MalwareBazaar Database
You are currently viewing the MalwareBazaar entry for SHA256 50cd30d690fd22bea38e48c9ea24cdb39702d7d9aacf0e269d3be4bb0a4a5658. 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: | 50cd30d690fd22bea38e48c9ea24cdb39702d7d9aacf0e269d3be4bb0a4a5658 |
|---|---|
| SHA3-384 hash: | 1ca2c5dbd52c352ddb1921632af8b35a2c77a1addcccaafabb5d77c0f6f3151235765e2354f8de40a8efda529589b9ce |
| SHA1 hash: | 3609a8705263f9ca4df4e2a50eede260b87a3b27 |
| MD5 hash: | f747098232e2fa3f9011ceeaed371c09 |
| humanhash: | mike-burger-summer-quiet |
| File name: | MKiJjJ987.exe |
| Download: | download sample |
| Signature | RedLineStealer |
| File size: | 614'912 bytes |
| First seen: | 2023-11-04 17:43:40 UTC |
| Last seen: | Never |
| File type: | |
| MIME type: | application/x-dosexec |
| imphash | bf5a4aa99e5b160f8521cadd6bfe73b8 (423 x RedLineStealer, 31 x AgentTesla, 12 x DCRat) |
| ssdeep | 12288:hh1Lk70TnvjcB3sO1GkD5hteaHkgz+m544TYvwLhFXn919OwUlPoNZaSYYC:9k70Trc3kkFhteaHk8+m5Fdn9vdS0C |
| Threatray | 6 similar samples on MalwareBazaar |
| TLSH | T14DD4122132C0C5B6D877103085DAC7769E6930754BAA96DB77ED3B7A2E113E0A3312CE |
| TrID | 47.3% (.EXE) Win32 Executable MS Visual C++ (generic) (31206/45/13) 15.9% (.EXE) Win64 Executable (generic) (10523/12/4) 9.9% (.DLL) Win32 Dynamic Link Library (generic) (6578/25/2) 7.6% (.EXE) Win16 NE executable (generic) (5038/12/1) 6.8% (.EXE) Win32 Executable (generic) (4505/5/1) |
| File icon (PE): | |
| dhash icon | d2e8ecb2b2a2b282 (106 x AgentTesla, 106 x Formbook, 24 x RedLineStealer) |
| Reporter | |
| Tags: | exe RedLineStealer RemcosRAT |
Intelligence
File Origin
ROVendor Threat Intelligence
Result
Behaviour
Result
Details
Result
Signature
Behaviour
Result
Behaviour
Malware Config
grantadistciaret.com:3223
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: | DebuggerCheck__API |
|---|---|
| Reference: | https://github.com/naxonez/yaraRules/blob/master/AntiDebugging.yara |
| 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/ |
File information
The table below shows additional information about this malware sample such as delivery method and external references.
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