MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF file contains embedded links that redirect to a known malicious domain, masquerading as a study guide. The ML classifier strongly indicates maliciousness, and the heuristics confirm the presence of malicious redirector links and a link farm designed for SEO manipulation. Although no scripts were explicitly extracted, the PDF structure and embedded URLs suggest an attempt to redirect the user to a malicious site for further exploitation.
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.ru/pify?keyword=accounting+101+study+guide+pdf In PDF document text
- http://files.getitwright.com/uploads/1/3/0/7/130776788/pufim-fafopunatobi.pdfIn PDF document text
- http://files.darkstarent.com/uploads/1/3/0/7/130738914/1209636.pdfIn PDF document text
- http://files.dearfriendfrank.com/uploads/1/3/1/4/131437949/7d5ba2dc5153f.pdfIn PDF document text
- http://kafimis.rabbipauljacobson.com/uploads/1/3/0/7/130776407/jidida.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/1/0428/0736/1703/files/40230909084.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/7182/3262/files/tinkers_construct_2_materials.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/6844/9180/files/52298812620.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9072/2469/files/29855258191.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/7417/4624/files/jodi_picoult_handle_with_care.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0029/8648/files/labikuma.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/3173/2132/files/99424231211.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6418/0390/files/19582272980.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/2900/3416/files/20422359951.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/0272/4506/files/march_book_one_summary.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/6079/6318/files/california_living_will.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/7240/5157/files/89810682076.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_off00006de0.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6DE0 | 5268 bytes |
SHA-256: 053258db0920aabd4929e6033ece4fd4b663363eafb2c0bf7dd84019f5450c07 |
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font_01_sfnt_off00008001.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8001 | 10208 bytes |
SHA-256: b6d2c0a38fbb4d3af5e46670edc28474576ae993379f05f91d53f9a1f3d657f5 |
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