MALICIOUS
154
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF contains a mass external link farm, with a primary malicious redirector URL disguised as an admit card. The ML classifier strongly indicates maliciousness. The document body, though partially corrupted, contains the malicious URL and keywords related to an admit card, reinforcing the lure. The numerous links to static.usrfiles.com suggest a large-scale SEO poisoning or link farm operation.
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.com/wix?keyword=dsssb+je+admit+card++2019
- https://static.usrfiles.com/ugd/c3548c_ade0b2744a97417094d0825e83b3e53d.pdf
- https://static.usrfiles.com/ugd/0d089b_880672db9fd34670a73015fd69f16830.pdf
- https://static.usrfiles.com/ugd/d43733_28a5de96c180445e8ad834b3303ae0ab.pdf
- https://static.usrfiles.com/ugd/c7ef1a_571ffc37ccd043b2996a41fc2ce09076.pdf
- https://static.usrfiles.com/ugd/a1fb72_30f0b2c6a0ac41f8a9a222232398e0d5.pdf
- https://static.usrfiles.com/ugd/b914b5_006167b0822945ac84200d7876365ce8.pdf
- https://static.usrfiles.com/ugd/d4a9d6_c1a31d67e9ec4ee297fca32eda1a0169.pdf
- https://static.usrfiles.com/ugd/7041e4_524df4021fcd483e945c6c38758e5560.pdf
- https://static.usrfiles.com/ugd/e1c37d_50d9bbf1e8e1420d81cca7e3887fdc79.pdf
- https://cdn.shopify.com/s/files/1/0457/6087/2604/files/45796605479.pdf
- https://cdn.shopify.com/s/files/1/0434/5361/2199/files/jll_report_dubai_2018.pdf
- https://cdn.shopify.com/s/files/1/0431/9277/8912/files/67057104854.pdf
- https://static.usrfiles.com/ugd/111c46_53f59d6b3182453589ddbcb71cd47809.pdf
- https://static.usrfiles.com/ugd/0a51c1_b6c65049614240a98f091a05a3aae3d6.pdf
- https://static.usrfiles.com/ugd/837d34_5ccedf20420a4e7c84b18c4090e7a137.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_off00005e18.bin3b2a76cfae73d2e8f28f93babfd6bbcc6155dbf86cd881b843a463c9caf444af |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5E18 | 5752 bytes |
font_01_sfnt_off00007191.bin7b80d144b0afc000125b0d37fb2ea21b1a1c5f78bd93b6a8c143067964b3e7d5 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7191 | 13708 bytes |
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