MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF file was identified as malicious by a machine learning classifier and contains numerous embedded links. Several heuristics indicate it is part of a link farm and uses a redirector (https://ttraff.cc/pify?keyword=cbr+test+astm+pdf) to obscure the final destination, suggesting a phishing or malware distribution attempt. While no scripts were explicitly extracted, the PDF structure and embedded URLs are indicative 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.cc/pify?keyword=cbr+test+astm+pdf In PDF document text
- http://files.trotr.org/uploads/1/3/0/7/130775982/38484b592de.pdfIn PDF document text
- http://files.centralfloridarowing.com/uploads/1/3/1/4/131437655/debodob-rupuvagarapi.pdfIn PDF document text
- http://files.itsmydayspecialevents.net/uploads/1/3/1/4/131437318/3296374.pdfIn PDF document text
- http://files.robertmeyerlaw.com/uploads/1/3/1/3/131383613/8093979.pdfIn PDF document text
- http://wemilu.takakohasegawa.net/uploads/1/3/1/4/131409090/8375875.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/1/0433/9856/1948/files/brusters_menu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9812/1119/files/printable_english_grammar_exercises_with_answers.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/9340/8409/files/madurujawirusijuzevitexat.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7298/7046/files/jefaxagudek.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/3861/2378/files/46851167818.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/4750/9416/files/pubg_server_status.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/4233/9992/files/ramab.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/9181/2767/files/brain_teaser_interview_questions_answers.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8377/5643/files/python_filter_dictionary.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/1103/0683/files/mutovob.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0158/5570/files/lubeta.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/mipin.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9023/1974/files/66854670227.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/3699/9842/files/alfabeto_em_ingles.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/0143/0695/files/tisaruma.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_off00006b86.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6B86 | 5200 bytes |
SHA-256: 469fd1ad2599ff3a9b7e5afa78ed4450e5e03a7204f13b6a321b9d6cf4b14b33 |
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font_01_sfnt_off00007d0e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7D0E | 9720 bytes |
SHA-256: 04e3a88c774d1cd4042010cba3d4019c63184fa63ddc87c868f427a49837eabf |
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