MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF file was identified as malicious by a machine learning classifier and contains numerous embedded URLs. One of these URLs, 'https://ttraff.ru/wb?keyword=english%20marathi%20oxford%20dictionary%20pdf', is flagged as a known malicious redirector. The document also exhibits characteristics of a PDF link farm, with 30 external PDF links, many pointing to Shopify domains, suggesting an attempt to manipulate SEO or distribute content through a large number of seemingly legitimate but controlled links. No scripts were extracted from this sample.
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/wb?keyword=english%20marathi%20oxford%20dictionary%20pdf In PDF document text
- http://files.wkuprecollegepiano.com/uploads/1/3/0/8/130813528/munelavupaf.pdfIn PDF document text
- http://files.twistedpantry.com/uploads/1/3/1/8/131872269/fakavasa.pdfIn PDF document text
- http://files.irminenschaft.org/uploads/1/3/0/8/130814258/dimizatizasuxu-bipofosa-zimadul.pdfIn PDF document text
- http://files.staceydrago.com/uploads/1/3/1/8/131871951/190565.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://fedorahosted.org/lohitIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/3967/6821/files/difference_between_budgetary_control_and_standard_costing.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/3897/2831/files/38653997032.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/9825/8073/files/onan_generator_manual.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7274/8709/files/itunes_says_my_billing_information_is_wrong.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/3165/7621/files/tiginoloxozu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7478/0312/files/98064481983.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/9113/1557/files/54907461372.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/87463685859.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5725/8402/files/46429551871.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0298/5626/files/56444679708.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0455/7858/4229/files/invitation_templates_for_sport_event.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8684/7905/files/zivenasugizewufevi.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_off000053bc.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x53BC | 5696 bytes |
SHA-256: 2f6bf5a5a54e72a0a17fa6eaa67eed983b6dd9c7149ece45cdc839beaca69475 |
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font_01_sfnt_off000066f6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x66F6 | 9832 bytes |
SHA-256: cf885e6d0d70d41ce58c11bd65e132f527ce0cd03431142cebd5137354436c1e |
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font_02_sfnt_off000088d1.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x88D1 | 3252 bytes |
SHA-256: 4b40f117a074286f5d74a1d6a7bd7b036d46460c5a63aaa3d9dabf8b19ea629d |
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