MalwareBazaar Database
You are currently viewing the MalwareBazaar entry for SHA256 1884ea40e0f30433b31bfae38391aae4e632422fd895bb6d0ee79256e6259d81. 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: 4
| SHA256 hash: | 1884ea40e0f30433b31bfae38391aae4e632422fd895bb6d0ee79256e6259d81 |
|---|---|
| SHA3-384 hash: | 0a265943580d10775a855358ceed24a54e8368271154ef5b32fe2c3a3a6ef589fc9e57f9ab8f239132b0abf3992c8f54 |
| SHA1 hash: | 1f3243e8c49f898fa1259d352f2f4ec19a0f934f |
| MD5 hash: | 5e3cb6c6df8c309ccc0021cff6f53a42 |
| humanhash: | batman-victor-carpet-west |
| File name: | Phantom_pnloader.exe__1884ea40.exe |
| Download: | download sample |
| Signature | INC |
| File size: | 45'568 bytes |
| First seen: | 2026-10-20 12:15:22 UTC |
| Last seen: | Never |
| File type: |  exe |
| MIME type: | application/vnd.microsoft.portable-executable |
| imphash | 04dbbde5881521ee5a494c2809e2a049 (1 x INC) |
| ssdeep | 768:K9MgvfXlDKcTJjXvjek3xj1A83G2FFcaDY8KTqw6ppxdDHbocTjBgrp:K9MgvlDKcNL9hj1Aj2z9c8KGw6p3x7XQ |
| TLSH | T1A7234B5E3A53E4FCC10BC97492A349B0E931FC6205709D7F6398DB760E26E502F2DA5A |
| 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 |  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 :
185
Origin country :
NLVendor Threat Intelligence
No detections
Malware family:
n/a
ID:
1
File name:
exe
Verdict:
No threats detected
Analysis date:
2026-10-20 12:16:16 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:
99.9%
Tags:
n/a
Result
Verdict:
Clean
Maliciousness:
Behaviour
Sending a custom TCP request
Gathering data
Verdict:
Unknown
Score:
70%
Verdict:
Susipicious
File Type:
PE
Verdict:
inconclusive
YARA:
3 match(es)
Tags:
Executable PE (Portable Executable) PE File Layout Win 64 Exe x64
Detection(s):
Suspicious file
Unpacked files
SH256 hash:
1884ea40e0f30433b31bfae38391aae4e632422fd895bb6d0ee79256e6259d81
MD5 hash:
5e3cb6c6df8c309ccc0021cff6f53a42
SHA1 hash:
1f3243e8c49f898fa1259d352f2f4ec19a0f934f
Please note that we are no longer able to provide a coverage score for Virus Total.
Threat name:
DriveBy Activity
Score:
0.90
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: | 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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