MALICIOUS
94
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF file was flagged as malicious by an ML classifier and contains a critical heuristic indicating it links to known malicious redirector infrastructure. The embedded URL, 'https://ttraff.me/123?keyword=how+to+count+sigma+and+pi+bonds+in+a+molecule', is the primary indicator of malicious intent. While no scripts were extracted, the presence of this URL strongly suggests a phishing or scam attempt, likely delivered as a spearphishing attachment.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 3
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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.
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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.
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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.me/123?keyword=how+to+count+sigma+and+pi+bonds+in+a+molecule In PDF document text
- https://cdn-cms.f-static.net/uploads/4406820/normal_5f95ffb5b7efe.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4384050/normal_5f9cf0fdd6bf5.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366357/normal_5f8868477c705.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4372376/normal_5f9f749aed0b7.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4417525/normal_5f9931b1239a9.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4384471/normal_5f9f892c0069c.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4417528/normal_5f9854c388eb4.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/muvemasoxaji/37145768914.pdfIn PDF document text
- https://s3.amazonaws.com/jubiferekaka/dirt_bike_trailer_hitch.pdfIn PDF document text
- https://s3.amazonaws.com/wilugugo/vativezefasedebosudujakit.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/93264776-71df-44e4-a348-26143e4c2334/gisosebekanitub.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_off00006cda.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6CDA | 5492 bytes |
SHA-256: dbce8afd8b2338d346b4e7ff2f0fc17f43b842b1b4a526a6ac681169632d7e9d |
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font_01_sfnt_off00007f81.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7F81 | 11568 bytes |
SHA-256: 582698395d1d9e1d3b9531956fb46df2e14ab50b0e9cd73b16bc4a8f8e672694 |
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