Malware Insights
The PDF file contains a link that redirects to known malicious infrastructure, identified by the PDF_MALICIOUS_REDIRECTOR_LINK heuristic. Additionally, the document body, though heavily obfuscated, contains text related to an 'authorization letter for bike pdf' and includes the malicious URL. The PDF_SEO_LINK_FARM heuristic indicates a large number of outbound links, suggesting a link farm or SEO poisoning attempt. The SE_CALLBACK_LURE heuristic suggests a social engineering pretext, likely to trick the user into clicking the malicious link.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 6
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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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Callback phishing phone lure medium SE_CALLBACK_LUREDocument asks the user to call a phone number in billing, refund, subscription, fraud, or security context — consistent with callback phishing or tech-support scam patterns. Suppressed for legitimate-issuer (IRS/gov/official-form) or Microsoft license-boilerplate documents that carry no urgency or charge/dispute escalation.
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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=authorization+letter+for+bike+pdf In PDF document text
- http://files.vanitasarts.co.uk/uploads/1/3/2/8/132814147/rimezitipisekumume.pdfIn PDF document text
- http://files.womenforthesupportofagriculture.org/uploads/1/3/0/8/130814515/5760916bc67c.pdfIn PDF document text
- http://files.micheleroldanshaw.com/uploads/1/3/1/4/131454345/movametoj.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/1/0441/3951/1960/files/67057305280.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/2608/7064/files/25999232974.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/1916/6105/files/56863152734.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/1128/2840/files/lijejezigujoxejomuxose.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/webomobituwisumepepaxifi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3237/0590/files/physics_notes_for_neet.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/3863/0300/files/22247736499.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2436/7262/files/54562859781.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/5689/0013/files/55525766755.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/kilezibuvi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/8565/2375/files/37295374829.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/1174/2628/files/61039656602.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/7595/1005/files/aditya_hrudayam_in_telugu_with_meaning.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/9462/0837/files/21613568951.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_off0000863c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x863C | 5196 bytes |
SHA-256: 98a714af12060f64670d1d2b2d12f40d13e5921ae924557d2e84f93d817e3bce |
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font_01_sfnt_off000097e6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x97E6 | 10696 bytes |
SHA-256: 3c75086d34c0487096e40593bcc276a7b50ebdbed05314d49eb5d0a929cc1197 |
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