MALICIOUS
176
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1203 Exploitation for Client Execution
T1059.007 JavaScript
This PDF file was flagged by a machine learning classifier and ClamAV as malicious, exhibiting characteristics of phishing and fake CAPTCHA lures. The embedded URL, https://trafffi.ru/123?utm_term=gears+tv+apk, is likely used to deliver a secondary payload or redirect the user to a malicious site. The presence of PDF-specific heuristics and the fake CAPTCHA detection strongly suggest an attempt to exploit user interaction for malicious purposes.
Machine Learning
- Nyx PDF Classifier malicious score 0.9997
Heuristics 6
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ClamAV: Pdf.Phishing.Trojan-d2528dad23a95d95-d2528dad23a95d95-10044376-0 critical CLAMAV_DETECTIONClamAV detected this file as malware: Pdf.Phishing.Trojan-d2528dad23a95d95-d2528dad23a95d95-10044376-0
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Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINKPDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
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Fake CAPTCHA / human verification prompt high SE_FAKE_CAPTCHADocument displays a fake CAPTCHA or human-verification prompt — used to trick users into running commands or pressing keyboard shortcuts
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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://trafffi.ru/123?utm_term=gears+tv+apk PDF link annotation
- https://cdn-cms.f-static.net/uploads/4386607/normal_5f97525a7b03d.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4389585/normal_5f91aac4bbb20.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4457005/normal_5fa1dda82cb00.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4373749/normal_5f89ea27d9410.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366331/normal_5f91e16cc1a9a.pdfIn PDF document text
- https://s3.amazonaws.com/simujix/integra_ls_turbo_build.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4426415/normal_5f9b5a63386ca.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4375075/normal_5f938b373f573.pdfIn PDF document text
- https://s3.amazonaws.com/jojitagifuva/15804023241.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://uploads.strikinglycdn.com/files/b03c8c6c-cdb6-4c7f-b42e-08d1dc891b5e/muvaxufafagumegafizev.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/c74e595f-e15a-4c7d-b676-d1cce3cde6f1/bonolenidawovegemusiza.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_off0000d500.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xD500 | 4936 bytes |
SHA-256: ef752814c5daeab7afb18a4b4e104e3eb64aa16b33bb0ca155b577e39626e5bf |
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font_01_sfnt_off0000e5e6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xE5E6 | 11612 bytes |
SHA-256: 699e5432e3ce9e9f649b7c9ca4b709caf73f3b46e855b698938e73a7873faa3c |
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