MALICIOUS
134
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
-
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.
-
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://ttraff.cc/123?keyword=kitchen+witch+altar In PDF document text
- https://cdn-cms.f-static.net/uploads/4385648/normal_5f9414a046635.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365591/normal_5f984de53d572.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365580/normal_5f9f2f85722e4.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4379035/normal_5f8b73b7b3efa.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368479/normal_5f8a2678cfde8.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4391915/normal_5f8e4c4fcfa9c.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/potofaw/xenafenadigutijubovu.pdfIn PDF document text
- https://s3.amazonaws.com/guvovigo/odyssey_reading_guide.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8810/1030/files/retrofit_post_json_android.pdfIn PDF document text
- https://s3.amazonaws.com/leguvefu/kedesilibadebedazaretasow.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_off00006338.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6338 | 4772 bytes |
SHA-256: 86cee049340ba9ad3bab619d1ed28e12a90cc4327c1d1476e253847a98f6f168 |
|||
font_01_sfnt_off00007384.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7384 | 10624 bytes |
SHA-256: c7dedab92aec3d87f7302c8dca5dbcd0739c39e6344d92787e3a0fc86441795b |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.