MALICIOUS
152
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF file was flagged as malicious by an ML classifier and contains numerous embedded links. One critical heuristic indicates the presence of a PDF link to known malicious redirector infrastructure, specifically pointing to 'ttraff.ru'. Another critical heuristic identified a large PDF link farm, with many links hosted on 'cdn.shopify.com'. The document body, though heavily obfuscated, contains the same malicious URL and several benign-looking Shopify URLs, suggesting a lure to a malicious site disguised within a seemingly legitimate document.
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=mis+sentimientos+erroneos+silvia+olmedo+pdf
- https://cdn.shopify.com/s/files/1/0433/0425/5656/files/git_remove_local_commits.pdf
- https://cdn.shopify.com/s/files/1/0429/8155/6375/files/96636464096.pdf
- https://cdn.shopify.com/s/files/1/0427/4506/9724/files/mofamuli.pdf
- https://cdn.shopify.com/s/files/1/0438/1625/5645/files/ctet_syllabus_2020_paper_2.pdf
- https://cdn.shopify.com/s/files/1/0438/5724/8421/files/awg_amps_table.pdf
- https://cdn.shopify.com/s/files/1/0433/8722/4214/files/makak.pdf
- https://cdn.shopify.com/s/files/1/0432/2603/8433/files/taxepezinofavudedo.pdf
- https://cdn.shopify.com/s/files/1/0428/7938/5766/files/puwojulexuxezesekusaje.pdf
- https://cdn.shopify.com/s/files/1/0437/5497/9477/files/60102602246.pdf
- https://cdn.shopify.com/s/files/1/0434/4234/0007/files/fiji_passport_application_form_nz.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_off0000616a.bin4fe80d5fe1c33faf8303b2a3dad7c50eae190689b287e6ed69f9cd5fb4589a86 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x616A | 5252 bytes |
font_01_sfnt_off00007337.bina42c4427f7a122e80535a8d09f60936bf2915a098d39986b38403bf002280abc |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7337 | 12044 bytes |
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