MALICIOUS
96
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF file was detected as malicious by ML classifiers and ClamAV, specifically identified as a phishing trojan. It contains an embedded URI pointing to 'traffset.ru', which is likely a malicious domain used for distributing malware. The document body, though heavily obfuscated, suggests a lure related to downloading software.
Machine Learning
- Nyx PDF Classifier malicious score 0.9994
Heuristics 4
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ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTIONClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
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External URI info PDF_URIPDF contains an external URL action
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Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTALThe same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
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Embedded URL info EMBEDDED_URLOne or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.URL https://traffset.ru/aws?utm_term=uc+browser+mini+2019+apk PDF link annotation
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://uploads.strikinglycdn.com/files/10e4e69d-401d-4d02-a6a9-cc7ef118cfef/xafiworetebowojasix.pdfIn PDF document text
- https://s3.amazonaws.com/zosevid/google_sites_intranet.pdfIn PDF document text
- https://s3.amazonaws.com/viromibukoleliw/whatsapp_apk_mirror_2._17_351.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/47d4ce6b-2a57-49cb-b2ea-87cdfe5f2771/buwekazegorujabem.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/6c11c673-4c6f-4601-afb1-bcd2685cf3b5/ratufe.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/9de5d996-e582-4a34-8774-b9fc2b6a7fd0/python_artificial_intelligence_tutorial.pdfIn PDF document text
- https://s3.amazonaws.com/pizexopenaxu/49958862075.pdfIn PDF document text
- https://s3.amazonaws.com/bejexe/fuzimudokazaxixifojewog.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/80843b8d-900d-4add-9ccb-4e463cda1cff/58067798181.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/40aaf3ab-521c-431e-ab6c-3702e8568e89/nusearch_nottingham_ningbo.pdfIn PDF document text
- http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
- http://purl.org/dc/elements/1.1/In PDF document text
- http://ns.adobe.com/pdf/1.3/In PDF document text
- http://ns.adobe.com/xap/1.0/In PDF document text
- http://ns.adobe.com/xap/1.0/mm/In PDF document text
- http://ns.adobe.com/xap/1.0/rights/In PDF document text
- http://scripts.sil.org/OFLIn PDF document text
- http://dejavu.sourceforge.netIn PDF document text
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000d1e7.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xD1E7 | 5816 bytes |
SHA-256: d523fa550269754b1831ed78afc1a46cd285587ce4946b13442b9523b8f9bf7e |
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font_01_sfnt_off0000e5b7.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xE5B7 | 10056 bytes |
SHA-256: cb6d975c273d017bf8e6bdbe19d55db76dc81b3af73be15569b28ff3c31b272a |
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font_02_sfnt_off0001082d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x1082D | 16092 bytes |
SHA-256: ea75db71c9df7250347a03039f742fcd189f5fc3f08964e696816fa8b5227073 |
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