MiniJunk is a custom malware designed for long-term persistence and remote code execution.[1]MiniJunk was first observed in 2025 and is a modified version of the MiniBike framework that was first observed in June 2022.[1]MiniJunk has been affiliated with the cyber espionage threat group NIMBUS MANTICORE.[1]
15
Techniques67th pct
8
TacticsTop 20%
1
Threat groupunranked
0
CampaignsNone recorded
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
MiniJunk has obfuscated code that utilized junk code insertion, control-flow obfuscation, opaque predicates, obfuscated function calls, and encrypted strings to hinder analysis.4
MiniJunk has encoded network data by converting strings into bytes, then reversing the bytes and the entire strings. MiniJunk has also encrypted strings to obfuscate code.5
MiniJunk has the ability to validate running processes.9
Discovery10 detection rules
Standing S9053
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 842 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
Techniques1567th pct
67th percentile · 67% of 842 ATT&CK software entries have this many Enterprise techniques or fewer.
Tactics8Top 20%
80th percentile · 80% of 842 ATT&CK software entries have this many tactics spanned or fewer.
Threat group162% tie · 22 values
62% of the population shares a single value across only 22 distinct values, so a percentile here would rank the tie, not the entity.
Campaigns086% tie · 8 values
86% 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 / technique29med73rd pct
73rd percentile · 73% of 842 ATT&CK software entries have this many detection rules per technique or fewer.
Tests / technique8med72nd pct
72nd percentile · 72% of 842 ATT&CK software entries have this many atomic tests per technique or fewer.
Data comps / technique5med53% tie · 11 values
53% 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 842 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 15 Enterprise techniques.
Range
Technique Campaign use over its cumulative rule count.
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. (...)
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 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. (...)