MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains numerous links, including one pointing to a known malicious redirector, suggesting a phishing or malware distribution attempt. The document body, though heavily obfuscated, contains text related to a game guide and the malicious redirector URL, reinforcing the lure. The ML classifier strongly indicated maliciousness, and the presence of a link farm further supports a malicious intent to drive traffic to potentially harmful sites.
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.cc/pify?keyword=osrs+fossil+island+wyverns+guide In PDF document text
- http://zuxefo.jamieroeske.com/uploads/1/3/0/7/130739289/gorefez.pdfIn PDF document text
- http://files.bentnotbrokenscoliosis.com/uploads/1/3/2/6/132681885/2425351.pdfIn PDF document text
- http://wevova.swisswildlifeartist.com/uploads/1/3/2/6/132696212/loteziba-mujukagage-bidowobidebufu.pdfIn PDF document text
- http://belaw.healthexinternational.org/uploads/1/3/1/3/131398003/36ccfb.pdfIn PDF document text
- http://guxif.pegsandsplines.com/uploads/1/3/2/7/132712593/3771845.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/1/0428/0595/2671/files/29318321699.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8379/2545/files/dell_latitude_e6440_manual.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3951/4006/files/too_much_dick.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/9823/5289/files/conversions_worksheet_year_6.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/resozelofik.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/8424/3351/files/54335320232.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7691/0242/files/categorical_data_examples.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/6696/3621/files/9758390436.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8691/3437/files/zifatapanelapupezefugu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2187/6899/files/microsoft_office_2019_for_mac.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
- http://dejavu.sourceforge.netIn PDF document text
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000878e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x878E | 5356 bytes |
SHA-256: 47d62d92fe2e64dd4d0acf7e049eb7508acf90bb42f4455478e7f84be1aa1b18 |
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font_01_sfnt_off000099eb.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x99EB | 10948 bytes |
SHA-256: 77cddc0909c599875951568e803139d7e41af91e427afa9f65d895e93557f7b6 |
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font_02_sfnt_off0000bf59.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xBF59 | 16088 bytes |
SHA-256: a1804fab7033f1d251fb29e732c1b9641fb316f4dad76a6f11c561d626689051 |
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