MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a critical heuristic firing for a malicious redirector link, pointing to 'https://ttraff.com/pify?keyword=3000+academic+word+list+pdf'. This indicates the document's primary purpose is to redirect users to potentially harmful content. The presence of a large number of external PDF links, many hosted on cdn.shopify.com, suggests a link farm or SEO poisoning tactic to improve search engine visibility for malicious content. No scripts were extracted, and the document body was heavily obfuscated, but the malicious redirector is a strong indicator of malicious intent.
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.com/pify?keyword=3000+academic+word+list+pdf In PDF document text
- http://files.asbwellness.com/uploads/1/3/1/3/131384604/jarojij.pdfIn PDF document text
- http://files.petersknifeshop.ch/uploads/1/3/1/4/131454012/cd19e2207c8.pdfIn PDF document text
- http://files.larienca.net/uploads/1/3/1/4/131437725/sanazuri.pdfIn PDF document text
- http://files.thistlewellington.com/uploads/1/3/1/1/131164479/3696480.pdfIn PDF document text
- http://files.bridgesidebooks.com/uploads/1/3/2/3/132302978/6477255.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/1/0440/1129/0782/files/25651113196.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/8551/3379/files/nusugogazarimivanu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6043/6896/files/getubo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/1974/7996/files/50982950074.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/2829/7381/files/2003_honda_accord_service_manual.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3151/8622/files/16006517049.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/0898/1153/files/xapujifavoja.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/1407/9143/files/beginning_anomaly_detection_using_python_based_deep_learning.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/4617/3852/files/samsung_grimace_emoji.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/97897646990.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/4411/9462/files/kefijuxuzuguvu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0151/1068/files/manual_of_structural_kinesiology.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0447/0204/0217/files/anganwadi_teacher_application_form_download.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/1941/9291/files/6821754259.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/4651/0504/files/85849193452.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_off000098be.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x98BE | 5604 bytes |
SHA-256: 14d5140f1fd83152198887586bcbc3330ad02cf26e5a4df988688f612e8dcbcc |
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font_01_sfnt_off0000abbe.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xABBE | 12496 bytes |
SHA-256: 950c6fa50072e58a1ffa01fad2d6eb019a79e57008311c93d9328571d171d456 |
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