MALICIOUS
154
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains multiple embedded URLs, with a critical heuristic identifying a link to known malicious redirector infrastructure. The document body, though heavily obfuscated, contains text that appears to be a lure related to 'Night at the museum' and includes the malicious URL. The ML classifier strongly indicates maliciousness, supporting the attack pattern of luring users to a malicious site.
Machine Learning
- Nyx PDF Classifier malicious score 0.9999
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.
-
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.
-
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/123?keyword=night+at+the+museum+script In PDF document text
- https://cdn-cms.f-static.net/uploads/4414335/normal_5f9c9730a5df5.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4370785/normal_5f909ea2202ef.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4380382/normal_5f8f63f763bd0.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4385850/normal_5f8f53fb9b472.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/libosokune/47720111057.pdfIn PDF document text
- https://s3.amazonaws.com/timafatafej/rasini.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/3598b53e-8c89-4a6c-8dc5-e595be5f51d5/python_sort_files_by_name.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/9635/7530/files/nubekokite.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_off00006402.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6402 | 5284 bytes |
SHA-256: 631ed94b5b4f2282ea20ce03ce22e2dcee8f56069f0744170593b811425b9ecf |
|||
font_01_sfnt_off000075df.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x75DF | 10380 bytes |
SHA-256: edaebd35dd01ab6fca6059862b87bd2b8a1eb3e22d23e211996bcfbd7dde8523 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.