MALICIOUS
202
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains multiple embedded links, including one pointing to a known malicious redirector infrastructure at 'ttraff.cc'. This redirector is likely used to obscure the final malicious destination, which is part of a link farm designed to lure users into downloading further malicious content. The ML classifier also strongly flagged this PDF as malicious.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 6
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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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Urgency / deadline lure low SE_URGENCY_LUREDocument contains urgency or deadline language ('account will be terminated', 'action required within 24 hours', etc.) — useful context, but low-signal without other findings
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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.cc/pify?keyword=functional+training+handbook+craig+liebenson+pdf In PDF document text
- http://files.retrieversystemsco.com/uploads/1/3/0/8/130813054/6180382.pdfIn PDF document text
- http://files.kwtintl.com/uploads/1/3/1/3/131379899/xizipuviwagozuvu.pdfIn PDF document text
- http://files.roland-realty.com/uploads/1/3/0/8/130874474/f72a49e479baf.pdfIn PDF document text
- http://files.johnpurcellauthor.com/uploads/1/3/2/8/132814337/kimutexaku-nufajaxuxabibo.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/5387/5357/files/xuzirusukebopub.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/0276/4184/files/lunakuzolofare.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0279/7986/files/rudadapunipaje.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/2936/4889/files/xonexogivubutujuvulefo.pdfIn PDF document text
- https://dibevupajuwu.files.wordpress.com/2020/07/58729731466.pdfIn PDF document text
- https://bakomawobosi439931692.files.wordpress.com/2020/06/nuxuvusuku.pdfIn PDF document text
- https://zavijon.files.wordpress.com/2020/06/4186955896.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/3957/2643/files/21435827868.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/54903558396.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/8070/4405/files/52268029230.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/5147/5351/files/57293260150.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/4578/1665/files/74633983729.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1734/6965/files/xagiko.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/4841/8971/files/wikabetikafusove.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/6255/0940/files/9659430088.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8462/7616/files/28912062584.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_off00006f61.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6F61 | 5456 bytes |
SHA-256: 23aae4411e8242e0fbda26bdfb6645b262937e6daab878bb1c7caa9b87923bcb |
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font_01_sfnt_off000081d8.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x81D8 | 10184 bytes |
SHA-256: 90e025c9955b14727d034a3984847a97ce0a0a097e4ce2f3f3c66a9067e35bdf |
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