MALICIOUS
94
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains a link to a known malicious redirector infrastructure, indicating an attempt to lure the user to a harmful site. The ML classifier also strongly flagged this PDF as malicious. While no scripts were explicitly extracted, the PDF structure itself facilitates the malicious redirection.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 3
-
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.
-
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://gettraff.ru/aws?keyword=social+class+in+the+titanic In PDF document text
- https://cdn-cms.f-static.net/uploads/4403531/normal_5f94aa7fd7677.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4370778/normal_5f8c85dfe5bcf.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365541/normal_5f8968b5c3098.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367013/normal_5f876b0cd09bd.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369149/normal_5f91b2cfbd73b.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4416326/normal_5f9d377170f81.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4392470/normal_5f9913f65ea6d.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/gupuso/47840202236.pdfIn PDF document text
- https://s3.amazonaws.com/nokiva/43933989016.pdfIn PDF document text
- https://s3.amazonaws.com/ratixifo/probability_math_problems.pdfIn PDF document text
- https://s3.amazonaws.com/negonanopix/10876574435.pdfIn PDF document text
- https://s3.amazonaws.com/tazibabebamep/96851633859.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/7a2650bc-a589-48f7-95d7-f29821055073/53257819039.pdfIn PDF document text
- https://s3.amazonaws.com/jiguwuzobozobaz/engineering_descriptive_geometry.pdfIn PDF document text
- https://s3.amazonaws.com/sakaburepagase/edad_moderna_arte.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_off00006df6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6DF6 | 4892 bytes |
SHA-256: e44d4ffe64f641610e3972684c7bf02e064bf6876e4bac1836ec2c3110116ab3 |
|||
font_01_sfnt_off00007e95.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7E95 | 10256 bytes |
SHA-256: 0d6a131d348f37d207123ed2664c85900d97b4441034d18516ec116c346c44ec |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.