MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
This PDF document contains numerous links, many of which point to a redirector service (ttraff.cc) that is known to host malicious content. The document body and embedded links suggest a phishing lure, attempting to trick users into downloading further malicious content under the guise of "3d printing guidelines pdf". The ML classifier strongly supports the malicious verdict.
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=3d+printing+guidelines+pdf In PDF document text
- http://files.smosparish.com/uploads/1/3/1/3/131383325/5c332299.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/1/0435/7446/0579/files/gefisaxewopexedino.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/9744/6816/files/nonelox.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/5115/5618/files/82986596180.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/39646295774.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/9883/2037/files/95493787026.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/3887/4532/files/moonwalking_with_einstein_free.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9291/1007/files/23936574639.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/1905/7822/files/worerapujudog.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6128/8868/files/cassava_farming_and_processing_business_plan_in_nigeria.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/8339/1395/files/5562648964.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_off0000637f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x637F | 5068 bytes |
SHA-256: 2143108741581688511340106cdc479abaa8c3c9539b88d5e44b0c35effea421 |
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font_01_sfnt_off000074ce.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x74CE | 10400 bytes |
SHA-256: 90493f25d5fcd8acb0bb7c923f7d1452d4b8c3de501bcbd3a204871f71e51405 |
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