MALICIOUS
152
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF file was flagged by multiple critical heuristics for containing malicious redirector links and a link farm. The ML classifier also strongly indicated maliciousness. The document body contains numerous URLs, including a primary suspicious URL that appears to be a redirector. The presence of a link farm suggests an attempt to game search engines or distribute malicious content widely.
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.ru/wix?keyword=phase+change+diagram+worksheets
- https://static.usrfiles.com/ugd/b8c837_e5d6b7df37384fc9a880e88f05fb19f3.pdf
- https://static.usrfiles.com/ugd/b8c837_0abbcbbff42644c4a10cc8ae1872525a.pdf
- https://static.usrfiles.com/ugd/b8c837_16b52d1e7e444b0396e282047c1fca6e.pdf
- https://static.usrfiles.com/ugd/353d00_2371f53d7fff453d9e711a38020744ec.pdf
- https://static.usrfiles.com/ugd/b8c837_1ee47d256e764390bb80a568278c3939.pdf
- https://static.usrfiles.com/ugd/b8c837_832aecef188b4b538cd4dcace800634b.pdf
- https://static.usrfiles.com/ugd/b8c837_d1f77c90893a4412aaa3473ad3b14f38.pdf
- https://static.usrfiles.com/ugd/b8c837_7b84defb064646b88a044573187bbe34.pdf
- https://cdn.shopify.com/s/files/1/0431/7688/6431/files/74027172463.pdf
- https://cdn.shopify.com/s/files/1/0435/9749/6488/files/hands_on_machine_learning_for_algorithmic_trading.pdf
- https://static.usrfiles.com/ugd/b8c837_7e904775cefb4412b93ad8db286da3b2.pdf
- https://static.usrfiles.com/ugd/3eed2b_a031852517b148559930ff9c72078920.pdf
- https://static.usrfiles.com/ugd/b8c837_7e178cdb969847e5933a8d0d38cee5e7.pdf
- https://static.usrfiles.com/ugd/67e251_4e3ae932c36242d4bc07374de0fea348.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_off000061e9.bin80ac0bc41dbcca8ad12b4a8f06d47a85d126d4c0574f311126812453e784381f |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x61E9 | 5480 bytes |
font_01_sfnt_off00007469.bin1a93b5a7fbe1765665810674f60da3cdbcf5cf3713ccb74292b6c6eda00b68b8 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7469 | 10364 bytes |
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