MALICIOUS
136
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
The PDF contains heuristics indicating it's a phishing lure, specifically using an image to redirect users to a URL. The ML classifier and ClamAV detection further support its malicious nature. While no scripts were extracted, the PDF structure and embedded URLs strongly suggest a phishing attempt, likely leading to credential theft.
Machine Learning
- Nyx PDF Classifier malicious score 0.6556
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/~3/0YvHz_IItD0/square?utm_term=the+giver+jonas+personality PDF link annotation
- https://static1.squarespace.com/static/60bf6bff0d8d387fecc8b153/t/60e92b72f4fe78435a3b1f51/1625893746654/convert_from_color_to_black_and_white.pdfIn PDF document text
- https://static1.squarespace.com/static/60aac5994c6b1805bc4acbdb/t/60e927b8563c1506a8b668ad/1625892792901/95739010859.pdfIn PDF document text
- https://static1.squarespace.com/static/60aac5994c6b1805bc4acbdb/t/60ecafc7ea0e4f2fd4889ffd/1626124231861/white_outdoor_lt542g_manual.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_off0000d183.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xD183 | 16792 bytes |
SHA-256: 9d2294e344127da9ddc2b77d68b1576b6b78373885bc9da2859f180a98f2c1e1 |
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font_01_sfnt_off0000e99a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xE99A | 10804 bytes |
SHA-256: 6729823ee83056a43bd0445e6acd30dcadee7c18a156b18252907eb45b710eec |
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font_02_sfnt_off00010276.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x10276 | 16276 bytes |
SHA-256: 6d3c35ece61b2b3817c3d6d7e15c56f999aa7a579e2c057857c61a02ab645381 |
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