MALICIOUS
152
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF was flagged as malicious by an ML classifier and contains a significant number of embedded links, many pointing to external PDFs hosted on Shopify. One URL, 'https://ttraff.ru/pify?keyword=breast+lump+treatment+guidelines', is identified as a malicious redirector. The document body, though heavily obfuscated, also contains this URL and other PDF links, suggesting a link farm or SEO manipulation tactic to distribute malicious content.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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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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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.ru/pify?keyword=breast+lump+treatment+guidelines
- http://files.mariacioe-pena.com/uploads/1/3/0/8/130813095/mekebixevodo.pdf
- https://cdn.shopify.com/s/files/1/0432/4501/1112/files/formation_adjointe_administrative_virtuelle.pdf
- https://cdn.shopify.com/s/files/1/0434/8936/2082/files/zevufo.pdf
- https://cdn.shopify.com/s/files/1/0435/5234/2184/files/mirofojojepufosa.pdf
- https://cdn.shopify.com/s/files/1/0432/4642/0132/files/37826295959.pdf
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/fikikotiv.pdf
- https://cdn.shopify.com/s/files/1/0434/7727/0692/files/faxawasadalavixujikuti.pdf
- https://cdn.shopify.com/s/files/1/0428/4357/0343/files/advanced_mathematics_questions.pdf
- https://cdn.shopify.com/s/files/1/0435/4709/9290/files/20825781729.pdf
- http://www.w3.org/1999/02/22-rdf-syntax-ns#
- http://purl.org/dc/elements/1.1/
- http://ns.adobe.com/pdf/1.3/
- http://ns.adobe.com/xap/1.0/
- http://ns.adobe.com/xap/1.0/mm/
- http://ns.adobe.com/xap/1.0/rights/
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00006575.bin40ccbf6d4fc76b9475c2a37bde411f75da935eb75e255d543aca46d65da15446 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6575 | 5328 bytes |
font_01_sfnt_off00007776.bina99bb7c1e7cda870e6ffeff9948be83495a59e35959fa07573267cf2e39b49d3 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7776 | 10916 bytes |
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