MalwareBazaar Database
You are currently viewing the MalwareBazaar entry for SHA256 2552050b44ca05d7ba34cd035cd2d4e8d3593643d2fdb10872b500038e7fffdd. 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
RedLineStealer
Vendor detections: 17
| SHA256 hash: | 2552050b44ca05d7ba34cd035cd2d4e8d3593643d2fdb10872b500038e7fffdd |
|---|---|
| SHA3-384 hash: | a0c03ba4c7e1356b085f179683e82fa684c400568a166a9bf8b43b58cdae51ea2c8e7c14477e3d569d981a903fa0a9fc |
| SHA1 hash: | facbc6e4243790ce4093b2e1d133e6b9282fb94d |
| MD5 hash: | 62b4f49ec70ae024543c9bbdbb343af2 |
| humanhash: | charlie-west-jersey-blossom |
| File name: | rM_VGLRYNWSTN__.exe |
| Download: | download sample |
| Signature | RedLineStealer |
| File size: | 1'219'072 bytes |
| First seen: | 2025-08-29 00:00:13 UTC |
| Last seen: | 2025-09-01 12:41:47 UTC |
| File type: | |
| MIME type: | application/x-dosexec |
| imphash | 1895460fffad9475fda0c84755ecfee1 (306 x Formbook, 52 x AgentTesla, 36 x SnakeKeylogger) |
| ssdeep | 24576:x5EmXFtKaL4/oFe5T9yyXYfP1ijXdawFvFv9rFK4QZMqXF:xPVt/LZeJbInQRaw/v9pK4QN |
| TLSH | T1A145BF027381D062FFAB92334F5AF6115BBC79260123A62F13981DB9BD705B1563E7A3 |
| TrID | 40.3% (.EXE) Win64 Executable (generic) (10522/11/4) 19.3% (.EXE) Win16 NE executable (generic) (5038/12/1) 17.2% (.EXE) Win32 Executable (generic) (4504/4/1) 7.7% (.EXE) OS/2 Executable (generic) (2029/13) 7.6% (.EXE) Generic Win/DOS Executable (2002/3) |
| Magika | pebin |
| Reporter | |
| Tags: | exe RedLineStealer |
Intelligence
File Origin
BRVendor Threat Intelligence
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: | AutoIT_Compiled |
|---|---|
| Author: | @bartblaze |
| Description: | Identifies compiled AutoIT script (as EXE). This rule by itself does NOT necessarily mean the detected file is malicious. |
| Rule name: | CP_AllMal_Detector |
|---|---|
| Author: | DiegoAnalytics |
| Description: | CrossPlatform All Malwares Detector: Detect PE, ELF, Mach-O, scripts, archives; overlay, obfuscation, encryption, spoofing, hiding, high entropy, network communication |
| 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: | golang_bin_JCorn_CSC846 |
|---|---|
| Author: | Justin Cornwell |
| Description: | CSC-846 Golang detection ruleset |
| Rule name: | maldoc_find_kernel32_base_method_1 |
|---|---|
| Author: | Didier Stevens (https://DidierStevens.com) |
| Rule name: | MALWARE_Win_RedLine |
|---|---|
| Author: | ditekSHen |
| Description: | Detects RedLine infostealer |
| Rule name: | MAL_Malware_Imphash_Mar23_1 |
|---|---|
| Author: | Arnim Rupp |
| Description: | Detects malware by known bad imphash or rich_pe_header_hash |
| Reference: | https://yaraify.abuse.ch/statistics/ |
| Rule name: | NET |
|---|---|
| Author: | malware-lu |
| Rule name: | pe_detect_tls_callbacks |
|---|
| Rule name: | Sus_Obf_Enc_Spoof_Hide_PE |
|---|---|
| Author: | XiAnzheng |
| Description: | Check for Overlay, Obfuscating, Encrypting, Spoofing, Hiding, or Entropy Technique(can create FP) |
| Rule name: | win_samsam_auto |
|---|---|
| Author: | Felix Bilstein - yara-signator at cocacoding dot com |
| Description: | autogenerated rule brought to you by yara-signator |
File information
The table below shows additional information about this malware sample such as delivery method and external references.
Malspam
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