MalwareBazaar Database
You are currently viewing the MalwareBazaar entry for SHA256 50db4947b7b376e1dcf502a704bd87dbbc7a04959720f5c2b9390d171cef240c. 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: | 50db4947b7b376e1dcf502a704bd87dbbc7a04959720f5c2b9390d171cef240c |
|---|---|
| SHA3-384 hash: | f6412d59fafecefaa8ebdabb3929882eb34eec486a4896ae97259287fd19afb89bd6159f97419488a9a5ba021eb39bdd |
| SHA1 hash: | f96ce3dfd7435fd8db601ee73d4c0d20fe0a52a4 |
| MD5 hash: | cfd4d9dd527b39666c60b568cba3c5a1 |
| humanhash: | black-jersey-sweet-failed |
| File name: | nick.doc |
| Download: | download sample |
| Signature | AgentTesla |
| File size: | 604'003 bytes |
| First seen: | 2024-07-15 12:57:59 UTC |
| Last seen: | 2024-07-15 13:19:44 UTC |
| File type: | |
| MIME type: | text/rtf |
| ssdeep | 6144:FGuqGuqGuqGuqGuqGuqGuqGuqGuqGuqGuqGuqGuqGuqGuqGuqGuqGuqGuqGuqGuF:T9 |
| TLSH | T1E3D45C6DD34A02598F620337AB571E5142BDBB7EF38552A1306C537933DAC3CA2252BE |
| Reporter | |
| Tags: | AgentTesla CVE-2017-11882 doc |
Intelligence
File Origin
NLVendor Threat Intelligence
Result
Behaviour
Result
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Signature
Behaviour
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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: | INDICATOR_RTF_MalVer_Objects |
|---|---|
| Author: | ditekSHen |
| Description: | Detects RTF documents with non-standard version and embeding one of the object mostly observed in exploit documents. |
| Rule name: | SUSP_INDICATOR_RTF_MalVer_Objects |
|---|---|
| Author: | ditekSHen |
| Description: | Detects RTF documents with non-standard version and embedding one of the object mostly observed in exploit (e.g. CVE-2017-11882) documents. |
| Reference: | https://github.com/ditekshen/detection |
File information
The table below shows additional information about this malware sample such as delivery method and external references.
Malspam
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