MalwareBazaar Database
You are currently viewing the MalwareBazaar entry for SHA256 52c064cb404452ef4c16589aa091405d2694ad65f714a52bc4e43162907dfd18. 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
Gozi
Vendor detections: 5
| SHA256 hash: | 52c064cb404452ef4c16589aa091405d2694ad65f714a52bc4e43162907dfd18 |
|---|---|
| SHA3-384 hash: | c0a79f36c72b3428b6bfce20f1502eeb9eff3eb3b667f6c65f99b66998b6bcadffd0b003c3f9dd9f504688cfd992b86e |
| SHA1 hash: | 901fbf215acbe0a71057e414bd45921099aae988 |
| MD5 hash: | beb3db80b8ddb78be8cb2a2915fc194f |
| humanhash: | mars-purple-blossom-lithium |
| File name: | 0013.pdf.cmd |
| Download: | download sample |
| Signature | Gozi |
| File size: | 8'950 bytes |
| First seen: | 2023-03-31 14:50:57 UTC |
| Last seen: | Never |
| File type: | |
| MIME type: | text/plain |
| ssdeep | 192:R+KiBPjgTWS4uxZL8YEa/bYqZ1CTKZYBxmgEes5S6jAHyug3vMbbsDiBPy9a:RliBPjgAuxB8LakqZtYlEes5S6jAHUed |
| TLSH | T15702C4AEA46B091D6CB8A4A19D79901CD7EDC5C20703EFFC200495A72C7E19BC592BA6 |
| TrID | 75.0% (.GIF) GIF bitmap (generic) (3000/1) 25.0% (.BG/BIN) PrintFox/Pagefox bitmap (640x400) (1000/1) |
| Reporter | |
| Tags: | BR-2963 cmd Gozi Ursnif |
Intelligence
File Origin
ITVendor Threat Intelligence
Result
Signature
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: | SUSP_GIF_Anomalies |
|---|---|
| Author: | Florian Roth (Nextron Systems) |
| Description: | Detects files with GIF headers and format anomalies - which means that this image could be an obfuscated file of a different type |
| Reference: | https://en.wikipedia.org/wiki/GIF |
| Rule name: | SUSP_GIF_Anomalies_RID2D89 |
|---|---|
| Author: | Florian Roth |
| Description: | Detects files with GIF headers and format anomalies - which means that this image could be an obfuscated file of a different type |
| Reference: | https://en.wikipedia.org/wiki/GIF |
File information
The table below shows additional information about this malware sample such as delivery method and external references.
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