MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains numerous embedded URLs, with a critical heuristic firing for a malicious redirector link to 'ttraff.ru'. The document body, though heavily obfuscated, also contains this URL and other Shopify links, suggesting a link farm or SEO poisoning tactic to distribute malicious content. The ML classifier also strongly indicated maliciousness.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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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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Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARMSmall PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
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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://ttraff.ru/pify?keyword=beach+boy+ardashir+vakil+pdf In PDF document text
- http://josuxonez.allieetoile.com/uploads/1/3/1/4/131406343/731745.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/3960/3360/files/26298566231.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/4302/7104/files/guzixoxuxozejosaferexuw.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9137/7828/files/60980296254.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/2438/4154/files/xogafaziwo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6354/9845/files/gibijijidiketobisix.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/0568/9504/files/mepazen.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/3993/1038/files/dubai_metro_red_line_map.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/5104/9370/files/kabusit.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6397/5835/files/pevikoruwikise.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/6086/9785/files/allahabad_university_ma_english_syllabus.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_off000061f3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x61F3 | 5656 bytes |
SHA-256: dcf6a5aefb67118609040ed8ea516bbbc3e0191c3ee5b9a8281ea36b707a395b |
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font_01_sfnt_off0000752b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x752B | 9816 bytes |
SHA-256: 89c716673ae7354132c2040c5c955d050cf96b36c8183ff8c3185da03dc7846d |
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