MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF was flagged by a machine learning classifier and contains numerous embedded links. One critical heuristic identified a link to a known malicious redirector at 'https://ttraff.com/pify?keyword=list+of+words+with+silent+letters+in+english+pdf'. Another critical heuristic indicated a link farm structure with 18 external PDF links, many hosted on cdn.shopify.com. The document body contains text related to the embedded links, suggesting a lure.
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=list+of+words+with+silent+letters+in+english+pdf In PDF document text
- http://ridiripag.carrielwells.com/uploads/1/3/0/8/130874218/repok.pdfIn PDF document text
- http://files.ocvbc.com/uploads/1/3/1/4/131437733/vokezulubaxogib_fenedo_surepagamapif_rolezeromirib.pdfIn PDF document text
- http://files.rickyfrank.com/uploads/1/3/1/3/131398102/somupokaluredexuv.pdfIn PDF document text
- http://files.dianahubbell.com/uploads/1/3/2/6/132683154/povijetul-bitatizepenawov-xubupabixifo.pdfIn PDF document text
- http://files.healthylivingtc.com/uploads/1/3/0/7/130775361/da9526b7c.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/1/0433/0687/7080/files/noviwuvado.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/0487/0305/files/vizajumufaxominoj.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/7509/9041/files/fizula.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/9368/0547/files/ap_grama_sachivalayam_results.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/3937/2965/files/tefukigazumowojabarewuris.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8819/9332/files/zeganilenivijuvugekazo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/3102/0198/files/82462265784.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/2802/8312/files/zujujaguvuluwifagabev.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6859/6123/files/pitewo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/8095/8617/files/tozuvo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/9412/1379/files/30714167215.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/1683/8558/files/75880592993.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/0962/2691/files/xiaomi_air_purifier_2s_user_manual.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_off000067fa.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x67FA | 5124 bytes |
SHA-256: 2aedcdced342a4b6e4c608a3bebf0630dd4e1d3ccaac9ef1b9a7f489b0dbb542 |
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font_01_sfnt_off00007981.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7981 | 10120 bytes |
SHA-256: 842d8008c1c1c4c641b30fb0a77b55adbd7fbe9c4c7f6bc1303a3eadb72c67f9 |
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