MALICIOUS
152
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF was flagged as malicious by a machine learning classifier and contains a significant number of embedded links to external PDF files, indicating a link farm or SEO manipulation tactic. One of these links, 'https://ttraff.me/wix?keyword=dead+island++android', points to known malicious redirector infrastructure. The document body contains garbled text but includes the same URLs, suggesting an attempt to disguise the malicious intent.
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.me/wix?keyword=dead+island++android
- https://static.usrfiles.com/ugd/d1d005_9f715591590343878af282d6016583ab.pdf
- https://static.usrfiles.com/ugd/3b47cb_edd64df74ae44cab8e7785dd6b58027d.pdf
- https://static.usrfiles.com/ugd/3aca14_22ecf410079b40008378b263c8827d6a.pdf
- https://static.usrfiles.com/ugd/9c0842_9ab6c3bddbe043e18d10ef3146f91c45.pdf
- https://static.usrfiles.com/ugd/d17951_411e2e9b00004fc6be29b0736c3c3b6a.pdf
- https://static.usrfiles.com/ugd/df4650_fadff5c09a6c49919800acd0f753b569.pdf
- https://static.usrfiles.com/ugd/b972d5_ba9c3c4ded384e4fbe02077b618dda64.pdf
- https://static.usrfiles.com/ugd/2b98a3_575081a560f949489c59dff2a4ddb24c.pdf
- https://static.usrfiles.com/ugd/ab059d_2dc5f41f2e8a47f396d24f58fe12f366.pdf
- https://static.usrfiles.com/ugd/09c3c7_bab00abfdebe4a8ba7ee6b241278a1ea.pdf
- https://static.usrfiles.com/ugd/bfd504_3ac3be2f6cd64872b2ebc37293c7b2f4.pdf
- https://static.usrfiles.com/ugd/de02f3_f04433dd04a2427685a098e2ff34d055.pdf
- https://cdn.shopify.com/s/files/1/0431/6053/5196/files/97108884403.pdf
- https://cdn.shopify.com/s/files/1/0428/8859/3571/files/sevosaxe.pdf
- https://cdn.shopify.com/s/files/1/0433/9807/0426/files/canonpowershot_s2_is.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_off000068b1.bin62527cf1aeb0a74ae998284964b0faffcbac43a2118d7eaedef21f7876d17fcd |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x68B1 | 4816 bytes |
font_01_sfnt_off00007916.bina2b551832c776e43e00b8e615a36ab5726813e37b79acb53ac974bec532c497e |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7916 | 1792 bytes |
font_02_sfnt_off000081ef.binc619aa72e97d226ef6d627d3a133a7c0c281fc331bc85db085cd4243a71d8546 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x81EF | 9812 bytes |
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