MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains numerous embedded links, with a critical heuristic firing indicating a link to known malicious redirector infrastructure. The primary malicious URL identified is `https://ttraff.cc/wb?keyword=bible%20kurdish%20pdf`. The document body, though heavily obfuscated, contains this URL and other links, suggesting a lure to external content. The ML classifier strongly supports the malicious nature of this PDF.
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.cc/wb?keyword=bible%20kurdish%20pdf In PDF document text
- http://files.smalltownpopup.com/uploads/1/3/0/7/130739274/f428bf54.pdfIn PDF document text
- http://files.projectdental.org/uploads/1/3/1/3/131379724/faxupewafato_sevimitajus_gomipivari_sabekoboxurevur.pdfIn PDF document text
- http://kadupijev.northernstarbounders.com/uploads/1/3/0/8/130813821/dipekelezar.pdfIn PDF document text
- http://files.stohrdesign.com/uploads/1/3/2/8/132814972/4595521.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/1/0432/3088/8094/files/73713884322.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5768/4375/files/tufibes.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/7732/7265/files/minecraft_creative_servers.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/7955/7535/files/yesterday_andhra_jyothi_news_paper.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/32506959796.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/1581/3795/files/read_the_walking_dead_comic_online.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/9861/0589/files/10238384598.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/4739/4199/files/da_7222_1.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/2492/5347/files/29340310760.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/5609/5644/files/1678219153.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0450/3424/2198/files/sowodewuvotur.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
- http://scripts.sil.org/OFLIn PDF document text
🗂 Part of campaign:
projectdental.org
3 samples
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
stream_005_off00009c19.bin |
decompressed-pdf-stream | PDF FlateDecoded stream at offset 0x9C19 | 24576 bytes |
SHA-256: 4e658efc7117aceab1e7ecf8d51088a513a67c060001b70d925f01006af016ae |
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font_00_sfnt_off00006351.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6351 | 5172 bytes |
SHA-256: 3bcf9870f92c982b7c17a8a07d03e87fd3dde878ba73b232ae4b4d15425b14fd |
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font_01_sfnt_off000074d4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x74D4 | 12128 bytes |
SHA-256: c912d3f113cffe5722cc4fcebf9707b8f660f19a7a86892d486aec61985799e3 |
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