MALICIOUS
96
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF document contains heuristics indicating it is malicious and has been flagged by a machine learning classifier and ClamAV. It embeds external URIs, with the primary one being 'https://traffine.ru/123?utm_term=how+can+seniors+lose+belly+fat', suggesting a phishing or scam attempt disguised as health information. No scripts were extracted, but the presence of embedded URLs and the overall malicious verdict strongly indicate a phishing or scam lure.
Machine Learning
- Nyx PDF Classifier malicious score 0.9997
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://traffine.ru/123?utm_term=how+can+seniors+lose+belly+fat PDF link annotation
- https://static.s123-cdn-static.com/uploads/4419192/normal_5fe437dcb9413.pdfIn PDF document text
- https://cdn.sqhk.co/xidodaxu/gpgfGhj/drag_racing_creative_mobile_mod_apk.pdfIn PDF document text
- https://rawudirujitasep.weebly.com/uploads/1/3/4/5/134588445/sejod.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4424935/normal_5f97b6619b352.pdfIn PDF document text
- https://static.s123-cdn-static.com/uploads/4448343/normal_5ff1e801a44b2.pdfIn PDF document text
- https://static.s123-cdn-static.com/uploads/4413848/normal_5fe44653b90db.pdfIn PDF document text
- https://cdn.sqhk.co/gubujurit/gjigBij/38570510583.pdfIn PDF document text
- https://wavupuzubeje.weebly.com/uploads/1/3/4/2/134235525/f1023.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4482206/normal_5fb8a5a0e31d6.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4455658/normal_5fa17d9379fc5.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://s3.amazonaws.com/rolefosiju/65687071797.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
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000f478.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xF478 | 5168 bytes |
SHA-256: 090dfa361b820af5fa87068b9b8e90279fc181c4660a6195a9ba1f5df7e69f5c |
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font_01_sfnt_off00010630.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x10630 | 11700 bytes |
SHA-256: e2d79ce7fb7e98d2fa64cb776d85ddd163d38d5be9d46b4070ff23523b6fcdc5 |
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