Malware Insights
The PDF contains a mass of external links, many pointing to benign Shopify domains, but one critical link directs to a known malicious redirector. The document body, though heavily obfuscated, contains the string 'Anti theft alarm pro app' and the malicious URL, suggesting a lure to trick users into clicking. The ML classifier strongly indicated maliciousness, and the PDF structure itself is designed to host a large number of links, likely for SEO manipulation or to distribute malware through a link farm. No scripts were extracted from this sample.
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=anti+theft+alarm+pro+app In PDF document text
- http://files.honsinternational.com/uploads/1/3/2/7/132740606/2021438.pdfIn PDF document text
- http://zisib.ianwarder.com/uploads/1/3/2/8/132814930/rotipugewux.pdfIn PDF document text
- http://files.smallgroupsministry.com/uploads/1/3/1/8/131858916/4fc8e7ab.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/1/0435/2396/5079/files/rectangle_formula.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0831/8878/files/lolosonise.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0447/9637/9285/files/brownie_household_elf_badge.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/7257/7946/files/vodur.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/5228/3542/files/73221176755.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/4339/5483/files/argala_stotram_in_marathi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/3110/1603/files/tuwel.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/78394199391.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/4266/7676/files/53648714406.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8818/3456/files/52107413768.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0460/1407/0945/files/brotherhood_of_steel_uniform_black.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/1732/9064/files/febosaguvixikunep.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/0699/9203/files/medical_summary_report.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/8488/2844/files/kevewonuxezivasolagesi.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_off000062fd.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x62FD | 4952 bytes |
SHA-256: 62f2dd75d7df168b8e423f5a099a4b4ac328645349d02738b9d8b778c2d94b71 |
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font_01_sfnt_off000073a6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x73A6 | 10308 bytes |
SHA-256: 3a426afbdec5f9087c006c349f8d48d1fa1d3c7dd93b60f9cab2a864f19fd7e9 |
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