MALICIOUS
154
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF document contains a link farm designed to redirect users to malicious infrastructure, specifically identified by the URL https://ttraff.ru/pify?keyword=basalt+fiber+sheet. The ML classifier strongly indicated maliciousness, and the presence of numerous external links, many pointing to benign Shopify URLs but one to a suspicious domain, suggests a phishing or redirection scheme. No scripts were extracted, but the PDF structure itself facilitates the malicious redirection.
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=basalt+fiber+sheet
- http://xonaso.jd3radio.com/uploads/1/3/0/7/130738629/xoziv.pdf
- http://www.ascendercorp.com/
- http://www.ascendercorp.com/typedesigners.html
- https://cdn.shopify.com/s/files/1/0431/3264/9636/files/99613788509.pdf
- https://cdn.shopify.com/s/files/1/0431/0011/0999/files/93693548278.pdf
- https://cdn.shopify.com/s/files/1/0447/4057/5381/files/pathology_textbook_for_medical_students.pdf
- https://cdn.shopify.com/s/files/1/0434/0780/2531/files/43633942278.pdf
- https://cdn.shopify.com/s/files/1/0437/9587/3949/files/foxit_reader_for_android_apk.pdf
- https://cdn.shopify.com/s/files/1/0435/1790/3008/files/fodotugiranipefaguku.pdf
- https://cdn.shopify.com/s/files/1/0428/3544/3871/files/mupasisakifone.pdf
- https://cdn.shopify.com/s/files/1/0431/8222/7617/files/kigezugabebunanuwiparepap.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/
- http://scripts.sil.org/OFL
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000067f4.bin3710dc430797a039a8eb57f9fadd0a9725f6e496eb1387ba684ca8df1c389a15 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x67F4 | 5044 bytes |
font_01_sfnt_off0000790c.binefea6c6fe198afa6da1ead91d775e4a3524af2c2b0a3cf57cb9e0955ec9ae2a0 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x790C | 11488 bytes |
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