Malware Insights
The PDF file contains numerous embedded links, with a critical heuristic identifying a link to a known malicious redirector at https://ttraff.com/pify?keyword=goodword+english+arabic+dictionary+pdf. This suggests a social engineering attack aiming to lure users to malicious infrastructure. The document body, though heavily obfuscated, contains references to a dictionary and the wkhtmltopdf tool, reinforcing the lure. The presence of many links to Shopify domains, while individually benign, contributes to a link farm tactic. No scripts were extracted from this sample.
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.com/pify?keyword=goodword+english+arabic+dictionary+pdf In PDF document text
- http://files.letsgetlegalnz.com/uploads/1/3/0/7/130775866/b4ebe2e268.pdfIn PDF document text
- http://files.arkansaspastelsociety.com/uploads/1/3/1/4/131411474/4272817.pdfIn PDF document text
- http://files.spiritfireshaman.com/uploads/1/3/2/7/132741382/lotizakisubanas-xutov-tijonopimubepal.pdfIn PDF document text
- http://files.ladyteeth.com/uploads/1/3/1/4/131406811/labewexudejosiwuki.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/1/0432/7027/5237/files/senizinidakuxivopoviwig.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8658/5749/files/xowukevedumuparitadubu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6657/2452/files/tamutenarupapirotur.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/4496/9367/files/numulogufisupif.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5938/8320/files/nikuxegepefumofodegabotog.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6473/7448/files/minecraft_wirkds_fikder.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/1493/0084/files/35668889611.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/9509/5451/files/88038688312.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/4265/1816/files/nefaladus.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/4868/0089/files/brownian_motion_physics.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/1116/8664/files/2969701490.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/73881495537.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/4557/6088/files/zaxazageb.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/8333/9678/files/stock_market_basics_in_telugu.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_off000053af.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x53AF | 5780 bytes |
SHA-256: 268f8e4734757adf11256ab31b9d66f8d8aa298812a9a229440826db23ff4d63 |
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font_01_sfnt_off00006772.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6772 | 9812 bytes |
SHA-256: 6b2d82f9e4c8a46057b4fd704783b50b640464c514415df9773502ae7bf85252 |
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