MalwareBazaar Database
You are currently viewing the MalwareBazaar entry for SHA256 293b1dc6e080ae3eac1de84ea384671c44cdf1d03fe51e5110749f8f358cbd64. 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: 7
| SHA256 hash: | 293b1dc6e080ae3eac1de84ea384671c44cdf1d03fe51e5110749f8f358cbd64 |
|---|---|
| SHA3-384 hash: | f762d475261ff9f757f06037dd9e103e505e1897eaddceed0ea0a31b87a4fdf8e4772695b1c919fe1893bff9f8b24991 |
| SHA1 hash: | 8647ac30331b6ac76a0e6f7f1f69482a986b4321 |
| MD5 hash: | 8271b59c7189634909ca77556c1d7638 |
| humanhash: | echo-football-eleven-berlin |
| File name: | Ghost_AetherPulse.dll__293b1dc6.dll |
| Download: | download sample |
| Signature | INC |
| File size: | 1'052'160 bytes |
| First seen: | 2026-10-20 12:23:09 UTC |
| Last seen: | Never |
| File type: |  exe |
| MIME type: | application/vnd.microsoft.portable-executable |
| imphash | b9275ec8ae678094a020911deec0eb4b (1 x INC) |
| ssdeep | 12288:k7Q5z54c2LD39l7LZW3zSem0pV8xgjdUBV0LyOhvPBSL0LKCK:6Qon3r34h2/chPskKZ |
| TLSH | T130254C078346F17DDE9FC1B6D2126738B81AB4924262FC6F0555CB7038797A85B2FA38 |
| TrID | 61.9% (.EXE) Win64 Executable (generic) (6522/11/2) 19.0% (.EXE) Generic Win/DOS Executable (2002/3) 19.0% (.EXE) DOS Executable (generic) (2000/1) |
| Magika | pebin |
| Reporter |  SOCRadarSTRU |
| 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
# of uploads :
1
# of downloads :
175
Origin country :
NLVendor Threat Intelligence
Malware configuration found for:
ZLoader
Details
Malware family:
n/a
ID:
1
File name:
exe
Verdict:
No threats detected
Analysis date:
2026-10-20 13:11:16 UTC
Tags:
n/a
Note:
ANY.RUN is an interactive sandbox that analyzes all user actions rather than an uploaded sample
Detection:
n/a
Verdict:
Clean
Score:
84.2%
Tags:
n/a
Result
Verdict:
Clean
Maliciousness:
Behaviour
Sending a custom TCP request
Gathering data
Verdict:
Malicious
Labled as:
Trojan/ZLoader
Verdict:
Unknown
File Type:
dll x64
Verdict:
Unknown
Score:
7%
Verdict:
Benign
File Type:
PE
Verdict:
inconclusive
YARA:
5 match(es)
Tags:
Executable PDB Path PE (Portable Executable) PE File Layout Win 64 Exe x64
Threat name:
Win64.Packed.Generic
Status:
Suspicious
First seen:
2026-10-20 11:32:39 UTC
File Type:
PE+ (Dll)
Extracted files:
1
AV detection:
10 of 24 (41.67%)
Threat level:
1/5
Detection(s):
Suspicious file
Verdict:
malicious
Label(s):
Zloader
Unpacked files
SH256 hash:
293b1dc6e080ae3eac1de84ea384671c44cdf1d03fe51e5110749f8f358cbd64
MD5 hash:
8271b59c7189634909ca77556c1d7638
SHA1 hash:
8647ac30331b6ac76a0e6f7f1f69482a986b4321
Please note that we are no longer able to provide a coverage score for Virus Total.
Threat name:
Malicious File
Score:
1.00
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: | DebuggerCheck__API |
|---|---|
| Reference: | https://github.com/naxonez/yaraRules/blob/master/AntiDebugging.yara |
| Rule name: | golang_bin_JCorn_CSC846 |
|---|---|
| Author: | Justin Cornwell |
| Description: | CSC-846 Golang detection ruleset |
| Rule name: | JP_Lure_Content_Hunt |
|---|---|
| Author: | sumeshi |
| Description: | Hunts for files containing Japanese kana text or common Japanese lure terminology |
| Rule name: | SHA512_Constants |
|---|---|
| Author: | phoul (@phoul) |
| Description: | Look for SHA384/SHA512 constants |
| 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. |
File information
The table below shows additional information about this malware sample such as delivery method and external references.
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