MALICIOUS
96
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains a large number of external links, many of which are to PDF files, suggesting a link farm or SEO poisoning attempt. The primary URL, https://traffset.ru/123?keyword=artificial+intelligence+with+python+ppt, is presented as a document title, indicating a lure to a malicious website. The ML classifier strongly flagged this PDF as malicious, supporting the assessment of a malicious intent.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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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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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/123?keyword=artificial+intelligence+with+python+ppt PDF link annotation
- https://cdn-cms.f-static.net/uploads/4390660/normal_5f8f46a2e1158.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367646/normal_5f8a798b193e1.pdfIn PDF document text
- https://najutumivuzobo.weebly.com/uploads/1/3/4/4/134473994/4779428.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4381098/normal_5f8cbe6aa03da.pdfIn PDF document text
- https://gokopawe.weebly.com/uploads/1/3/4/4/134493337/9603088.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4407316/normal_5f985b57c2d55.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://s3.amazonaws.com/mukut/viniwuzevatirewuwitefofaf.pdfIn PDF document text
- https://s3.amazonaws.com/gozifep/28952480418.pdfIn PDF document text
- https://s3.amazonaws.com/jasadavebaga/standard_bolt_sizes_chart.pdfIn PDF document text
- https://s3.amazonaws.com/mejifavo/4430046254.pdfIn PDF document text
- https://s3.amazonaws.com/subud/python_programming_book.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000f51f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xF51F | 5072 bytes |
SHA-256: 54e0ba4fdf2b42df650bcbfb3eb8ddee1ea1f09c385f03faab5186242ade546f |
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font_01_sfnt_off0001065e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x1065E | 11776 bytes |
SHA-256: 3a663abb0c5dd16d123915afe5bdc421cd58ae0335baf43ba57931570800b255 |
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font_02_sfnt_off00012e84.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x12E84 | 4324 bytes |
SHA-256: 4fcfa7c68d76e23b667942a3ac892d2d5d88346478daafc61479ad4df4af3dd3 |
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