MALICIOUS
196
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF file contains numerous external links, many of which point to SEO redirectors and potentially malicious domains. The 'PDF_SEO_LINK_FARM' heuristic indicates a large number of external links, suggesting an attempt to create a link farm for SEO manipulation or to distribute malware. The presence of a ClamAV detection and ML classification further supports its malicious nature. No scripts were extracted, but the document's structure and embedded URLs strongly suggest a phishing or malware distribution attempt.
Machine Learning
- Nyx PDF Classifier malicious score 0.9997
Heuristics 6
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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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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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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://traffset.ru/aws?utm_term=esmo+guidelines+head+and+neck+cancer PDF link annotation
- https://finazodaxuvoj.weebly.com/uploads/1/3/2/6/132682535/0ac65f19349dc76.pdfIn PDF document text
- https://nixovutak.weebly.com/uploads/1/3/1/4/131406963/0dff54637a6f.pdfIn PDF document text
- https://sazunanul.weebly.com/uploads/1/3/4/4/134488017/rofomiwupifav-zubud.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/lemefofutomapox/boss_movie_video_song_in_hd.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/bf029652-54f4-4ec7-a7ca-928e879a8fc6/caps_lock_minimizes_overwatch.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/248f182c-2bac-4b77-9b50-518629c384dc/prop_examen_college_kahuta.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/e210dd05-2da1-4ef4-b0da-c09093198e83/pulafatizesuz.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/06212f2f-e6c3-45c4-adab-fe685526e566/graphing_practice_honors_biology_answers.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/dfabbcab-3714-4316-83d4-7c3bf7ad2da7/90520886080.pdfIn PDF document text
- https://s3.amazonaws.com/mejifavo/benenden_health_cash_plan_claim_form.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/bf2bc703-cb87-495b-a054-18e796aebe31/nordic_lodge_rhode_island_reviews.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/96513782-9b64-4809-a2c3-4c2a1144a2ff/cer_verbs_french.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_off0000dcf5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xDCF5 | 5376 bytes |
SHA-256: 1fd3b31e98c8e120b8d5f72aaa98da33081bb7098a9a13f116736d5efc3b2e72 |
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font_01_sfnt_off0000ef0d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xEF0D | 10976 bytes |
SHA-256: 7f6e5e249be0c05091728fc55763a8d15b1f4b2141d721f88e5e9e198499ae5e |
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