MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF document contains a large number of embedded links, many of which point to redirector infrastructure. The primary redirector URL, 'https://ttraff.cc/pify?keyword=american+slang+words+pdf', is flagged as malicious. The document body, though heavily obfuscated, also contains this URL and other benign-looking Shopify links, suggesting a lure for users to click through to malicious content. The ML classifier strongly supports the malicious verdict.
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.cc/pify?keyword=american+slang+words+pdf In PDF document text
- http://files.mrshemlersclass.com/uploads/1/3/1/3/131380177/3b89356c.pdfIn PDF document text
- http://files.codexpolaris.com/uploads/1/3/1/8/131856852/xepotil_welaraliwese_pazinukupa_bivanuwolizabos.pdfIn PDF document text
- http://files.crystalconnections.co.uk/uploads/1/3/1/8/131871704/zojelosizaluvi_furabifet_kijufuxiroge.pdfIn PDF document text
- http://files.apwilder.com/uploads/1/3/0/7/130740363/jutixenajoromiv.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/1/0428/2672/7580/files/suwibumabitalunatinu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/6856/4380/files/wuwivajoxejoxunokaturan.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/1162/1543/files/kudeziroxosiluxaluze.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/0450/9853/files/gavuvas.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5719/2853/files/blender_merge_vertices.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0745/1041/files/11401240751.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/2021/2645/files/princeton_review_sat_chemistry_practice_test.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/pidepuwavulosetanujerepub.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0032/3481/files/77076076736.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/2052/5476/files/99988776438.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/7128/4135/files/xanetolenape.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/5454/6590/files/numerawuwitoketiwi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9740/7126/files/da_form_5840_r.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/5136/8104/files/xolofolivi.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_off000064ea.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x64EA | 5556 bytes |
SHA-256: a6d6a850234456c7360fc1bbccccfc3d7b4bc8778007596cc62dbabe45a2fe35 |
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font_01_sfnt_off000077c6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x77C6 | 9768 bytes |
SHA-256: 280cbf63dce8c23bd43a1bebade95f17f9f5ec3956c5005e04a5820ebc4af779 |
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