MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF document contains numerous embedded links, many of which point to a redirector service (ttraff.com) that is flagged as malicious. The document body itself is heavily obfuscated but contains the primary redirector URL and several Shopify-hosted PDF links, suggesting a link farm or phishing lure. The ML classifier strongly indicates maliciousness, and the presence of redirector links points towards an attempt to lead the user to malicious content.
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=thousand+years+of+love In PDF document text
- http://files.jassiewassy.com/uploads/1/3/0/8/130873983/662622.pdfIn PDF document text
- http://files.paradigmshiftedu.com/uploads/1/3/0/8/130813483/ratobukezifilezipono.pdfIn PDF document text
- http://files.veneficaclothing.com/uploads/1/3/1/6/131637014/9917641.pdfIn PDF document text
- http://wedug.ashleyeglennon.com/uploads/1/3/0/8/130814788/3625938.pdfIn PDF document text
- http://files.wilesanimalsdragonspottery.com/uploads/1/3/1/3/131398246/7334618.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://cdn.shopify.com/s/files/1/0433/9515/4070/files/weloloru.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/2358/7736/files/loginatigaxofipanelu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/2530/9604/files/kevamo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/6196/8025/files/49256970535.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/7316/6744/files/gujuranerowivefafirivuvi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/1945/9998/files/3d_printed_ar_lower.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9468/8419/files/bootstrap_image_classes.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/7833/7187/files/98557740795.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/7645/9422/files/fowifogopugekegomi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0876/1764/files/megit.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/6995/5486/files/nivamuru.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3964/5093/files/53041121572.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/tefabojukiva.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 4
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00006795.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6795 | 3388 bytes |
SHA-256: 249120817a62692674a03fe6eaeef5d5527d2a8e73cea9ecf0c2d7e79810b552 |
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font_01_sfnt_off000073b9.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x73B9 | 4860 bytes |
SHA-256: 4d1039ee6ff1252b22b47b693fae1803d36b3cc83b3ee1af2a50cf6d8dc264b7 |
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font_02_sfnt_off00008435.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8435 | 10388 bytes |
SHA-256: fd67046a5c4f654ae7ed818d0585e9c5b88ffac4d12ea95263600f42142eb84a |
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font_03_sfnt_off0000a73e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA73E | 4324 bytes |
SHA-256: cd94ef65598b1866d0653cdd88243d989fd81359c0e770c2d3a4858f1c2f6d34 |
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