MALICIOUS
162
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 6
-
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.
-
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.
-
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.
-
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
-
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.
-
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://traffking.ru/123?keyword=langrisser+modded+apk+android In PDF document text
- https://zaxanedipujez.weebly.com/uploads/1/3/4/5/134582154/zaraxugemi.pdfIn PDF document text
- https://povutepumik.weebly.com/uploads/1/3/2/7/132741486/a3ed947.pdfIn PDF document text
- https://jakedekokobara.weebly.com/uploads/1/3/1/3/131381480/zanadutut_wexudafenatogun_jetomefoja.pdfIn PDF document text
- https://rajerese.weebly.com/uploads/1/3/4/3/134387708/7003972.pdfIn PDF document text
- https://jamisovuropasag.weebly.com/uploads/1/3/4/3/134396730/28ea9eded6fd2.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/1c56ec2d-92b1-4332-a3cd-cd4ffc4f4a22/mr_altman_geometry.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/d69ef068-f311-4a3c-b7c6-0af6138e32f1/matunalowufomupatuj.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/57c8d5e9-b6fc-45f2-b789-cd4218ce3c6f/download_full_movies_2018.pdfIn PDF document text
- https://s3.amazonaws.com/bededuxotulapil/glucemia_valores_normales.pdfIn PDF document text
- https://s3.amazonaws.com/lekizopiloref/26439331100.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/3ac37721-9dcf-4c74-a239-f7968b801821/que_es_situacion_comunicativa.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/52a04f23-3e3f-429f-bd0d-7f4568df0f62/zadinipifel.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/5cd773b4-5bed-45e9-bcb6-5c26f6849150/pamusuvunukekif.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/5ba40edd-d321-4dd6-8b57-dd3087a8daad/80116546203.pdfIn PDF document text
- https://s3.amazonaws.com/tosevud/bell_hooks_belonging.pdfIn PDF document text
- https://s3.amazonaws.com/fajonubinomeder/luninizufareka.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_off00007471.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7471 | 5252 bytes |
SHA-256: 01b3a2280307a8e17bc01ced843f1c5b88872775ec059368daaaf0f1aefbe3ea |
|||
font_01_sfnt_off00008640.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8640 | 10980 bytes |
SHA-256: 8ffdad7d6f761968ab7741cf5676f6de03d1e3d9adbfe2341d3977e678057d35 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.