MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF document contains multiple embedded links, including one that redirects to a known malicious domain (ttraff.com). The document body text, though partially obfuscated, includes the phrase 'How do you say hi in somali' and the malicious URL, suggesting a lure for phishing or malware distribution. The presence of numerous PDF links, many pointing to Shopify domains, indicates a link farm designed to obscure the ultimate destination.
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/wix?keyword=how+do+you+say+hi+in+somali In 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/1/0433/0687/7080/files/76640573288.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/3513/1036/files/sholawat_munjiyat.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1062/9532/files/zojujedekofelawoza.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/1715/9335/files/47574778702.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_c97a82544fe94d92bc39cdba9a0d821c.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_094af72cd90b4be5bbd195cef94fabbf.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_39f0f66d1d6e4fa6876cafb002f957c2.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_1977e24afb7649d0acc0ee49f92a2f31.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_aadcf8a96d084ebfa32b9fbf7c27fc9f.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_b9f0b932ee554fec96eb601382c7aa5c.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_2f6107fba7ee425ba769464669ef6d58.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_b089d3b1d70b428681402cc08f38a9eb.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_11933d5931124f92991a5995b3c0b8c3.pdfIn PDF document text
- https://static.usrfiles.com/ugd/b8c837_2e001332d39b4cd69e54935833f64099.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
- 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_off00006e62.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6E62 | 5124 bytes |
SHA-256: 16507e76f15147bf944910eadd9c89b45d78a80c7df3143f935328d58b417c34 |
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font_01_sfnt_off00007fb5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7FB5 | 10380 bytes |
SHA-256: 25b88160251110d02002e65edd1ab5c3c25638cce7429f6e5d7ca848e7b0c1aa |
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font_02_sfnt_off0000a36a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA36A | 16084 bytes |
SHA-256: a3b8ae6cb61a975f1aaa3bdf1d75290c2750726bc6c8d8b6ec62e4e9f5cc9978 |
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