MALICIOUS
152
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF document contains a significant number of embedded links, with one identified as a malicious redirector. The heuristic 'PDF_SEO_LINK_FARM' indicates a large number of external PDF links, suggesting a tactic to manipulate search engine results or distribute further content. The ML classifier strongly supports the malicious nature of this PDF. No scripts were extracted from this sample.
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=world+mythology+donna+rosenberg+3rd+edition+ebook
- https://cdn.shopify.com/s/files/1/0431/0764/7639/files/cisco_aironet_1815i.pdf
- https://cdn.shopify.com/s/files/1/0430/0485/4435/files/sagovidul.pdf
- https://cdn.shopify.com/s/files/1/0434/4211/0631/files/best_books_on_machine_learning.pdf
- https://cdn.shopify.com/s/files/1/0438/5341/4565/files/quran_tilawat_with_bangla_translation.pdf
- https://cdn.shopify.com/s/files/1/0429/2182/0313/files/bugumo.pdf
- https://cdn.shopify.com/s/files/1/0428/3334/6719/files/27812372649.pdf
- https://static.usrfiles.com/ugd/2ca09c_12e1392b818746a786c71c950374c9ea.pdf
- https://static.usrfiles.com/ugd/b8c837_2556911f02764007aacff729e7e70393.pdf
- https://cdn.shopify.com/s/files/1/0434/5564/3813/files/68656182693.pdf
- https://cdn.shopify.com/s/files/1/0433/9479/3635/files/dmv_bursary_forms_2020.pdf
- https://cdn.shopify.com/s/files/1/0434/3106/7813/files/tudunijokisa.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_off00004997.bin70948f6c2a62043f3633f280abcc61c4097930352c81d2ea2e61e6cb444de13d |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x4997 | 5724 bytes |
font_01_sfnt_off00005d04.bin457d50eed4181fbf2f7c1043a3307714cea693b760931e489feabb8f0c355dca |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5D04 | 10240 bytes |
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