MALICIOUS
134
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains a link disguised as a literary analysis, which redirects to a known malicious infrastructure. This indicates a phishing attempt, likely delivered as an attachment. The ML classifier strongly supports the malicious verdict.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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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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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.
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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://gettraff.ru/aws?keyword=the+lake+edgar+allan+poe+analysis In PDF document text
- https://cdn-cms.f-static.net/uploads/4480182/normal_5fa8cecdb2e32.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4378164/normal_5f9bdd9096aad.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368763/normal_5f93e64b893fd.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4418973/normal_5f998495515f7.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366632/normal_5f87bb44b16ae.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369631/normal_5f9780a45133f.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365621/normal_5f8758ff4b7c7.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/palikuvexake/15693383935.pdfIn PDF document text
- https://s3.amazonaws.com/vaxebisapesi/armitron_all-sport_wr330_watch_instructions.pdfIn PDF document text
- https://s3.amazonaws.com/zetare/tukasakepupapetujavig.pdfIn PDF document text
- https://s3.amazonaws.com/felasorarabipis/71035961756.pdfIn PDF document text
- https://s3.amazonaws.com/bulikowexunepov/37310279366.pdfIn PDF document text
- https://s3.amazonaws.com/henghuili-files/phn_mm_ct_ghp_file_min_ph.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_off0000660d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x660D | 5336 bytes |
SHA-256: 0ecd2b4e92962cd361f18b860318ec9342eff2aef0f5a26208ee5fa7dc946d1b |
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font_01_sfnt_off00007838.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7838 | 11544 bytes |
SHA-256: 1d4b019c3c59515ac267a17ff28da5709cb076efe1ae114889995bc2660443b9 |
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