MALICIOUS
136
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
-
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.
-
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.
-
External URI info PDF_URIPDF contains an external URL action
-
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://trafftec.ru/aws?keyword=ver+transformers+3+online+latino PDF link annotation
- https://cdn-cms.f-static.net/uploads/4393762/normal_5f8fa10706642.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/bbda1d97-be32-4184-8a35-e604efff4d46/wubamesa.pdfIn PDF document text
- https://s3.amazonaws.com/nokiva/tipelejajigowagalevewe.pdfIn PDF document text
- https://salesaneza.files.wordpress.com/2020/11/maggio_trumpet_method.pdfIn PDF document text
- https://sirilab.files.wordpress.com/2020/11/mujalego.pdfIn PDF document text
- https://s3.amazonaws.com/gedesisumi/70011368699.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/3890e026-697e-468c-870a-0db3c9962dce/50999533688.pdfIn PDF document text
- https://s3.amazonaws.com/mijedusovineti/gazetabaz.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/84c4488a-c911-48f2-b06e-2100470526bd/60866528575.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/7805605c-f1a2-4048-b153-94deec6188d2/r_r_auto_sales_sc.pdfIn PDF document text
- https://manetomimexa.files.wordpress.com/2020/11/68091325827.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_off00005928.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5928 | 5040 bytes |
SHA-256: 01efaae2576abea9dc82c73fa74dd9dede49da7ac2961328de02a553b5ebc2ef |
|||
font_01_sfnt_off00006a3a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6A3A | 10556 bytes |
SHA-256: 8aa9e105c68d3cce0575ac28533c9cec2885206d4c1402df9203a67ed2cc8e99 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.