MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a link to a known malicious redirector, ttraff.com, which is disguised as a link to nursing notes. The document body also contains numerous links to external PDFs hosted on Shopify, likely part of a link farm to improve search engine ranking for malicious content. The ML classifier strongly flagged this PDF as malicious.
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=nursing+pathophysiology+notes+pdf In PDF document text
- http://tozoxe.teachingreexplored.org/uploads/1/3/2/6/132680813/zasazegovexixapu.pdfIn PDF document text
- http://pizizu.soakitupfranklinma.org/uploads/1/3/2/3/132303382/dugalid.pdfIn PDF document text
- http://files.bettylous.com/uploads/1/3/1/3/131397938/7ae0e55f38.pdfIn PDF document text
- http://files.ophc.life/uploads/1/3/1/4/131437736/6681433.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/1/0438/2638/0960/files/nenapumuzinosef.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5347/3189/files/65356351937.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3545/0774/files/nobukipigofumexoluduvi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/8237/5577/files/xeluzebawaregujesogu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/74832969368.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8891/2290/files/pixejabimekuvovoxe.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/2945/5263/files/xolipixegidupasukaluxejut.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/4981/8024/files/mubazipujot.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/6711/1584/files/lixexuliwuv.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0740/9310/files/vurogopovoramidigorekoti.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5509/5712/files/animal_kingdom_disney_world_map.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/1991/0820/files/cardo_santo_propiedades.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
- http://dejavu.sourceforge.netIn PDF document text
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00007b2e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7B2E | 5376 bytes |
SHA-256: c5acf866486c14e8348b2953cec3b5ff96dc40eaf88b7272efd05bc6c272d128 |
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font_01_sfnt_off00008d7b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8D7B | 10576 bytes |
SHA-256: abbc96e1cfae4cc6bfa19caa20a8e25b159ff08d8c46f2edece76aa994714e63 |
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font_02_sfnt_off0000b1a6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xB1A6 | 16960 bytes |
SHA-256: 6d7b14acb5cc961afde6567b41bd74085944f5944e8db2b72431a8c6ae57b581 |
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