MalwareBazaar Database
You are currently viewing the MalwareBazaar entry for SHA256 f0ec9d000de9e7f1ee91e824b1714854e1989cfa39c1b3c91471bf387f939d73. 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: 14
| SHA256 hash: | f0ec9d000de9e7f1ee91e824b1714854e1989cfa39c1b3c91471bf387f939d73 |
|---|---|
| SHA3-384 hash: | 6e56e940ecd841a09d8182b5bc92ceda3cad596303b3457ad9ed8ee935c1bba755ef5e949c1701d66f7a84a1b349e782 |
| SHA1 hash: | 0090ba5391ea7bfbd99a3519ddea58124b03ed65 |
| MD5 hash: | c46f92a410d2ba774146b68c7f245d35 |
| humanhash: | kitten-kansas-nitrogen-timing |
| File name: | frideurpearoundhavesuchabeautifulgirlswholoveothertogethrbacktouseunderstandhowmuchitsisgoodforherto__beautifulthingsto.doc |
| Download: | download sample |
| Signature | AgentTesla |
| File size: | 73'009 bytes |
| First seen: | 2024-05-10 14:38:49 UTC |
| Last seen: | Never |
| File type: | |
| MIME type: | text/plain |
| ssdeep | 1536:3bauaBLJiOkp9bONlMihpaCDE6GjIuy4YCHOeeYSv+7FKFYZ78NLApoYJspoVKOQ:3baRLAOi9bONhhrDvGjIX4YCHOeeYSvd |
| TLSH | T10563FE2EE74F0965DF5596BB434A4A4906FCB33DB38140B179AC973437ADC2E4A2287C |
| Reporter | |
| Tags: | AgentTesla CVE-2017-11882 doc |
NDA0E
http://fridayyyyvert.3utilities.com/frideurpearoundhavesuchabeautifulgirlswholoveothertogethrbacktouseunderstandhowmuchitsisgoodforherto__beautifulthingsto.docIntelligence
File Origin
NLVendor Threat Intelligence
SecuriteInfo.com.FakeRTF-1.UNOFFICIAL
Sanesecurity.Malware.26244.RtfHeur.UNOFFICIAL
Sanesecurity.Malware.28765.RtfHeur.ObjUpd.UNOFFICIAL
Sanesecurity.Shelter.Malware.BadRtf.ObjUpd.UNOFFICIAL
MiscreantPunch.RTF.EvilRTF.CVE-2017-0199-Obfus.UNOFFICIAL
TwinWave.EvilDoc.RTFFakeVersionWithObjUpdateUKSurfMix.20200514.UNOFFICIAL
TwinWave.EvilRTF.ObfusRunAway.20240409.UNOFFICIAL
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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 |
| Rule name: | SUSP_RTF_Header_Anomaly_RID2F7F |
|---|---|
| Author: | Florian Roth |
| Description: | Detects malformed RTF header often used to trick mechanisms that check for a full RTF header |
| Reference: | https://twitter.com/ItsReallyNick/status/975705759618158593 |
File information
The table below shows additional information about this malware sample such as delivery method and external references.
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