MALICIOUS
136
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
The PDF contains heuristics indicating it is a phishing lure, specifically using an image to redirect users to a link that appears to be a free download. The ML classifier and ClamAV detection further support its malicious nature. Although no scripts were extracted, the PDF structure and external URI suggest an attempt to lead the user to a malicious site.
Machine Learning
- Nyx PDF Classifier malicious score 0.8028
Heuristics 5
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ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTIONClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
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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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External URI info PDF_URIPDF contains an external URL action
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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://feedproxy.google.com/~r/sq/ugae/~3/HbdJGeoIq_s/square?utm_term=stress+and+health+disparities PDF link annotation
- https://static1.squarespace.com/static/60bf6bff0d8d387fecc8b153/t/60eda3d00999c4520372cca1/1626186704711/words_that_has_ai_in_the_middle.pdfIn PDF document text
- https://static1.squarespace.com/static/60aac4e0d5abe22cec5c4b22/t/60ec9bc983836e7a7d62e3fb/1626119113982/73364762703.pdfIn PDF document text
- https://static1.squarespace.com/static/60bf69b23f3791685666e32d/t/60ee18c886aa876280b9cbaa/1626216649124/the_office_the_lover_script.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://dejavu.sourceforge.netIn PDF document text
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000c1ce.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xC1CE | 15896 bytes |
SHA-256: b341c3313412335ba20fa0c0620c958d819128b565751e8366887f415b8b5bb2 |
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font_01_sfnt_off0000eab1.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xEAB1 | 16792 bytes |
SHA-256: 9d2294e344127da9ddc2b77d68b1576b6b78373885bc9da2859f180a98f2c1e1 |
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font_02_sfnt_off000102c8.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x102C8 | 10444 bytes |
SHA-256: eb62adbd43b5f0db9803e76bb26091b93caedd0c42332eb02f27659b38e68faa |
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