MALICIOUS
152
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
T1204.002 Malicious Link
The PDF file contains a lure related to "machine learning coursera quiz answers week 9" and embeds multiple links. One of these links, https://ttraff.ru/wix?keyword=machine+learning+coursera+quiz+answers+week+9, is flagged as a known malicious redirector. The PDF also contains a large number of external links, many hosted on shopify.com, suggesting a link farm or SEO poisoning tactic. The ML classifier strongly indicated maliciousness.
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=machine+learning+coursera+quiz+answers+week+9
- https://cdn.shopify.com/s/files/1/0431/2639/0946/files/52503189346.pdf
- https://cdn.shopify.com/s/files/1/0431/7852/4832/files/luther_s_small_catechism_with_explanation.pdf
- https://cdn.shopify.com/s/files/1/0428/3655/7987/files/python_julian_date.pdf
- https://cdn.shopify.com/s/files/1/0440/2728/1558/files/veterinary_microbiology_and_microbial_disease_download.pdf
- https://cdn.shopify.com/s/files/1/0433/6707/1894/files/gimilitevoj.pdf
- https://static.usrfiles.com/ugd/b8c837_08b7e61acb7943a58bb4d15be473e1be.pdf
- https://static.usrfiles.com/ugd/289c5e_0edef66a82f944de9419806222d9c47c.pdf
- https://static.usrfiles.com/ugd/8d57bd_5ac4ba823da3438fa0f0ba076ee4b443.pdf
- https://static.usrfiles.com/ugd/b8c837_7c45a3521adb48139282e4aac115287d.pdf
- https://static.usrfiles.com/ugd/289c5e_ac3937aff8a149b79d208a542e419713.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 4
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00007b93.binb8646819af08f9f88ea594aeb2baf5afcc83dfe08c29e762027b703bbf69ca91 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7B93 | 3316 bytes |
font_01_sfnt_off0000877d.binb6f1910e28b6631a44bc08cb90ff79c64f87f0b545163f924486763dbb1393c1 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x877D | 5556 bytes |
font_02_sfnt_off00009a64.bin7a02da73c5ff24218d04b188db7d31ceb9303d5dedd43b645f18a615a19d9b6a |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9A64 | 6068 bytes |
font_03_sfnt_off0000aa15.bin0d1480695ea284610097336fdbc47455ffd3e2240528c474c5ab049494a779e6 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xAA15 | 10236 bytes |
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