MalwareBazaar Database
You are currently viewing the MalwareBazaar entry for SHA256 c4f5e0b453347dee387a91d0da2c4db65b8106dfe3511a6fcd6f79756b031096. 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: 8
| SHA256 hash: | c4f5e0b453347dee387a91d0da2c4db65b8106dfe3511a6fcd6f79756b031096 |
|---|---|
| SHA3-384 hash: | 624834761cb0c8c70e8904684ed7458fa787918cee94ef059653e3224537448b90ce3593561a3fdc3349300374f7581c |
| SHA1 hash: | 8b31ed0528da8ebb5145512ed692b46650421c2b |
| MD5 hash: | 8b48b93ce6ae4a4f0391d2f11421bb17 |
| humanhash: | monkey-autumn-shade-equal |
| File name: | Phantom_QuickLine_cf.exe__c4f5e0b4.exe |
| Download: | download sample |
| Signature | INC |
| File size: | 37'613'590 bytes |
| First seen: | 2026-10-20 12:18:05 UTC |
| Last seen: | Never |
| File type: | |
| MIME type: | application/vnd.microsoft.portable-executable |
| imphash | 4b1892ce4fbcfcf064c6f69d693fc6a5 (10 x Rhadamanthys, 4 x AgentTesla, 3 x QuasarRAT) |
| ssdeep | 786432:PBuLSpVyFiCNk6Czue1lWJppa7QzdkDhy+MiYR89qyotpSJ:PBtVyqKeO2UrRSo4 |
| TLSH | T1FF871256E2F901E8E5BAC0B8CA575517F7B13855133097EB62A48A692F33FE06E3D310 |
| TrID | 51.9% (.EXE) Win64 Executable (generic) (6522/11/2) 16.1% (.EXE) OS/2 Executable (generic) (2029/13) 15.9% (.EXE) Generic Win/DOS Executable (2002/3) 15.9% (.EXE) DOS Executable (generic) (2000/1) |
| Magika | pebin |
| Reporter | |
| Tags: | exe INC Ransomware STRU The Gentlemen Ransomware |
SOCRadarSTRU
π¨ 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.
π Source: https://socradar.io/blog/inc-gentlemen-ransomware-ai-infrastructure/
π 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
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: | Check_OutputDebugStringA_iat |
|---|
| Rule name: | command_and_control |
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| 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: | DebuggerCheck__API |
|---|---|
| Reference: | https://github.com/naxonez/yaraRules/blob/master/AntiDebugging.yara |
| Rule name: | DebuggerCheck__MemoryWorkingSet |
|---|---|
| Author: | Fernando MercΓͺs |
| Description: | Anti-debug process memory working set size check |
| Reference: | http://www.gironsec.com/blog/2015/06/anti-debugger-trick-quicky/ |
| Rule name: | DebuggerCheck__QueryInfo |
|---|---|
| Reference: | https://github.com/naxonez/yaraRules/blob/master/AntiDebugging.yara |
| Rule name: | DebuggerException__SetConsoleCtrl |
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| Reference: | https://github.com/naxonez/yaraRules/blob/master/AntiDebugging.yara |
| Rule name: | DetectEncryptedVariants |
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| Author: | Zinyth |
| Description: | Detects 'encrypted' in ASCII, Unicode, base64, or hex-encoded |
| Rule name: | FreddyBearDropper |
|---|---|
| Author: | Dwarozh Hoshiar |
| Description: | Freddy Bear Dropper is dropping a malware through base63 encoded powershell scrip. |
| Rule name: | golang_bin_JCorn_CSC846 |
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| Author: | Justin Cornwell |
| Description: | CSC-846 Golang detection ruleset |
| Rule name: | JP_Lure_Content_Hunt |
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| Author: | sumeshi |
| Description: | Hunts for files containing Japanese kana text or common Japanese lure terminology |
| Rule name: | Jupyter_infostealer |
|---|---|
| Author: | CD_R0M_ |
| Description: | Rule for Jupyter Infostealer/Solarmarker malware from september 2021-December 2022 |
| Rule name: | Lumma_Stealer_Detection |
|---|---|
| Author: | ashizZz |
| Description: | Detects a specific Lumma Stealer malware sample using unique strings and behaviors |
| Reference: | https://seanthegeek.net/posts/compromized-store-spread-lumma-stealer-using-fake-captcha/ |
| Rule name: | MAL_Trigon_Dropper |
|---|---|
| Author: | jaszzz |
| Description: | Trigon multi-stage malicious dropper - process injection, keylogging, screenshot capture |
| Reference: | URL|trigon |
| Rule name: | MD5_Constants |
|---|---|
| Author: | phoul (@phoul) |
| Description: | Look for MD5 constants |
| Rule name: | MULTI_Malware_RemcosRAT_ForgeAuto_4785f0c3 |
|---|---|
| Author: | Marjoriefort |
| Description: | Detects RemcosRAT (inconnu, etat binaire) |
| Rule name: | Multi_Trojan_Mythic_528324b4 |
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| Author: | Elastic Security |
