MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF file contains a heuristic firing for a malicious redirector link pointing to 'ttraff.com'. Additionally, it exhibits characteristics of a PDF link farm, with numerous embedded links, many hosted on Shopify. The document body, though heavily obfuscated, contains the malicious URL and references to other PDF files, suggesting a lure to external content. The primary intent appears to be redirecting the user to a malicious site via the 'ttraff.com' URL.
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.com/pify?keyword=instagram+outline+template In PDF document text
- http://refof.kamahelewineco.com/uploads/1/3/1/8/131857334/zevodexur.pdfIn PDF document text
- http://files.arthurleewilliamsii736.com/uploads/1/3/0/7/130775979/tusisezive-kenebab-vodofemukonizin-bisixubuxosix.pdfIn PDF document text
- http://files.ableequips.com/uploads/1/3/1/3/131383949/8788427.pdfIn PDF document text
- http://files.papayasplace.com/uploads/1/3/0/7/130775071/karejipejatexi_pigepuvuk.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/1/0437/7768/7706/files/anydesk_free_for_windows_8._1.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/7877/9029/files/96599547294.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/8535/7463/files/vozasugamirelu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/5272/0543/files/tofitunetaruvej.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6980/8548/files/pejafefepinetajufage.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/nisexabidubukov.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/0128/2711/files/tixogigetaxufubef.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/9231/1206/files/zomomalugikasukenifezam.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6627/7531/files/93895093549.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0450/4194/2678/files/what_do_horses_eat_minecraft.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_off00007d30.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7D30 | 5076 bytes |
SHA-256: eaab17943b3effa0d37e535939d969d7de74f0ffcb1fbf509677c8af639088cb |
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font_01_sfnt_off00008e54.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8E54 | 10292 bytes |
SHA-256: 23cc1a16023209996cba9c4c73112980461090e230eb231ecdec289c213c0da0 |
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