Malware Insights
The PDF contains a large number of embedded links, many of which point to external PDF files hosted on various domains. One critical heuristic identified a link to a known malicious redirector infrastructure at 'https://ttraff.ru/pify?keyword=american+heart+association+acls+algorithms+2016+pdf'. The document body also contains this URL and other embedded links, suggesting a link farm or SEO poisoning tactic to drive traffic to malicious sites. The primary intent appears to be directing users to potentially harmful content through a deceptive lure.
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=american+heart+association+acls+algorithms+2016+pdf In PDF document text
- http://files.kmccreations.com.au/uploads/1/3/1/4/131454670/592959.pdfIn PDF document text
- http://files.maeveleslie.com/uploads/1/3/2/8/132815008/vibogegowuna.pdfIn PDF document text
- http://files.vezscapes.co.uk/uploads/1/3/1/8/131857791/57064cab851edb7.pdfIn PDF document text
- http://files.foundersworkshophr.com/uploads/1/3/0/8/130874018/ee5619bb8ac8.pdfIn PDF document text
- http://files.xebex.eu/uploads/1/3/1/4/131483279/jajoju.pdfIn PDF document text
- http://files.stephenprobbins.com/uploads/1/3/1/4/131483293/6928767.pdfIn PDF document text
- http://files.ems6b.com/uploads/1/3/2/7/132740880/9865283.pdfIn PDF document text
- http://files.giardinodinfanzia.net/uploads/1/3/1/4/131406835/kazajaxavewomoro.pdfIn PDF document text
- http://files.staiguefortcottage.com/uploads/1/3/0/7/130739850/vozijukukosaripa.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://gufexabesura.files.wordpress.com/2020/06/64120060040.pdfIn PDF document text
- https://gelisobutori.files.wordpress.com/2020/07/15235910672.pdfIn PDF document text
- https://lexokafoje.files.wordpress.com/2020/06/xozebisafarafinukire.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/5109/0077/files/57466121639.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9029/7507/files/tusojupinugu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/53551688275.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/norojakibi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9160/7190/files/77370732753.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/7311/9143/files/lexidux.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/3785448733.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_off00005d09.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5D09 | 5824 bytes |
SHA-256: 9aa50d5a92cffca3463c7df393e4d08df280a4be500c85af9623949f8d28c3bd |
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font_01_sfnt_off000070a6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x70A6 | 11136 bytes |
SHA-256: 51aced3f001ed258b795b82652b0857b8460b1de53fa9210ef7e6cf5cf1ba927 |
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