MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF document is identified as malicious by multiple heuristics and a machine learning classifier, specifically flagged as a phishing trojan. It contains links to known malicious redirector infrastructure, such as 'https://traffking.ru/123?utm_term=tv+app+apk+for+android', which likely leads to the download of a second-stage payload. The document body content, while appearing to discuss app utilities, is likely a lure to disguise the malicious intent of the embedded links.
Machine Learning
- Nyx PDF Classifier malicious score 0.9997
Heuristics 5
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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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PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINKPDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
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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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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://traffking.ru/123?utm_term=tv+app+apk+for+android In PDF document text
- https://s3.amazonaws.com/mejigavukolu/tomoja.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4380881/normal_5fa469bf5c7f1.pdfIn PDF document text
- https://static.s123-cdn-static.com/uploads/4479691/normal_5fc685a702271.pdfIn PDF document text
- https://s3.amazonaws.com/lijopavexanuse/domaxuliwagerejebupisemow.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4451574/normal_5fb5b80de2537.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4405929/normal_5fa1830c1dc34.pdfIn PDF document text
- https://cdn.sqhk.co/solumapidema/RIpB5Jc/waste_canvas_cross_stitch.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4468823/normal_5fb4a07b48855.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4426550/normal_5fab18ce3cba1.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4390056/normal_5faee3a66a81b.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4446923/normal_5fa34604f3749.pdfIn PDF document text
- http://www.ascendercorp.com/In extracted file (font_00_sfnt_off0000d947.bin)
- http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off0000d947.bin)
- 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 extracted file (font_00_sfnt_off0000d947.bin)
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000d947.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xD947 | 4896 bytes |
SHA-256: 41e8beb4199d1f9740568afeead01c68f3b1945cd78b0cb5fb7e3385337615d7 |
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font_01_sfnt_off0000ea0d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xEA0D | 10852 bytes |
SHA-256: f680331e2be5920250d0fa42a2ae68fdea8b2a8b7fb1e5072ce9d508d93fc5aa |
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