MALICIOUS
154
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
The PDF document was flagged as malicious by a machine learning classifier and contains numerous external links. One of these links directs to a known malicious redirector infrastructure, suggesting a phishing or malware distribution attempt. The presence of a mass link farm further supports this, aiming to obscure the malicious destination.
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=eternal+mirror+divinity+2
- http://files.growingupstpete.com/uploads/1/3/1/4/131438617/folumu.pdf
- http://files.stjohnbaptistpreschool.com/uploads/1/3/0/7/130775646/baxanuvupime.pdf
- http://files.markcgarrett.org/uploads/1/3/1/3/131383613/4938918.pdf
- http://www.ascendercorp.com/
- http://www.ascendercorp.com/typedesigners.html
- http://www.daltonmaag.com/
- https://cdn.shopify.com/s/files/1/0431/4651/0497/files/vudabemavuzuzesabebesonu.pdf
- https://cdn.shopify.com/s/files/1/0431/2940/5600/files/best_definition_of_artificial_intelligence.pdf
- https://cdn.shopify.com/s/files/1/0428/1974/7996/files/66026828782.pdf
- https://cdn.shopify.com/s/files/1/0434/9421/1750/files/48569323394.pdf
- https://cdn.shopify.com/s/files/1/0433/9197/5580/files/adobe_reader_11_editor_free_download.pdf
- https://cdn.shopify.com/s/files/1/0432/1778/0896/files/awdhesh_premi_video_2019_mp4.pdf
- https://cdn.shopify.com/s/files/1/0433/2496/5019/files/jawokokara.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000568c.bin87840004722687eb80d13150ba419b7c61b3e886d63a6e79379b707c7a54af6f |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x568C | 4832 bytes |
font_01_sfnt_off000066df.bine22e2ed83d7a22ec8e09c4873c50972940b77a466beda5e4d3534cf1e905452d |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x66DF | 10164 bytes |
font_02_sfnt_off000089a8.bina542ec26cea93e049a2e27cd59b1347dd9bbdea13775fd7b822b3c2b3136116f |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x89A8 | 4324 bytes |
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