MalwareBazaar Database
You are currently viewing the MalwareBazaar entry for SHA256 4c71fcd0f1afdcab34d9b9e8701b64c9fd8326eaf31d6e24bf6a828baabc91ed. 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
AgentTesla
Vendor detections: 17
| SHA256 hash: | 4c71fcd0f1afdcab34d9b9e8701b64c9fd8326eaf31d6e24bf6a828baabc91ed |
|---|---|
| SHA3-384 hash: | 5d4dbb0372d75a76904db3ee0d4223565c0d036c9977932cbd242b2d706c3205c69c9c837e11442d3f421bc6d3236113 |
| SHA1 hash: | cadd34c503d587e46cc15c2892bf8f06f8dfa2e6 |
| MD5 hash: | 91a14334034dada53777a95c101b54e4 |
| humanhash: | east-lion-black-queen |
| File name: | 4c71fcd0f1afdcab34d9b9e8701b64c9fd8326eaf31d6e24bf6a828baabc91ed |
| Download: | download sample |
| Signature | AgentTesla |
| File size: | 1'287'168 bytes |
| First seen: | 2026-05-08 12:22:16 UTC |
| Last seen: | Never |
| File type: | |
| MIME type: | application/x-dosexec |
| imphash | 1895460fffad9475fda0c84755ecfee1 (449 x Formbook, 153 x AgentTesla, 79 x a310Logger) |
| ssdeep | 24576:m5EmXFtKaL4/oFe5T9yyXYfP1ijXdaKp6mGj/H3IGtpX8:mPVt/LZeJbInQRaK8RIG |
| Threatray | 2'756 similar samples on MalwareBazaar |
| TLSH | T19E55BF0273D1C062FF9B92734F5AF6115ABC79260123A62F13981DBAF9701B1563E7A3 |
| TrID | 29.5% (.EXE) Win64 Executable (generic) (6522/11/2) 22.8% (.EXE) Win16 NE executable (generic) (5038/12/1) 20.3% (.EXE) Win32 Executable (generic) (4504/4/1) 9.1% (.EXE) OS/2 Executable (generic) (2029/13) 9.0% (.EXE) Generic Win/DOS Executable (2002/3) |
| Magika | pebin |
| dhash icon | aae2f3e38383b629 (2'655 x Formbook, 1'203 x CredentialFlusher, 917 x AgentTesla) |
| Reporter | |
| Tags: | AgentTesla exe |
Intelligence
File Origin
HUVendor Threat Intelligence
Details
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_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: | 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: | 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: | TH_Generic_MassHunt_Win_Malware_2025_CYFARE |
|---|---|
| Author: | CYFARE |
| Description: | Generic Windows malware mass-hunt rule - 2025 |
| Reference: | https://cyfare.net/ |
| 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_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.
Comments
Login required
You need to login to in order to write a comment. Login with your abuse.ch account.