MALICIOUS
136
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The file is identified as malicious by ClamAV and an ML classifier, indicating a high likelihood of malicious intent. The presence of an external URI pointing to 'traffset.ru' suggests a phishing or malware distribution attempt. The 'SE_LOLBIN_RUN_COMMAND' heuristic further supports the malicious nature by indicating suspicious command execution patterns within the document.
Machine Learning
- Nyx PDF Classifier malicious score 0.9979
Heuristics 5
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ClamAV: Pdf.Phishing.Trojan-d2528dad23a95d95-d2528dad23a95d95-10044376-0 critical CLAMAV_DETECTIONClamAV detected this file as malware: Pdf.Phishing.Trojan-d2528dad23a95d95-d2528dad23a95d95-10044376-0
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LOLBin token sequence in document text high SE_LOLBIN_RUN_COMMANDExtracted document text contains a Windows script/execution tool name (PowerShell, mshta, cmd, rundll32, regsvr32, …) within 220 characters of a dangerous flag, command verb, or URL. This is a visible 'run this' instruction in HTML/PDF/RTF lure bodies, or — in macro-laden Office files — the macro's own string-pool entries appearing adjacent in extracted text.
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External URI info PDF_URIPDF contains an external URL action
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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://traffset.ru/aws?utm_term=glast+heim+devil+wing+quest+guide PDF link annotation
- https://cdn-cms.f-static.net/uploads/4416932/normal_5fa6547540cd7.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365600/normal_5f8709b36ee47.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365540/normal_5f8a1a937853b.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367905/normal_5f8756f837798.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365563/normal_5fa61faaa07c4.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://s3.amazonaws.com/petubapizo/1664182771.pdfIn PDF document text
- https://s3.amazonaws.com/rizijubovapuk/anti_money_laundering_training.pdfIn PDF document text
- https://s3.amazonaws.com/jamokaroxoj/mugisijorivukikom.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/ade03901-f1e2-45bc-a6dc-7ab42d34253c/36450261916.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_off0000c561.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xC561 | 5452 bytes |
SHA-256: fa308cdc35d9cb8a7250a932daa75438939d8aabae89dff7027994b61469fc0b |
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font_01_sfnt_off0000d7d6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xD7D6 | 10692 bytes |
SHA-256: e15be58884308212a681aac5d3e537b3d1f48ab196ba5f2a844f70146f4abc8b |
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