MalwareBazaar Database
You are currently viewing the MalwareBazaar entry for SHA256 6a7a89d1573d28a5803a4f4d18a08aa75a7136328ccd60df42e1d524d7886877. 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
INC
Vendor detections: 5
| SHA256 hash: | 6a7a89d1573d28a5803a4f4d18a08aa75a7136328ccd60df42e1d524d7886877 |
|---|---|
| SHA3-384 hash: | 67aedf174a5926f13fc7e6e8d63f2bc4ce80b414ec63afcc2d2373c1d87ab7c673d304c8366d70ac4dd3284c0375ee4a |
| SHA1 hash: | faaa21e68423c9cbdddb288b22c4c0039422529b |
| MD5 hash: | 3476fc902d133cacba6d73694bedede1 |
| humanhash: | pip-crazy-speaker-batman |
| File name: | Phantom_quickheal-killer.exe__6a7a89d1.exe |
| Download: | download sample |
| Signature | INC |
| File size: | 1'949'696 bytes |
| First seen: | 2026-10-20 12:16:30 UTC |
| Last seen: | Never |
| File type: | |
| MIME type: | application/vnd.microsoft.portable-executable |
| imphash | ebc247a77b4d4a804b261f97a1fd075c (126 x Vidar, 32 x RemusStealer, 26 x Smoke Loader) |
| ssdeep | 24576:8Q0/bAEQt9cdteYvkTUrfRUHTVzRzu+NpWMiPth+saT6mHR:8Q0/0EQt9cdtewkFJuUE86 |
| TLSH | T11E95390BBCA509F5C4AA933289776592BB71BC450F2223D72E90B7782F72BE09D75704 |
| TrID | 33.1% (.EXE) Win64 Executable (generic) (6522/11/2) 25.6% (.EXE) Win16 NE executable (generic) (5038/12/1) 10.4% (.ICL) Windows Icons Library (generic) (2059/9) 10.3% (.EXE) OS/2 Executable (generic) (2029/13) 10.1% (.EXE) Generic Win/DOS Executable (2002/3) |
| Magika | pebin |
| Reporter | |
| Tags: | exe INC Ransomware STRU The Gentlemen Ransomware |
SOCRadarSTRU
🚨 Uncovering the AI-Driven Offensive Infrastructure of INC and The Gentlemen Ransomware Affiliates | SOCRadar STRU IOCSOCRadar Threat Research Unit (STRU) uncovered an AI-driven ransomware affiliate ecosystem, exposing seven adversary-controlled servers, the Phantom Autonomous Red Team Framework, and AI-managed attack operations. The actors exploited Fortinet, Ivanti, Citrix, SonicWall, SimpleHelp, and cPanel, leveraging Ghost C2, RevSocks, and customized INC Ransomware encryptors. With over $23,000 spent on AI services, the findings highlight the growing role of AI-powered automation in ransomware operations and the critical operational security failures that exposed them.
📚 Source: https://socradar.io/blog/inc-gentlemen-ransomware-ai-infrastructure/
🔍 IOC Reference:
Full IOC list available on the SOCRadar platform: https://platform.socradar.com/
Intelligence
File Origin
NLVendor Threat Intelligence
Result
Behaviour
Result
Behaviour
Unpacked files
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: | command_and_control |
|---|---|
| Author: | CD_R0M_ |
| Description: | This rule searches for common strings found by malware using C2. Based on a sample used by a Ransomware group |
| Rule name: | CP_Script_Inject_Detector |
|---|---|
| Author: | DiegoAnalytics |
| Description: | Detects attempts to inject code into another process across PE, ELF, Mach-O binaries |
| Rule name: | DebuggerException__SetConsoleCtrl |
|---|---|
| Reference: | https://github.com/naxonez/yaraRules/blob/master/AntiDebugging.yara |
| Rule name: | DetectGoMethodSignatures |
|---|---|
| Author: | Wyatt Tauber |
| Description: | Detects Go method signatures in unpacked Go binaries |
| Rule name: | Detect_Go_GOMAXPROCS |
|---|---|
| Author: | Obscurity Labs LLC |
| Description: | Detects Go binaries by the presence of runtime.GOMAXPROCS in the runtime metadata |
| Rule name: | FreddyBearDropper |
|---|---|
| Author: | Dwarozh Hoshiar |
| Description: | Freddy Bear Dropper is dropping a malware through base63 encoded powershell scrip. |
| Rule name: | GoBinTest |
|---|
| Rule name: | golang |
|---|
| Rule name: | Golangmalware |
|---|---|
| Author: | Dhanunjaya |
| Description: | Malware in Golang |
| Rule name: | golang_binary_string |
|---|---|
| Description: | Golang strings present |
| Rule name: | golang_bin_JCorn_CSC846 |
|---|---|
| Author: | Justin Cornwell |
| Description: | CSC-846 Golang detection ruleset |
| Rule name: | Golang_Find_CSC846 |
|---|---|
| Author: | Ashar Siddiqui |
| Description: | Find Go Signatuers |
| Rule name: | Golang_Find_CSC846_Simple |
|---|---|
| Author: | Ashar Siddiqui |
| Description: | Find Go Signatuers |
| Rule name: | HiveRansomware |
|---|---|
| Author: | Dhanunjaya |
| Description: | Yara Rule To Detect Hive V4 Ransomware |
| Rule name: | ProgramLanguage_Golang |
|---|---|
| Author: | albertzsigovits |
| Description: | Application written in Golang programming language |
| Rule name: | RemusStealer_GoPayload |
|---|---|
| Author: | burger |
| Description: | Detects RemusStealer Go-compiled payload |
| Rule name: | SEH__vectored |
|---|---|
| Reference: | https://github.com/naxonez/yaraRules/blob/master/AntiDebugging.yara |
| Rule name: | Suspicious_Golang_Binary |
|---|---|
| Author: | Tim Machac |
| Description: | Triage: Golang-compiled binary with suspicious OS/persistence/network strings (not family-specific) |
| Rule name: | ThreadControl__Context |
|---|---|
| Reference: | https://github.com/naxonez/yaraRules/blob/master/AntiDebugging.yara |
| Rule name: | VECT_Ransomware |
|---|---|
| Author: | Mustafa Bakhit |
| Description: | Detects activity associated with VECT ransomware. This includes registry modifications and deletions, execution of system and defense-evasion commands, suspicious API usage, mutex creation, file and memory manipulation, ransomware note generation, anti-debugging and anti-analysis techniques, and embedded cryptographic constants (SHA256) characteristic of this malware family. Designed for threat intelligence and malware detection environments. |
| Rule name: | WIN_Malware_Fantom_ForgeAuto_98e6f354_Extrait |
|---|---|
| Author: | Marjoriefort |
| Description: | Detects Fantom (pe, etat extrait) |
| Rule name: | WIN_Malware_Unknown_ForgeAuto_30f84f37 |
|---|---|
| Author: | Marjoriefort |
| Description: | Detects Unknown (pe, etat binaire) |
File information
The table below shows additional information about this malware sample such as delivery method and external references.
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