MALICIOUS
154
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF file contains a high density of embedded links, a technique often used for SEO poisoning or redirecting users to malicious sites. The heuristic PDF_MALICIOUS_REDIRECTOR_LINK specifically identifies a link to 'ttraff.com', a known malicious redirector. The document body, though heavily obfuscated, contains the same URL, reinforcing its malicious intent. The ML classifier also strongly indicated maliciousness.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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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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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=music+theory+for+dummies+pdf+free+do
- https://cdn.shopify.com/s/files/1/0434/6380/3040/files/o_reilly_learning_python.pdf
- https://cdn.shopify.com/s/files/1/0431/5096/6950/files/vawojalumagatodoveva.pdf
- https://cdn.shopify.com/s/files/1/0429/2568/6951/files/82312712806.pdf
- https://cdn.shopify.com/s/files/1/0432/5366/1851/files/boynton_beach_fl_water_quality_report.pdf
- https://cdn.shopify.com/s/files/1/0439/4260/9051/files/yrc_bill_of_lading_form.pdf
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/guwesimutetalajizobanubel.pdf
- https://cdn.shopify.com/s/files/1/0432/2246/6727/files/sales_promotion_activities.pdf
- https://cdn.shopify.com/s/files/1/0437/9262/9917/files/meguvafadi.pdf
- https://cdn.shopify.com/s/files/1/0433/5511/1589/files/sunesafegubu.pdf
- https://cdn.shopify.com/s/files/1/0429/1375/9395/files/60610199706.pdf
- https://static.usrfiles.com/ugd/d5415a_7b6006d2b04948a0a173d8645680e3ea.pdf
- https://static.usrfiles.com/ugd/12745a_c51527d85f4d485f8f4df266feac4c5c.pdf
- http://www.w3.org/1999/02/22-rdf-syntax-ns#
- http://purl.org/dc/elements/1.1/
- http://ns.adobe.com/pdf/1.3/
- http://ns.adobe.com/xap/1.0/
- http://ns.adobe.com/xap/1.0/mm/
- http://ns.adobe.com/xap/1.0/rights/
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00006055.binf14af5fc4850387bdcec592e220ec0ca625701fdcacecacc13451752e91af03e |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6055 | 5036 bytes |
font_01_sfnt_off00007187.bin50248b1618873af85e5792fbdd51b6a7fb9101e6388245d6815e6a36bbc9bb68 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7187 | 10460 bytes |
font_02_sfnt_off0000952b.bin4fcfa7c68d76e23b667942a3ac892d2d5d88346478daafc61479ad4df4af3dd3 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x952B | 4324 bytes |
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