MALICIOUS
254
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 7
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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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Password-protected archive handoff high SE_PASSWORD_ARCHIVE_LUREDocument gives password instructions for an archive or attachment — often used to keep payloads encrypted until after gateway scanning
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Macro/content-enable lure medium SE_ENABLE_LUREDocument instructs the user to enable macros or editing — a common technique used by malware droppers to bypass Office macro security settings
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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://ggtraff.ru/aws?keyword=acrobat+reader+protect+pdf In PDF document text
- https://sopulekazixov.weebly.com/uploads/1/3/0/7/130776801/xarixepipujuno.pdfIn PDF document text
- https://jokonufukitis.weebly.com/uploads/1/3/4/3/134399540/0b726a58a7a.pdfIn PDF document text
- https://zevigetadafuwun.weebly.com/uploads/1/3/0/9/130969942/d1fef4448b24de.pdfIn PDF document text
- https://misutinulil.weebly.com/uploads/1/3/1/4/131407711/famoxurazavew-bawozi.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://uploads.strikinglycdn.com/files/d16d6708-cd2c-4c96-91be-d5294d134516/xovurezenov.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/bf2255f5-d716-4c31-b282-dcbe9b7aa79e/diwuvetalurinewokageka.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/31de02a2-9b83-40d1-ba83-776522fe6fb0/rexidimunukutugelajobavir.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/3920f711-3183-41c8-a36e-bd1ca63c837d/jamewurojibajutizug.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/319aa4d0-878c-49b2-b014-6af2d3d8394a/3686892041.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/f89d7bd3-0e95-49d4-a469-ad1a8d83645d/56752348759.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/b338fb50-d43c-4861-94fc-bcf78ca55d6d/lededug.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/775ab3ff-bb5e-46f3-838d-211a01a3437a/berusojaf.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/8922/3066/files/43555517188.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/5407/8871/files/43360583277.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0483/7412/0597/files/1479438428.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0483/8670/3512/files/48980531555.pdfIn PDF document text
- https://s3.amazonaws.com/mijedusovineti/ximonenap.pdfIn PDF document text
- https://s3.amazonaws.com/tetenifeme/banaf.pdfIn PDF document text
- https://s3.amazonaws.com/henghuili-files2/30588249693.pdfIn PDF document text
- https://s3.amazonaws.com/lanorolowu/witiwab.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0504/4410/7950/files/37747477644.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0483/4207/3507/files/lucario_wallpaper_samsung.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_off00006c4d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6C4D | 5068 bytes |
SHA-256: c2cc43648b17415eb71f0d33ca6063fb18dbfc346e3a3d51df73599c9ac3217d |
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font_01_sfnt_off00007d8c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7D8C | 9960 bytes |
SHA-256: 4a692c22a045e6c3122e4a8dd10a209dc08c12ebeca253ecdbe97238b9d4d65b |
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