MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.001 Malicious Link
T1059.001 PowerShell
The PDF contains a mass of external links, including one that redirects to known malicious infrastructure. The document body, though heavily obfuscated, contains text suggesting a lure related to 'McKinsey case study examples pdf'. The primary malicious URL identified is https://ttraff.cc/pify?keyword=mckinsey+case+study+examples+pdf, which is likely used to redirect the user to a further malicious destination. The file was generated by wkhtmltopdf, indicating it's likely a crafted document rather than a standard office file.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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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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Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINKPDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
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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.cc/pify?keyword=mckinsey+case+study+examples+pdf In PDF document text
- http://files.uprisingstarsinc.org/uploads/1/3/1/3/131379045/gowofikur.pdfIn PDF document text
- http://files.consciousdivine.ca/uploads/1/3/1/3/131379759/46e62fb52b7eb.pdfIn PDF document text
- http://files.mcgrewhouse.org/uploads/1/3/0/8/130814856/7f50eae1.pdfIn PDF document text
- http://files.utopiatravelonline.com/uploads/1/3/1/0/131070476/regazegedabezilan.pdfIn PDF document text
- http://files.kylavender.com/uploads/1/3/2/7/132710676/1558531.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/1/0439/7396/8030/files/dafapebanijadobofuravaf.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0079/9140/files/63837793582.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/0677/0843/files/20893310144.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8362/8708/files/54426995021.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/2598/7734/files/40265763368.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8547/1656/files/59540104452.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9628/6111/files/5843942040.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/3966/0954/files/metropolitan_opera_rush_tickets.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/8581/5190/files/xegitopujozafopisoveju.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/86372263330.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9078/8000/files/jijigaguwagojogul.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/6842/2309/files/13974657852.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_off00007d2c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7D2C | 5444 bytes |
SHA-256: 29914515e8d4c8299643cef6afc4e5fae7d2a75a88e16345d677d3948e19743b |
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font_01_sfnt_off00008fc0.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8FC0 | 1800 bytes |
SHA-256: a36eee06fef6ce219692c4ec918276ac99413e4fd1e3666e4031624f9289d620 |
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font_02_sfnt_off0000984d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x984D | 10848 bytes |
SHA-256: 9987674816660bab4af8fe571e9e0c2474996213ea8443f50753902880e08b05 |
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