MALICIOUS
152
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a link to a known malicious redirector, ttraff.ru, which is disguised as a search result for 'Harlem by Langston Hughes pdf'. This indicates a phishing or social engineering attempt to direct users to malicious content. The ML classifier strongly supports the malicious nature of this PDF.
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=harlem+by+langston+hughes+pdf
- https://static.usrfiles.com/ugd/97493d_1dfee6feda684a36a8aee272f95066ba.pdf
- https://static.usrfiles.com/ugd/b8c837_8f3c9b208a314ac3b35194506fae5083.pdf
- https://static.usrfiles.com/ugd/87fdc7_f20a7f9bdc4549319cc533415733a0a5.pdf
- https://static.usrfiles.com/ugd/b6edda_d9d562b7c0c3415c82135b8e1323f514.pdf
- https://static.usrfiles.com/ugd/b8c837_0a016298cd264e08830d91a2ceb502ad.pdf
- https://static.usrfiles.com/ugd/162fe6_fcd3ab46ae34491fa101918073b6436d.pdf
- https://cdn.shopify.com/s/files/1/0427/6027/4087/files/2308126063.pdf
- https://cdn.shopify.com/s/files/1/0436/3635/9326/files/68814812898.pdf
- https://cdn.shopify.com/s/files/1/0438/4358/4162/files/remove_git_submodule.pdf
- https://static.usrfiles.com/ugd/353d00_7b6fda3e70684ede96901685e017045f.pdf
- https://static.usrfiles.com/ugd/b8c837_2c1c2a3713ab43eab5e5e0d28b856f2c.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_off0000fd77.binfb92cd76f9f3a57e175eccbd1eef24215a886a380be36265e38fce853bec0d8f |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xFD77 | 5660 bytes |
font_01_sfnt_off00011080.bin99c2d1e8859a1089b9509764fd30d9764fd4a0d5737122e4e0c8c2b96f2995ff |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x11080 | 10864 bytes |
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