MALICIOUS
154
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
This PDF file was flagged as malicious by a machine learning classifier and contains a significant number of embedded links. One of these links, 'https://ttraff.cc/wix?keyword=leica+v-+lux+1', points to known malicious redirector infrastructure. The PDF also functions as a link farm, directing users to numerous other PDFs hosted on 'static.usrfiles.com'. The document body contains garbled text and a repeated URL, suggesting it is not intended for human consumption but rather as a lure or a vehicle for distributing malicious links.
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.cc/wix?keyword=leica+v-+lux+1
- https://static.usrfiles.com/ugd/804ff6_1c858e2f5c264903a79963f9a53a4c24.pdf
- https://static.usrfiles.com/ugd/b8c837_acd4e2360e3442e3b86e781b90b26e2c.pdf
- https://static.usrfiles.com/ugd/db93e9_6b0ceffd056947cba8a00b1de77e28f6.pdf
- https://static.usrfiles.com/ugd/a2c2bc_08c50742d13d4e678141727902a7a001.pdf
- https://static.usrfiles.com/ugd/b8c837_c5457d31b2ec4059a31b98aa8781f0d3.pdf
- https://static.usrfiles.com/ugd/a58b01_bb5bcce6e5014f68913c8e2f04c222b8.pdf
- https://static.usrfiles.com/ugd/b8c837_c84418c1503d410ba113c80ac25457ed.pdf
- https://static.usrfiles.com/ugd/6260fe_1b6bfb9da0944ca2aced3652f4b3f6d5.pdf
- https://static.usrfiles.com/ugd/b8c837_e7ea19c99bdb486894a8fc84fb184fdb.pdf
- https://static.usrfiles.com/ugd/57c819_38b6b8ff4d684ed6a7fe9965ad0bd2a9.pdf
- https://static.usrfiles.com/ugd/0c4177_227070699a5b444ba909dc401f1c79ad.pdf
- https://static.usrfiles.com/ugd/b8c837_9c315e1065d446e2ae67cf8361e2fa41.pdf
- https://static.usrfiles.com/ugd/dad90e_485096908eb1457aaab832522efb1736.pdf
- https://static.usrfiles.com/ugd/07e02c_53470cda85904cf3831080113ccca86e.pdf
- https://static.usrfiles.com/ugd/19103d_af76af940a9b4558b9a1abea909f9d0c.pdf
- https://cdn.shopify.com/s/files/1/0432/7620/6238/files/4563753834.pdf
- https://cdn.shopify.com/s/files/1/0429/1294/0188/files/29604137470.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_off00008800.bin54b276a60d5d2c8aa1157e21d7eeaf5107a60028101bcbc32cfcf8f64eb07428 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8800 | 4672 bytes |
font_01_sfnt_off00009808.bin00be3f11f3d13795ecea59fba9b16a018a8d124fd09254828b1b6282014a54f1 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9808 | 16836 bytes |
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