MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains multiple embedded links, with one specifically pointing to a known malicious redirector. The ML classifier strongly indicates maliciousness. The document body, though heavily obfuscated, contains the URL that is also flagged by the PDF_MALICIOUS_REDIRECTOR_LINK heuristic. This suggests the primary goal is to redirect the user to malicious infrastructure.
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/wb?keyword=flip%20teaching%20pdf In PDF document text
- http://files.stewartvillesportsmansclub.com/uploads/1/3/1/4/131453291/1eb6b5.pdfIn PDF document text
- http://files.daksart.com/uploads/1/3/1/4/131438461/jomeru.pdfIn PDF document text
- http://files.upaabc.org/uploads/1/3/0/7/130739678/6541203.pdfIn PDF document text
- http://fimil.congressweek.org/uploads/1/3/1/3/131380480/sanumisupa_selitikaxe_sokexod_vuxikoke.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/1/0431/0820/4708/files/velibiwud.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/9793/0393/files/mann_whitney_u_test_python.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/2452/1128/files/zizajufononazarugeviro.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/3606/5438/files/kefapof.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/6350/0197/files/wafulurutexizako.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/wuvinotagug.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2118/8763/files/metabolic_syndrome_review_article.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9474/6023/files/81780437688.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7455/0949/files/1461320059.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9229/6359/files/janib.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/7197/7110/files/san_jose_state_campus_map.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/1100/4821/files/76382153601.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_off0000bfe6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xBFE6 | 5100 bytes |
SHA-256: 46312ddd1097bfa671ae5d185ef884050985c1b7bcd2d02c40eeb31b123b37ea |
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font_01_sfnt_off0000d138.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xD138 | 10628 bytes |
SHA-256: 2652a7fe393c7547fac9dd58f8a97c1f0fefe1befe191446a4ea3eada1e0f9eb |
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