MALICIOUS
222
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 0.9998
Heuristics 7
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ClamAV: Pdf.Phishing.Trojan-d2528dad23a95d95-d2528dad23a95d95-10044376-0 critical CLAMAV_DETECTIONClamAV detected this file as malware: Pdf.Phishing.Trojan-d2528dad23a95d95-d2528dad23a95d95-10044376-0
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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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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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Callback phishing phone lure medium SE_CALLBACK_LUREDocument asks the user to call a phone number in billing, refund, subscription, fraud, or security context — consistent with callback phishing or tech-support scam patterns. Suppressed for legitimate-issuer (IRS/gov/official-form) or Microsoft license-boilerplate documents that carry no urgency or charge/dispute escalation.
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Fake invoice / payment lure low SE_INVOICE_LUREDocument contains invoice or payment language paired with an action verb — useful context when combined with link, macro, or attachment indicators
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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://yafferge.ru/wix?keyword=caltrans+travel+and+expense+claims+guidelines+for+consultants In PDF document text
- https://static.s123-cdn-static.com/uploads/4382618/normal_5ff88d378b578.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368218/normal_6013865e3aa5b.pdfIn PDF document text
- https://static.s123-cdn-static.com/uploads/4407069/normal_5feafbf4a78cd.pdfIn PDF document text
- http://kipigonatusa.iblogger.org/category_management_procurement.pdfIn PDF document text
- http://tumerasiwabuzip.22web.org/robbery_bob_2_mod_apk_game.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4370063/normal_5fd9ae6ea6e25.pdfIn PDF document text
- https://static.s123-cdn-static.com/uploads/4473384/normal_5fff03833fe9c.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://bekabugi.epizy.com/87692331883.pdfIn PDF document text
- https://s3.amazonaws.com/lixuzo/64892111530.pdfIn PDF document text
- https://s3.amazonaws.com/pevuwarobuvowa/aprendizaje_significativo_minedu.pdfIn PDF document text
- http://goguvero.epizy.com/call_of_duty_mobile_mod_android_1.pdfIn PDF document text
- https://s3.amazonaws.com/gonasidupij/essl_biometric_device_manual.pdfIn PDF document text
- https://s3.amazonaws.com/latufenaw/impossible_quiz_question_32_answer.pdfIn PDF document text
- http://sugekix.rf.gd/sort_column_in_excel_sheet.pdfIn PDF document text
- http://vizebafep.epizy.com/diteru.pdfIn PDF document text
- https://s3.amazonaws.com/zozofufulolig/vibirunat.pdfIn PDF document text
- https://s3.amazonaws.com/jevopemosod/letegapejip.pdfIn PDF document text
- https://s3.amazonaws.com/pevarijidasalop/tevijiduwe.pdfIn PDF document text
- https://s3.amazonaws.com/wiwamoxamo/18843077557.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_off0000db11.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xDB11 | 5508 bytes |
SHA-256: c463b2f33ad15426956afa67a2e2ebe091e89e3bce135280a31d13e9a6ecdca3 |
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font_01_sfnt_off0000edc4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xEDC4 | 10180 bytes |
SHA-256: c2d908f6fd212ceb5faf8a0468e545343022a799aa568e90f28e6aaf63eb12cc |
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