MALICIOUS
94
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The sample is a PDF document flagged as malicious by a machine learning classifier and contains a link to known malicious redirector infrastructure. The embedded URL, https://gettraff.ru/strik?keyword=the+rough+faced+girl+pdf, is the primary indicator of malicious intent. While no scripts were explicitly extracted, the PDF structure and the presence of a malicious URL suggest an attempt to lure the user to a harmful site, likely for phishing or further malware delivery.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 3
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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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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://gettraff.ru/strik?keyword=the+rough+faced+girl+pdf
- https://cdn-cms.f-static.net/uploads/4379610/normal_5f9a9d0590279.pdf
- https://cdn-cms.f-static.net/uploads/4376858/normal_5f8c58638868d.pdf
- http://www.ascendercorp.com/
- http://www.ascendercorp.com/typedesigners.html
- https://s3.amazonaws.com/wewuxuviwar/37745611689.pdf
- https://uploads.strikinglycdn.com/files/e145ffa6-5420-4843-b410-0dbb4b64ad05/76596130904.pdf
- https://s3.amazonaws.com/firigugixujotov/zararuxava.pdf
- https://s3.amazonaws.com/bawalidamovidud/quincy_junior_high_school_quincy_illinois.pdf
- https://uploads.strikinglycdn.com/files/62c4a86a-1b74-44c9-8093-1679b9b4e6e1/cambridge_english_empower.pdf
- https://s3.amazonaws.com/tosevud/14935676992.pdf
- https://s3.amazonaws.com/leguvefu/toronto_attractions_map.pdf
- https://uploads.strikinglycdn.com/files/634512de-f119-461c-9049-5fee3565d562/bujoforikumasasezokedawo.pdf
- https://s3.amazonaws.com/tetazino/75137462999.pdf
- https://uploads.strikinglycdn.com/files/539e0b02-cb9f-4ca6-8883-f93b97d038d0/pusakogotevusapelivajud.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_off00006a5b.bin711859e39d4cba214c3716cce6985037184ad7c6d4e92c3fac0bef615c60809a |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6A5B | 5188 bytes |
font_01_sfnt_off00007c00.binf7dd90953a11fc4bf370f44b9c9e83f1b9ad65b68377fb020e6753669564e28f |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7C00 | 10396 bytes |
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