MalwareBazaar Database
You are currently viewing the MalwareBazaar entry for SHA256 0ae4447d755593ee1931170d4187a07a29bf0690179acc39b7400a4c65cd07c5. 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: 16
| SHA256 hash: | 0ae4447d755593ee1931170d4187a07a29bf0690179acc39b7400a4c65cd07c5 |
|---|---|
| SHA3-384 hash: | 8b6b631bff7d89828d2421da907d861b6d8b46c6d2396bb56bbd35a5dd60e7f27c7f5ff314a1d02739cce8837e4c0450 |
| SHA1 hash: | 2f769d3d79a5fcfcfa2ec7fdf7279102f271e741 |
| MD5 hash: | 56542d2d190e7025f9eb9e5086c08b3b |
| humanhash: | mike-cup-leopard-tennessee |
| File name: | INC_win.exe__0ae4447d.exe |
| Download: | download sample |
| Signature | INC |
| File size: | 2'206'208 bytes |
| First seen: | 2026-10-20 12:18:32 UTC |
| Last seen: | Never |
| File type: | |
| MIME type: | application/vnd.microsoft.portable-executable |
| imphash | d78d5d0af88f3c0d4c9b84ea9dd49613 (6 x INC) |
| ssdeep | 49152:/z7mV4kwsjcks87ZSqKOO6H94dD1rWJjnQEqMQp0:773p0 |
| TLSH | T1A9A51947E339D1D8C16ACCB542866235F734BC8D8124BA7F9BE0A6312E21B51961DBCF |
| TrID | 45.6% (.EXE) Microsoft Visual C++ compiled executable (generic) (16529/12/5) 18.0% (.EXE) Win64 Executable (generic) (6522/11/2) 13.9% (.EXE) Win16 NE executable (generic) (5038/12/1) 5.6% (.ICL) Windows Icons Library (generic) (2059/9) 5.6% (.EXE) OS/2 Executable (generic) (2029/13) |
| Magika | pebin |
| Reporter | |
| Tags: | exe INC 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
Details
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: | DetectEncryptedVariants |
|---|---|
| Author: | Zinyth |
| Description: | Detects 'encrypted' in ASCII, Unicode, base64, or hex-encoded |
| Rule name: | golang_bin_JCorn_CSC846 |
|---|---|
| Author: | Justin Cornwell |
| Description: | CSC-846 Golang detection ruleset |
| Rule name: | pe_detect_tls_callbacks |
|---|
| Rule name: | ProgramLanguage_Rust |
|---|---|
| Author: | albertzsigovits |
| Description: | Application written in Rust programming language |
| Rule name: | SEH__vectored |
|---|---|
| Reference: | https://github.com/naxonez/yaraRules/blob/master/AntiDebugging.yara |
| Rule name: | win_inc_auto |
|---|---|
| Author: | Felix Bilstein - yara-signator at cocacoding dot com |
| Description: | Detects win.inc. |
| Rule name: | WIN_Malware_Fantom_ForgeAuto_98e6f354_Extrait |
|---|---|
| Author: | Marjoriefort |
| Description: | Detects Fantom (pe, etat extrait) |
| Rule name: | WIN_Malware_Unknown_ForgeAuto_4fa7e284_Extrait |
|---|---|
| Author: | Marjoriefort |
| Description: | Detects Unknown (pe, etat extrait) |
File information
The table below shows additional information about this malware sample such as delivery method and external references.
Comments
Login required
You need to login to in order to write a comment. Login with your abuse.ch account.