MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains multiple embedded links, with a critical heuristic firing for PDF_MALICIOUS_REDIRECTOR_LINK pointing to 'https://ttraff.com/wix?keyword=yuragi+sou+no+yuuna+san+seiyuu'. This indicates an attempt to redirect users to a malicious site, likely for phishing or malware distribution. The presence of numerous other PDF links, flagged by PDF_SEO_LINK_FARM, further supports the malicious intent of this document.
Machine Learning
- Nyx PDF Classifier malicious score 0.9999
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/wix?keyword=yuragi+sou+no+yuuna+san+seiyuu In 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/1/0433/8506/1541/files/naluwujiduke.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9782/6207/files/g_c3_bcnstige_fl_c3_bcge.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/7228/0981/files/97108455353.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9907/8299/files/vajipoz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/4146/3204/files/brilliant_pala_screening_test_sample_papers_for_class_10.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/8072/6168/files/capacitor_bank_calculation.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_821b45cd8966440ba66dbcaf78623e81.pdfIn PDF document text
- https://static.usrfiles.com/ugd/cc14e4_d2d232e9197e4b4e9ed21d0adae73e7a.pdfIn PDF document text
- https://static.usrfiles.com/ugd/80c1db_ac9ea56d4bd34b67b9bdb060398be40f.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_69b21ff665ae4c409e69a998991bc73a.pdfIn PDF document text
- https://static.usrfiles.com/ugd/e3c460_8bf6b212580b497ca1d64ced52a3b626.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_3a6ac33b1af34a1f9dab9e5e29e42d36.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_1681138beec549f89663bdb1f729f914.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_946e224b9e224da3ba33e5d7e7495b8f.pdfIn PDF document text
- https://static.usrfiles.com/ugd/10e3af_d4d75612454740679b2dbe683bd21e46.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_e8388d73db444d69a14b93bc18b36f80.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
- http://dejavu.sourceforge.netIn PDF document text
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
Extracted artifacts 5
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00008b36.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8B36 | 32468 bytes |
SHA-256: 3ad7fa0c9cabcc3ccfa0c9715b83c60f74df9d6857fbaeddaa656a20964d713c |
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font_01_sfnt_off0000f0af.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xF0AF | 4684 bytes |
SHA-256: abcec365646e413d7512e4bd6be08dec3ec9bf15a0d06576f746125590baa757 |
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font_02_sfnt_off000100a3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x100A3 | 14316 bytes |
SHA-256: 05c77b09da7211b726496f1803f716798f4bd23551818bb237d5d97c71c407fe |
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font_03_sfnt_off00012de3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x12DE3 | 16632 bytes |
SHA-256: 7ed423fd6f64a2accaab24a388a557cab9318e50e2ef4475c53ca1e35efe0f17 |
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font_04_sfnt_off000144f4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x144F4 | 4324 bytes |
SHA-256: 9f355172d696dda274cac500966718f112ce76951f19577ac4888987ea6471b2 |
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