CK software entries have this many atomic tests per technique or fewer.
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 / technique2medTop 9%
91st percentile · 91% of 825 ATT&CK software entries have this many mitigations per technique or fewer.
5 of 8 axes carry an honest rank on this page. Coverage medians are taken across this malware’s 20 Enterprise techniques.
Range
Technique Campaign use over its cumulative rule count.
Teymur Kheirkhabarov (idea), Mangatas Tondang (rule), oscd.community
2020-10-13
2024-12-01
cd951fdc-4b2f-47f5-ba99-a33bf61e3770
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.
The following analytic detects the creation of a batch file (.bat) within the Windows system directory tree, specifically in the System32 or SysWOW64 folders. (...)
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. (...)
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 potential reconnaissance activities on Cisco ASA devices by identifying execution of multiple information-gathering "show" commands within a short timeframe. (...)
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 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. (...)
The following analytic detects potentially suspicious large volumes of data sent by the connection initiator on flows from internal to external networks. (...)