MALICIOUS
150
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a mass of external links, including a redirector to a known malicious domain. The primary link directs to https://ttraff.cc/pify?keyword=radio+flyer+car, which is flagged as a malicious redirector. The document body is heavily obfuscated and appears to contain junk data, but the presence of the malicious link is the strongest indicator of malicious intent. The PDF_SEO_LINK_FARM heuristic indicates a large number of links, likely for SEO poisoning or to distribute malware.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 3
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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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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=radio+flyer+car
- http://files.annalisavivona.com/uploads/1/3/2/3/132302923/3e16c6c3.pdf
- https://cdn.shopify.com/s/files/1/0437/0061/7381/files/roxomigojeruputiwador.pdf
- https://cdn.shopify.com/s/files/1/0434/4902/4669/files/fiwajopusi.pdf
- https://cdn.shopify.com/s/files/1/0429/5468/6630/files/32618314934.pdf
- https://cdn.shopify.com/s/files/1/0433/1290/6405/files/21376114507.pdf
- https://cdn.shopify.com/s/files/1/0433/5904/3749/files/11084268109.pdf
- https://cdn.shopify.com/s/files/1/0447/9565/8389/files/credit_risk_modelling_springer.pdf
- https://cdn.shopify.com/s/files/1/0429/5399/8489/files/gikum.pdf
- https://cdn.shopify.com/s/files/1/0430/9119/8112/files/marawaguti.pdf
- https://cdn.shopify.com/s/files/1/0431/0951/5415/files/93303254137.pdf
- https://cdn.shopify.com/s/files/1/0439/1947/4856/files/67082335116.pdf
- https://cdn.shopify.com/s/files/1/0463/0937/6162/files/nekelof.pdf
- https://cdn.shopify.com/s/files/1/0430/4617/4877/files/21709501144.pdf
- https://cdn.shopify.com/s/files/1/0428/4809/2323/files/89681450098.pdf
- https://cdn.shopify.com/s/files/1/0430/8841/2836/files/69045002707.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 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000063a2.bin2fbfa1f1df656865624f7e19e73301ba2b220508961ec7b55d06f6a8061d84f1 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x63A2 | 4944 bytes |
font_01_sfnt_off0000748e.bin69756f91a2f5dd0afb958ae256c0fa41e73bdff8ce8dcc1a10af31bf7fed5a0e |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x748E | 10532 bytes |
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