| Rule name: | NET |
|---|---|
| Author: | malware-lu |
| Rule name: | pe_detect_tls_callbacks |
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| Rule name: | pe_no_import_table |
|---|---|
| Description: | Detect pe file that no import table |
| Rule name: | RANSOMWARE |
|---|---|
| Author: | ToroGuitar |
| Rule name: | reverse_http |
|---|---|
| Author: | CD_R0M_ |
| Description: | Identify strings with http reversed (ptth) |
| Rule name: | RIPEMD160_Constants |
|---|---|
| Author: | phoul (@phoul) |
| Description: | Look for RIPEMD-160 constants |
| Rule name: | Rooter |
|---|---|
| Author: | Seth Hardy |
| Description: | Rooter |
| Rule name: | RooterStrings |
|---|---|
| Author: | Seth Hardy |
| Description: | Rooter Identifying Strings |
| Rule name: | SCRIPT_Dropper_Unknown_ForgeAuto_0507f067_Script |
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| Author: | Marjoriefort |
| Description: | Detects Unknown (script_js, etat script) |
| Rule name: | SEH__vectored |
|---|---|
| Reference: | https://github.com/naxonez/yaraRules/blob/master/AntiDebugging.yara |
| Rule name: | SHA1_Constants |
|---|---|
| Author: | phoul (@phoul) |
| Description: | Look for SHA1 constants |
| Rule name: | SUSP_HTML_XMLHTTP_Redirect_Kit |
|---|---|
| Author: | Marjoriefort |
| Description: | HTML avec exfiltration XMLHTTP + redirection window.location - kit phishing frais |
| Reference: | Veille fraicheur 2026-09-14 / cluster HTML |
| Rule name: | Sus_CMD_Powershell_Usage |
|---|---|
| Author: | XiAnzheng |
| Description: | May Contain(Obfuscated or no) Powershell or CMD Command that can be abused by threat actor(can create FP) |
| Rule name: | telebot_framework |
|---|---|
| Author: | vietdx.mb |
| Rule name: | test_Malaysia |
|---|---|
| Author: | rectifyq |
| Description: | Detects file containing malaysia string |
| Rule name: | ThreadControl__Context |
|---|---|
| Reference: | https://github.com/naxonez/yaraRules/blob/master/AntiDebugging.yara |
| Rule name: | TH_AntiVM_MassHunt_Win_Malware_2026_CYFARE |
|---|---|
| Author: | CYFARE |
| Description: | Detects Windows malware employing anti-VM / anti-sandbox evasion techniques across VMware, VirtualBox, Hyper-V, QEMU, Xen, and generic sandbox environments |
| Reference: | https://cyfare.net/ |
| Rule name: | TigerRAT_pe_yaraify |
|---|---|
| Author: | hunts-yara-code |
| Description: | YARAify-tightened byte rule from 9 sample(s) -- VERIFY hits |
| 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_BlakcSeeStealer_ForgeAuto_9b0a0e39_Extrait |
|---|---|
| Author: | Marjoriefort |
| Description: | Detects BlakcSeeStealer (pe, etat extrait) |
| Rule name: | WIN_Malware_PythonStealer_ForgeAuto_b24cb5bd |
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| Author: | Marjoriefort |
| Description: | Detects PythonStealer (pe, etat binaire) |
| Rule name: | WIN_Malware_Unknown_ForgeAuto_2ffc3572 |
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| Author: | Marjoriefort |
| Description: | Detects Unknown (pe, etat binaire) |
| Rule name: | WIN_Malware_Unknown_ForgeAuto_3be2a519 |
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| Author: | Marjoriefort |
| Description: | Detects Unknown (pe, etat binaire) |
| Rule name: | WIN_Malware_Unknown_ForgeAuto_5001c94c |
|---|---|
| Author: | Marjoriefort |
| Description: | Detects Unknown (pe, etat binaire) |
| Rule name: | WIN_Malware_Unknown_ForgeAuto_6717780a_Extrait |
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| Author: | Marjoriefort |
| Description: | Detects Unknown (pe, etat extrait) |
| Rule name: | WIN_Malware_Unknown_ForgeAuto_92a28498 |
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| Author: | Marjoriefort |
| Description: | Detects Unknown (pe, etat binaire) |
| Rule name: | WIN_Malware_XWorm_ForgeAuto_6b06c990_Extrait |
|---|---|
| Author: | Marjoriefort |
| Description: | Detects XWorm (pe, etat extrait) |
| Rule name: | WIN_Sample_Unique_69354b41 |
|---|---|
| Author: | Marjoriefort |
| Description: | Specimen unique (soumission Bazaar) - strings distinctifs propres au sample |
| Reference: | 69354b41e10daf03d3f3af881b32d5c0fec56b1cfe96629fd4c5263413a42854.exe |
File information
The table below shows additional information about this malware sample such as delivery method and external references.
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