Malware Insights
The PDF was flagged by a machine learning classifier and contains numerous embedded links, many pointing to external PDFs. One critical heuristic identified a link to known malicious redirector infrastructure at https://ttraff.ru/pify?keyword=reinforcement+learning+sutton+2018. The document body contains garbled text but also includes the same malicious URL and several other URLs hosted on Shopify and other domains, suggesting a link farm or SEO manipulation tactic. The primary intent appears to be directing users to malicious or SEO-abused content.
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=reinforcement+learning+sutton+2018 In PDF document text
- http://wizuxeko.softwareacademy.co.uk/uploads/1/3/0/7/130776078/7386666.pdfIn PDF document text
- http://files.nywomenofpurpose.org/uploads/1/3/2/6/132681558/zopuxulowo.pdfIn PDF document text
- http://tezibu.insurancesolutions4all.com/uploads/1/3/2/7/132741555/aeb1c0a4dfd4.pdfIn PDF document text
- http://zofuzuzal.fudosanbunka.com/uploads/1/3/1/4/131407668/2162230.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://cdn.shopify.com/s/files/1/0434/3506/5510/files/lejividoxarirezigef.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0462/3869/5573/files/mapamundi_con_division_politica_sin.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5838/8392/files/business_plan_proposal_in_ethiopia.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/7076/6750/files/9958444586.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/4121/6917/files/how_to_delete_all_messages_in_discord.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/4490/4855/files/55453372900.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6315/6642/files/4798909947.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/3564/8409/files/97875653207.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/7021/0716/files/manageengine_application_manager_installation_guide.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/6080/3237/files/aetiology_of_hysteria.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/7313/2954/files/35517954343.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_off0000a20a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA20A | 5608 bytes |
SHA-256: 59201149c39d5d6691af8afbfc8090c55cf4ed1ea9b5d10198e05fb38224e0c8 |
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font_01_sfnt_off0000b503.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xB503 | 10348 bytes |
SHA-256: 152cdef611e4374908f9cbd5961d01485a42e8da4a37d9dfb59b1bc90fdd6b65 |
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font_02_sfnt_off0000d846.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xD846 | 4324 bytes |
SHA-256: 7f6049e5011acf0e8581793f2bc2bb947aac2929fdb77abc318b2a6155c1ef71 |
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