MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF document was flagged as malicious by a machine learning classifier and contains numerous embedded links. One critical heuristic identified links pointing to known malicious redirector infrastructure, specifically 'https://ttraff.com/pify?keyword=aikawa+saki+anime'. Another heuristic indicated a PDF link farm, with many links pointing to Shopify domains, likely for SEO manipulation to distribute malicious content. The document body contains garbled text and the malicious URL, suggesting a lure to a malicious site.
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=aikawa+saki+anime In PDF document text
- http://files.la-enthusiast.com/uploads/1/3/1/3/131398129/3756468.pdfIn PDF document text
- http://files.supercoolcustoms.com/uploads/1/3/0/8/130813796/2778933.pdfIn PDF document text
- http://rolije.hendrygeosciences.com/uploads/1/3/1/4/131407089/suribogawelarator.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/1/0432/9324/5590/files/el_ambito_de_la_filosofia_practica.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2426/8968/files/96186116162.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/8714/8709/files/besivuwe.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/3743/2744/files/nijiwakofisipabof.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0462/3145/3847/files/zukakorubeveturi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3849/8206/files/zuben.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/46676539889.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/4031/5294/files/building_drawing_book_for_diploma.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2705/4237/files/totosumava.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/nemevisofopanufu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0449/8269/8142/files/water_and_wastewater_engineering_davis.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7508/4193/files/chemistry_handwritten_notes_for_upsc.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
🗂 Part of campaign:
keyvanpaydar.com
4 samples
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00004560.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x4560 | 3764 bytes |
SHA-256: 2223d465ec6cdbcd6e7a7c7300de542e4d0bd4e16883bac58d383a46e646dfe8 |
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font_01_sfnt_off000052b9.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x52B9 | 4848 bytes |
SHA-256: 798c6ab302ff973f4fccc5396f03188d3c999d2543958a1e8df976aff7151d3c |
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font_02_sfnt_off00006331.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6331 | 10892 bytes |
SHA-256: b44afec880824daa06bc1bf05d1641480ba8862d428583ed4206dadd43ddcee3 |
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