Malware Insights
The PDF was flagged as malicious by a machine learning classifier and contains numerous embedded links. One critical heuristic identified links to known malicious redirector infrastructure, specifically 'https://ttraff.ru/pify?keyword=the+economist+2020+pdf+download'. Another critical heuristic indicated a PDF link farm, with many links pointing to Shopify domains, suggesting an attempt to distribute malicious content through a large number of URLs. The presence of these links and the ML classification strongly suggest a phishing or malware distribution attempt.
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=the+economist+2020+pdf+download In PDF document text
- http://wawir.theperfectpairdolphintrilogy.com/uploads/1/3/0/8/130874493/mineder_vosapanujo_tanuweso_rogux.pdfIn PDF document text
- http://files.crossfitrochester.com/uploads/1/3/0/8/130814611/ccad86.pdfIn PDF document text
- http://files.sorrentoreview.com/uploads/1/3/1/4/131483445/f9e203189ed57d.pdfIn PDF document text
- http://lamutiwis.bringedlife.com/uploads/1/3/2/6/132695569/fibovavar.pdfIn PDF document text
- http://files.outreachchemistrycloud.com/uploads/1/3/0/9/130969573/lusivutabanuruwosi.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/1/0428/6509/8908/files/94932243042.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0537/7688/files/23931406736.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6410/6908/files/gerejo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/2563/6250/files/carnegie_learning_geometry_textbook.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/3110/9538/files/25818335822.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/2574/4547/files/91556870106.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/1094/0328/files/complete_divine_3._5.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/4669/9165/files/equivalent_fractions_worksheets_grade_5.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/7754/9726/files/91058567276.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/4785/5004/files/bukofuv.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/7342/8888/files/togew.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/7179/0486/files/zelovadowenovu.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_off0000470d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x470D | 5616 bytes |
SHA-256: 0751e505d18a045f48712d629737a29d1194a84061c170692ad0d727ac054844 |
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font_01_sfnt_off00005a17.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5A17 | 8828 bytes |
SHA-256: 365beacbcb07512c22a284cb1ecb8a7acd5d0d7ead0defdc266b8161f4f50b3b |
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