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 link to known malicious redirector infrastructure. The embedded URL, 'https://ttraff.me/123?keyword=jennifer+jareau+reid', is the primary indicator of malicious intent, likely leading to a phishing or malware download page. No scripts were extracted, but the presence of a malicious URL in a PDF is a strong indicator of a phishing or social engineering attack.
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=jennifer+jareau+reid In PDF document text
- https://cdn-cms.f-static.net/uploads/4421944/normal_5f9cb4f031c6a.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4375890/normal_5f8d95b353601.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4382965/normal_5f9c07a3ab279.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4413374/normal_5f97f8e01fb24.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4393639/normal_5f9088efd9828.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4447079/normal_5fa0cf8b6c7a0.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/sugowubuf/58195286434.pdfIn PDF document text
- https://s3.amazonaws.com/wujodibu/gamehunters_caesars_slots.pdfIn PDF document text
- https://s3.amazonaws.com/jufowokedunod/44365563350.pdfIn PDF document text
- https://s3.amazonaws.com/vikukinumet/budget_2019-_20_download_pakistan.pdfIn PDF document text
- https://s3.amazonaws.com/ruzaganog/pyar_lafzon_mein_kahan_season_2.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_off000072db.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x72DB | 4756 bytes |
SHA-256: 010a986c16ebefcbddf3e40e7e5198dc5fffb1fec9344188793adb8619533675 |
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font_01_sfnt_off00008320.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8320 | 10264 bytes |
SHA-256: f2bef68da3e09c1fceeda5efe81e00d1ba5ba9c2d1607b50e70ec775fccd6f53 |
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