MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a large number of embedded links, many pointing to external PDF files, which is indicative of a link farm or SEO poisoning tactic. One of the primary links, 'https://ttraff.cc/pify?keyword=livre+montessori+pdf', is identified as a malicious redirector. The document body, though heavily obfuscated, contains this URL and other benign-looking Shopify URLs, suggesting a lure to download content. The ML classifier strongly flagged this PDF as malicious.
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=livre+montessori+pdf In PDF document text
- http://kutok.theyeyechampionshipleagues.com/uploads/1/3/1/4/131406082/nemimar_wifew.pdfIn PDF document text
- http://files.moskoslawfirm.com/uploads/1/3/1/4/131452842/vunibexidemoxi.pdfIn PDF document text
- http://files.kimwattspsychic.com/uploads/1/3/0/7/130776255/af6184.pdfIn PDF document text
- http://kegoni.imanassociates.org/uploads/1/3/0/9/130969060/898246.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://cdn.shopify.com/s/files/1/0431/9150/0961/files/bahubali_2_all_songs_pagalworld.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0459/9942/3647/files/17139596807.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9812/1119/files/aws_codedeploy_cloudformation_template.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/8991/2218/files/lippincott_nclex.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0465/4222/5566/files/best_stock_android_tablet_2019.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/9272/8226/files/5th_grade_math_mixed_review_worksheets.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/6875/0998/files/84026995695.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7245/3797/files/lixitemub.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/8457/0019/files/biomedical_waste_management_in_hospitals.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/2946/2165/files/4558800488.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/1619/9066/files/biostatistics_and_epidemiology.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/9472/7074/files/82313809804.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2607/1199/files/battlefield_4_xbox_one.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/7386/3842/files/stormie_omartian_libros.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00004ae3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x4AE3 | 4732 bytes |
SHA-256: 32b2ed404b3ad8bf88444bed8b03dbbfcbcb2f1bfc24be834c809b03f13d6181 |
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font_01_sfnt_off00005ae0.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5AE0 | 10496 bytes |
SHA-256: b539c430b179094d1dcaf2c818209fc6226eb913be22915359650f4a68e5eb91 |
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font_02_sfnt_off00007e02.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7E02 | 4324 bytes |
SHA-256: 9f355172d696dda274cac500966718f112ce76951f19577ac4888987ea6471b2 |
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