MalwareBazaar Database
You are currently viewing the MalwareBazaar entry for SHA256 741f2c4f961034604f560c89ada5369e772eac51def7ebd6b4ac7840f8d0562e. 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: 15
| SHA256 hash: | 741f2c4f961034604f560c89ada5369e772eac51def7ebd6b4ac7840f8d0562e |
|---|---|
| SHA3-384 hash: | d5fda0f567e308775c79af18f9f2bd11d574da8fbe12b27f48fcbc08a4cce01ca9915d7d24d38d49cfd1dc7f0f5bf926 |
| SHA1 hash: | 1b5bb3efa1bb347352dc7bceae7bb55b0819eb91 |
| MD5 hash: | 4ba517cee0b4e4c77e6178a1f77d862b |
| humanhash: | ten-eighteen-pizza-kentucky |
| File name: | 4ba517cee0b4e4c77e6178a1f77d862b |
| Download: | download sample |
| Signature | AgentTesla |
| File size: | 27'718 bytes |
| First seen: | 2023-07-05 03:45:41 UTC |
| Last seen: | Never |
| File type: | |
| MIME type: | text/rtf |
| ssdeep | 384:3QMmdOFNYY0aaaIswqPeOrka1+fHQJ+t3rQkRhZiXjvd3Qnlnktn2fEdgUonATvJ:tFx0XaIsnPRIa4fwJMMzvd3uk1cEdiyJ |
| TLSH | T143C2A556E79B03748F5112B2171F1BC99B2DB53EB35444A178AC837433E9C2A4276AFC |
| TrID | 71.4% (.PZ2) Poser pose (12500/1/4) 28.5% (.RTF) Rich Text Format (5000/1) |
| Reporter | |
| Tags: | AgentTesla CVE-2017-11882 rtf |
Intelligence
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FRVendor Threat Intelligence
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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.
Web download
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