MALICIOUS
136
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 0.9997
Heuristics 5
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ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTIONClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
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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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External URI info PDF_URIPDF contains an external URL action
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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://jottigo.ru/wb?keyword=good%20night%20love%20kiss%20images PDF link annotation
- http://lnstagramverifiedsbadgeform.com/present_simple_present_continuous_worksheet_isld6e70.pdfIn PDF document text
- http://static-get.top/colorear_lol666o4.pdfIn PDF document text
- http://wigigokewadusad.iblogger.org/zodalodonatikosasapa.pdfIn PDF document text
- http://mosasekoz.22web.org/n_c_l_p_full_form.pdfIn PDF document text
- http://jodopafipunew.22web.org/watuletet.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://s3.amazonaws.com/sefipa/80173277155.pdfIn PDF document text
- http://vomifavub.epizy.com/call_of_duty_heroes_android_apk_data.pdfIn PDF document text
- https://s3.amazonaws.com/ponivotigegepub/spotify_premium_terbaru_mod.pdfIn PDF document text
- http://lununobasafino.rf.gd/kenixafetugo.pdfIn PDF document text
- https://s3.amazonaws.com/sojebelevenex/zabijazoxapaxokinur.pdfIn PDF document text
- https://s3.amazonaws.com/xotomisen/utorrent_web_speed.pdfIn PDF document text
- https://s3.amazonaws.com/lezopobigeza/tinaguguf.pdfIn PDF document text
- https://s3.amazonaws.com/xumakomowi/50302470697.pdfIn PDF document text
- http://fivamoxopel.epizy.com/fire_emblem_awakening_guide.pdfIn PDF document text
- http://dofiruser.epizy.com/what_is_ethnography_in_qualitative_research.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_off0000e2cc.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xE2CC | 5296 bytes |
SHA-256: fd766c28743619187d334d24f0ff8251e8a98da83e050f22f71afc12e031c5a0 |
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font_01_sfnt_off0000f4b8.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xF4B8 | 10784 bytes |
SHA-256: 331d9263546f64cab09ee1d5ae33428b6ae008bd33aab71e9108c5df3787f246 |
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