MALICIOUS
152
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF file was flagged by a machine learning classifier and contains a large number of embedded links, with one identified as a known malicious redirector. The document body, though heavily obfuscated, also contains URLs. This suggests the primary purpose is to lure users to malicious sites, potentially for phishing or malware delivery.
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=maria+lucia+medeiros
- https://cdn.shopify.com/s/files/1/0429/5147/5366/files/21294249208.pdf
- https://cdn.shopify.com/s/files/1/0443/8222/4550/files/search_bar_implementation_in_android.pdf
- https://cdn.shopify.com/s/files/1/0440/6237/6101/files/mapa_metro_praha.pdf
- https://cdn.shopify.com/s/files/1/0440/5723/1525/files/30380125568.pdf
- https://cdn.shopify.com/s/files/1/0431/1423/4016/files/fijidesogasegezolizesoto.pdf
- https://static.usrfiles.com/ugd/b8c837_c1b09fe3458b4864bedc3aacab44d508.pdf
- https://static.usrfiles.com/ugd/b8c837_a47dd791f8354667970fb3e2ffea5297.pdf
- https://static.usrfiles.com/ugd/b91566_d09aa5d684f445c6a23d0c1d1e732751.pdf
- https://cdn.shopify.com/s/files/1/0439/4385/4235/files/2000_mitsubishi_montero_sport_owners_manual.pdf
- https://cdn.shopify.com/s/files/1/0429/1729/8329/files/an_autoregressive_distributed_lag_modelling_approach_to_cointegration_analysis.pdf
- https://cdn.shopify.com/s/files/1/0436/0824/4381/files/lowes_auburn_maine.pdf
- https://cdn.shopify.com/s/files/1/0432/2299/1005/files/protein_metabolism.pdf
- https://cdn.shopify.com/s/files/1/0430/9526/1348/files/91633880866.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/
- https://static.usrfiles.com/ugd/b91566_d09aa5d684f445c6a2
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00005913.bin97157f8978ec67100b8a5a50e8359cc706bed0243f097cfc7d69bbd8ec7fd8c3 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5913 | 5088 bytes |
font_01_sfnt_off00006a46.binc8789a6f9874d785d741f5851f6e04fa67a0436740c7c3b25adc92b3baabe892 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6A46 | 12540 bytes |
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