MalwareBazaar Database
You are currently viewing the MalwareBazaar entry for SHA256 ee3b6aaa1edecd0ed27bcd9ab835ca41735c85263fc8219cc2a9c62f66cad920. While MalwareBazaar tries to identify whether the sample provided is malicious or not, there is no guarantee that a sample in MalwareBazaar is malicious.
Database Entry
RondoDox
Vendor detections: 7
| SHA256 hash: | ee3b6aaa1edecd0ed27bcd9ab835ca41735c85263fc8219cc2a9c62f66cad920 |
|---|---|
| SHA3-384 hash: | a3f613c137811915a41a56d39af6826403b505619c0746e5abbacf7738ba2658dbcfc7995448c90b1a0c99d7b9aff0a0 |
| SHA1 hash: | bf4b1587491f9bc00a5cfc5dfaa627c490e87155 |
| MD5 hash: | 36894f7a190f3e2eb0f6061671e7299b |
| humanhash: | black-wisconsin-single-sweet |
| File name: | rondo.aqu.sh |
| Download: | download sample |
| Signature | RondoDox |
| File size: | 9'731 bytes |
| First seen: | 2025-12-20 00:45:55 UTC |
| Last seen: | Never |
| File type: | sh |
| MIME type: | text/x-shellscript |
| ssdeep | 192:mPEcac/goLngQoiOoOoFoMoroSoRoiozoZokojovobCmoCop3oroA:mPhj/xoiOoOoFoMoroSoRoiozoZokojv |
| TLSH | T1D812F1A931C512F6BCA945225193BABCCB07E1E564638EBEFC5848FF6972C08F05C745 |
| TrID | 70.0% (.SH) Linux/UNIX shell script (7000/1) 30.0% (.) Unix-like shebang (var.3) (gen) (3000/1) |
| Magika | shell |
| Reporter | |
| Tags: | sh |
Shell script dropper
This file seems to be a shell script dropper, using wget, ftpget and/or curl. More information about the corresponding payload URLs are shown below.
Intelligence
File Origin
DEVendor Threat Intelligence
URLhaus.3736084.UNOFFICIAL
URLhaus.3736078.UNOFFICIAL
URLhaus.3736088.UNOFFICIAL
URLhaus.3736090.UNOFFICIAL
URLhaus.3736079.UNOFFICIAL
URLhaus.3736086.UNOFFICIAL
URLhaus.3736093.UNOFFICIAL
URLhaus.3736081.UNOFFICIAL
URLhaus.3736087.UNOFFICIAL
URLhaus.3736089.UNOFFICIAL
URLhaus.3736085.UNOFFICIAL
URLhaus.3736082.UNOFFICIAL
URLhaus.3736091.UNOFFICIAL
URLhaus.3736080.UNOFFICIAL
URLhaus.3736092.UNOFFICIAL
URLhaus.3736094.UNOFFICIAL
Result
Behaviour
YARA Signatures
MalwareBazaar uses YARA rules from several public and non-public repositories, such as YARAhub and Malpedia. Those are being matched against malware samples uploaded to MalwareBazaar as well as against any suspicious process dumps they may create. Please note that only results from TLP:CLEAR rules are being displayed.
| Rule name: | MAL_Linux_IoT_MultiArch_BotnetLoader_Generic |
|---|---|
| Author: | Anish Bogati |
| Description: | Technique-based detection of IoT/Linux botnet loader shell scripts downloading binaries from numeric IPs, chmodding, and executing multi-architecture payloads |
| Reference: | MalwareBazaar sample lilin.sh |
File information
The table below shows additional information about this malware sample such as delivery method and external references.
Web download
Comments
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