MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a link to a known malicious redirector, ttraff.ru, disguised as a document about "characteristics of millennials in the workplace". The document also hosts a large number of links to other PDFs on Shopify domains, suggesting a link farm or SEO poisoning tactic. The ML classifier strongly flagged this PDF as malicious. No scripts were extracted, but the primary attack vector appears to be social engineering via a deceptive link.
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.ru/pify?keyword=characteristics+of+millennials+in+the+workplace+pdf In PDF document text
- http://files.lactationconsultantathome.com/uploads/1/3/1/8/131871799/tuduxikexe.pdfIn PDF document text
- http://files.jacksandjillspreschool.com/uploads/1/3/0/7/130740617/mamawizunop.pdfIn PDF document text
- http://files.bowlssouthampton.org.uk/uploads/1/3/0/7/130775916/2bc85.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://cdn.shopify.com/s/files/1/0430/4021/1097/files/sebifenifopafazenopigez.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/4495/4527/files/tadapomigomobozafosebudu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7573/9560/files/zubenarisomesodivaxof.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8032/7076/files/tozinoz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/0315/0499/files/nokoxodetukeloxuzelut.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/5395/6758/files/lonofirikeka.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/1576/6177/files/winalololabevefufe.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/7106/2684/files/mudarajudoguxirute.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9985/7823/files/rakow.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/4433/8838/files/nozitigamovizubesow.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9465/4632/files/92639944355.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/2134/3647/files/dusozelusedanebukugudofap.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000069f0.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x69F0 | 5364 bytes |
SHA-256: 62f91db68c048b0b17f3b4688790d7d03f5319bc296eab7f2499b6f580e06b5f |
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font_01_sfnt_off00007c16.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7C16 | 10128 bytes |
SHA-256: 1131363807cf6194f9c4e30bfd6824baea3ddd6dc6813aa04fcc78c63b4a47f9 |
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font_02_sfnt_off00009ea1.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9EA1 | 4324 bytes |
SHA-256: b50a2106bf82917db0cd3cf88f63c5e8cc3298b343ace5cffc591b35df33d24c |
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