RotaJakiro is a 64-bit Linux backdoor used by APT32. First seen in 2018, it uses a plugin architecture to extend capabilities. RotaJakiro can determine it's permission level and execute according to access type (root or user).[1][2]
17
Techniques72nd 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.
Depending on the Linux distribution and when executing with root permissions, RotaJakiro may install persistence using a .conf file in the /etc/init/ folder.4
RotaJakiro can monitor the /proc/[PID] directory of known RotaJakiro processes as a part of its persistence when executing with non-root permissions. If the process is found dead, it resurrects the process. RotaJakiro processes can be matched to an associated Advisory Lock, in the /proc/locks folder, to ensure it doesn't spawn more than one process.6
RotaJakiro executes a set of commands to collect device information, including uname. Another example is the cat /etc/*release | uniq command used to collect the current OS distribution.7
RotaJakiro uses a custom binary protocol using a type, length, value format over TCP.8
Command and Control4 detection rules
Standing S1078
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
Techniques1772nd pct
72nd percentile · 72% 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 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 / technique8medBottom 12%
12th percentile · 88% of 825 ATT&CK software entries have more detection rules per technique.
Tests / technique4med28th pct
28th percentile · 72% of 825 ATT&CK software entries have more atomic tests per technique.
Data comps / technique5med54% 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 17 Enterprise techniques.
Range
Technique Campaign use over its cumulative rule count.
190 distinct rules cover the 17 techniques recorded for this malware. 125 Sigma · 65 Splunk.
15 covered by at least one rule2 with no coverage190 distinct rules in total
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Splunk
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. (...)
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. (...)
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. (...)
The following analytic detects potentially suspicious large volumes of data sent by the connection initiator on flows from internal to external networks. (...)
The following analytic identifies specific GET or HEAD requests to web servers that indicate reconnaissance attempts to find vulnerable JBoss servers. (...)
The following analytic detects HTTP POST requests containing heavily encoded data in the post body, specifically looking for sequences of hex-encoded bytes or base64-encoded strings. (...)