MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF file contains numerous external links, many of which point to benign Shopify domains, but one critical link redirects through 'ttraff.cc', a known malicious redirector. The document body, though heavily obfuscated, contains the text 'name change affidavit for passport pdf' alongside the malicious URL, suggesting a lure to trick users into clicking the link. The presence of a malicious redirector indicates the intent to lead the user to a further stage of attack, likely a phishing page or malware download.
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/pify?keyword=name+change+affidavit+for+passport+pdf In PDF document text
- http://files.phjarchitects.com/uploads/1/3/1/4/131414134/eb0382512fec.pdfIn PDF document text
- http://jilomud.twolidesign.com/uploads/1/3/1/4/131438641/d6ee41b549bd1.pdfIn PDF document text
- http://files.malamathesea.com/uploads/1/3/1/8/131871745/3907584.pdfIn PDF document text
- http://files.rutherforders7.com/uploads/1/3/2/7/132710671/cc46728cb2009.pdfIn PDF document text
- http://files.iananthonycoleman.com/uploads/1/3/0/7/130776718/9342694.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/1/0441/2263/6440/files/designs_and_construction_detail_of_mono_pitch_roofs.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7097/9237/files/70230249617.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/8541/1990/files/86063755400.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/1938/6526/files/25888882573.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/7637/8014/files/22345159359.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/5586/6263/files/soaked_cbr_test.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0448/1017/4630/files/el_modelo_canvas.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0441/2211/2152/files/amelie_piano_noten_fr_anfnger.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0568/1562/files/71454843462.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/8065/5775/files/95454349714.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/8424/3351/files/rimukotati.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6014/9910/files/18187858715.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/9741/5077/files/marajimuf.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_off00006808.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6808 | 5564 bytes |
SHA-256: e6cba857784e2489d6d2dd00f51ee972ec4226430c3695a767b91febb1903978 |
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font_01_sfnt_off00007ae3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7AE3 | 10292 bytes |
SHA-256: 5cba42f1339224d3bed79bab50582ea81d5fafba31e4e935518c65ad99152d77 |
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