MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF file contains a large number of embedded links, many of which point to external PDF documents, characteristic of a link farm. One of these links, 'https://ttraff.me/wix?keyword=hollywood+reporter+best+film+schools', is identified as a malicious redirector. The ML classifier also flagged this PDF with high confidence. The presence of a malicious redirector suggests an attempt to lure the user to a harmful site, likely for phishing or malware delivery.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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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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Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARMSmall PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
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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://ttraff.me/wix?keyword=hollywood+reporter+best+film+schools In PDF document text
- http://files.lifeword.nl/uploads/1/3/1/4/131408117/d394ee73a78e.pdfIn PDF document text
- http://betiv.vaalrivercitymarathon.com/uploads/1/3/0/7/130776433/beser-gexurob-soniva.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://static.usrfiles.com/ugd/32777b_14015992fb7b40cca32e572b74972c5c.pdfIn PDF document text
- https://static.usrfiles.com/ugd/a72fa8_41bc59a361474f9983c8de5ec81465f0.pdfIn PDF document text
- https://static.usrfiles.com/ugd/4bdc6d_8b2f086f495449e2a3db1a6721c2581c.pdfIn PDF document text
- https://static.usrfiles.com/ugd/bf650e_01be0da26d0c4715bf936791d23ac7c2.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/3916/9429/files/30856405275.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/7663/9127/files/80064826248.pdfIn PDF document text
- https://static.usrfiles.com/ugd/a2d007_8d211f3e4b2f41beb9c092f251c7a507.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_ddbbd5f0e68a4e4d8a973a8d228d58dd.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_off0000720c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x720C | 5480 bytes |
SHA-256: a91d6e9d735cdf57480dc1da4edf6b65318e783f4cc6b3ecf41f85ef5eec00ba |
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font_01_sfnt_off00008498.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8498 | 10408 bytes |
SHA-256: ae7116b247af1182777ca096aaa65e136fdf90c8e49ebf24044aec904edd455f |
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