MALICIOUS
154
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains a large number of embedded links, with one identified as a malicious redirector. The ML classifier strongly flagged this PDF as malicious. The presence of numerous links suggests an attempt to drive traffic to malicious sites, potentially for phishing or SEO spam, aligning with spearphishing attachment tactics.
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://ggtraff.ru/strik?keyword=clinical+anesthesia+morgan+pdf In PDF document text
- https://site-1037218.mozfiles.com/files/1037218/78125558633.pdfIn PDF document text
- https://site-1036686.mozfiles.com/files/1036686/21361671040.pdfIn PDF document text
- https://site-1036750.mozfiles.com/files/1036750/83721854924.pdfIn PDF document text
- https://site-1037864.mozfiles.com/files/1037864/15733502416.pdfIn PDF document text
- http://files.jenniferroseheath.com/uploads/1/3/0/7/130775822/moxopivobibuno-zulusa.pdfIn PDF document text
- http://files.findingancestorsmadeeasy.com/uploads/1/3/0/9/130969834/tupijemokamigi-dogagojujoniza-patitiwakudevu-wigebule.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/7583/5806/files/nivuxafixasijedaketozi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/7509/3159/files/spatial_analysis_methods_of_road_traffic_collisions.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/0794/0520/files/adobe_acrobat_dc_trial_version_free.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_off00004a48.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x4A48 | 5476 bytes |
SHA-256: 0cb84212db6b1e2e816fca6de430c03679f7525de125064495f85c040ac5f1b5 |
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font_01_sfnt_off00005cb5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5CB5 | 9612 bytes |
SHA-256: f962cc80e5bb73bf055951de6212e0e77b5133f6fa64088fb906d4f69637afcb |
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