MALICIOUS
154
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1200 Hardware Add-in Systems
The PDF file was identified as malicious by a machine learning classifier and contains a large number of external links, many hosted on Shopify. One of these links, 'https://ttraff.cc/pify?keyword=html+form+input+email+validation', is a known malicious redirector. The document body contains garbled text but includes the same URL, suggesting it is intended to lure the user to a malicious site. No scripts were extracted, and the primary malicious activity appears to be the redirection to a harmful URL.
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.cc/pify?keyword=html+form+input+email+validation
- http://tomikanu.jogen.org/uploads/1/3/0/7/130739860/3f630c43403.pdf
- https://cdn.shopify.com/s/files/1/0432/2813/5592/files/11055829556.pdf
- https://cdn.shopify.com/s/files/1/0433/7437/9158/files/81954011514.pdf
- https://cdn.shopify.com/s/files/1/0432/5575/9011/files/42263856378.pdf
- https://cdn.shopify.com/s/files/1/0433/0828/6105/files/mazak_manuals.pdf
- https://cdn.shopify.com/s/files/1/0428/1932/2022/files/26745420586.pdf
- https://cdn.shopify.com/s/files/1/0429/2775/1321/files/9392457295.pdf
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/31903895201.pdf
- https://cdn.shopify.com/s/files/1/0431/3019/2039/files/30671106768.pdf
- https://cdn.shopify.com/s/files/1/0437/6412/1752/files/vimajolas.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_off00007ef8.bind05c3b4e0f67d47673e12d68ed82d466ac51808f8d5c9e5e5b51ef74168f1581 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7EF8 | 5032 bytes |
font_01_sfnt_off00008ffc.bine8560516c9a64e75522211f0e75b95ace8068b7f54ae1931f68670fab082a9f4 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8FFC | 14000 bytes |
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