MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains numerous links designed to appear as legitimate resources but redirect to malicious infrastructure, specifically a known redirector at ttraff.cc. The document body and embedded links suggest a tactic of creating a link farm of SEO-optimized PDFs to lure unsuspecting users. The ML classifier strongly indicates maliciousness, supporting the conclusion that this is 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.cc/wb?keyword=sources%20of%20funding%20for%20ngos%20pdf In PDF document text
- http://files.patrickhanks.com/uploads/1/3/2/3/132303316/d4ba483.pdfIn PDF document text
- http://files.rkrally.com/uploads/1/3/1/8/131856539/1414960.pdfIn PDF document text
- http://files.writeforyou.me/uploads/1/3/2/6/132682040/85cd29df77836.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/1/0433/8617/5651/files/58215824857.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/5759/4011/files/32795914697.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/5049/9222/files/39076974844.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7783/6702/files/bujomupiwizer.pdfIn PDF document text
- https://kururokefali.files.wordpress.com/2020/07/21087326125.pdfIn PDF document text
- https://boxuxabu.files.wordpress.com/2020/06/37641946501.pdfIn PDF document text
- https://tokatoxosi.files.wordpress.com/2020/06/87048473563.pdfIn PDF document text
- https://kufakim.files.wordpress.com/2020/06/tuxabonaramolaronoworulef.pdfIn PDF document text
- https://jezovuri.files.wordpress.com/2020/06/relajowavogejaku.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/8260/3927/files/guzewasumonufemijuxadiz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/7372/3800/files/65878633561.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2829/9427/files/pomejapatoga.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/2476/1507/files/535035237.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/0628/0355/files/37491926574.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/6749/7880/files/gosoroxosatop.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1806/7876/files/144242199.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8615/1833/files/65556764403.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_off0000a766.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA766 | 4984 bytes |
SHA-256: 94c37aa9f1ca5d68833ed15c23c8fd6cc43ebae3cfd25b95290385c1f1813301 |
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font_01_sfnt_off0000b858.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xB858 | 10276 bytes |
SHA-256: 51ccffb4c56cc57d6c838058c6de86e859761fbd5d20a88ab5f445f28a89883b |
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