MalwareBazaar Database
You are currently viewing the MalwareBazaar entry for SHA256 ad53d8cb65833146fc6740be5dd6938fe90d94256e428468dfd508c80346d511. 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: 6
| SHA256 hash: | ad53d8cb65833146fc6740be5dd6938fe90d94256e428468dfd508c80346d511 |
|---|---|
| SHA3-384 hash: | 4438f17a9064b16d00cb003f4fb026883e5aa41755c2ba2f6a542c19ba05e29f49c12312fc4625acb6ad7eca6fbcc753 |
| SHA1 hash: | 325f50cd5a7ca04049fb73996156094409751da4 |
| MD5 hash: | 2ead44464386988a97da42d4eeb3adcf |
| humanhash: | london-west-muppet-football |
| File name: | Ghost_colorui5_signed.dll__ad53d8cb.dll |
| Download: | download sample |
| Signature | INC |
| File size: | 20'600 bytes |
| First seen: | 2026-10-20 12:20:40 UTC |
| Last seen: | Never |
| File type: | |
| MIME type: | application/vnd.microsoft.portable-executable |
| imphash | f03bdf206c30102cffee36488f998451 (2 x INC) |
| ssdeep | 384:13ZrHfNyhDKxrjVjuKfuT9j+LELMjExJP3pulPG:13VFGKNjluC2ZulPG |
| TLSH | T17F921A4BBAA7A1FAC40DD035C1E79A36EDB6F91546A52F2D533CDB330E40A50672DB08 |
| 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 signed STRU The Gentlemen Ransomware |
Code Signing Certificate
| Organisation: | Microsoft Corporation |
|---|---|
| Issuer: | Microsoft Corporation |
| Algorithm: | sha256WithRSAEncryption |
| Valid from: | 2026-07-09T08:04:25Z |
| Valid to: | 2027-07-09T08:04:25Z |
| Serial number: | 278827bd7d71f8674fc1c831fad3bc18352ee07c |
| Thumbprint Algorithm: | SHA256 |
| Thumbprint: | 989e66fff99cb61cd5bf6066d874eb1e2c9e37bd1b57352f7fdcb99c773cefe4 |
| Source: | This information was brought to you by ReversingLabs A1000 Malware Analysis Platform |
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
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: | golang_bin_JCorn_CSC846 |
|---|---|
| Author: | Justin Cornwell |
| Description: | CSC-846 Golang detection ruleset |
| Rule name: | pe_detect_tls_callbacks |
|---|
| Rule name: | PE_Digital_Certificate |
|---|---|
| Author: | albertzsigovits |
| 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_Unknown_ForgeAuto_5001c94c |
|---|---|
| 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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