MALICIOUS
152
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF file was flagged as malicious by a machine learning classifier and contains a critical heuristic indicating a link to known malicious redirector infrastructure. The primary malicious IOC is the URL 'https://ttraff.ru/wix?keyword=john+macarthur+on+francis+chan'. While the document body contains garbled text, the presence of the malicious URL strongly suggests a phishing or malware delivery attempt.
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=john+macarthur+on+francis+chan
- https://cdn.shopify.com/s/files/1/0450/6550/2872/files/cards_against_humanity_all_expansions.pdf
- https://cdn.shopify.com/s/files/1/0429/0877/8663/files/android_samsung_mobile_phones_under_4000.pdf
- https://cdn.shopify.com/s/files/1/0439/7717/9294/files/89085641292.pdf
- https://cdn.shopify.com/s/files/1/0435/3366/4411/files/31953995824.pdf
- https://static.usrfiles.com/ugd/b8c837_735c6288f6dc435e9ebd8326560b260d.pdf
- https://static.usrfiles.com/ugd/a382ee_d9960c9a4a164326961b48fe51c2820c.pdf
- https://static.usrfiles.com/ugd/362633_08f8b5d1ec5f4d549c8421ce9949b157.pdf
- https://static.usrfiles.com/ugd/b8c837_a47a680e4ec94322a405f54667ff81ba.pdf
- https://static.usrfiles.com/ugd/b8c837_571f9aa5480443b3be67f1a85301e71c.pdf
- https://static.usrfiles.com/ugd/cec570_74ae3cbf7da9438187892caf1d370fb8.pdf
- https://static.usrfiles.com/ugd/455f95_76850434ab8948a2a0be52965e2befaa.pdf
- https://static.usrfiles.com/ugd/b4a829_21179e97b5274d21bef8da8fca68b0b0.pdf
- https://cdn.shopify.com/s/files/1/0440/9350/5688/files/96626852656.pdf
- https://cdn.shopify.com/s/files/1/0431/9939/8052/files/40520837254.pdf
- https://cdn.shopify.com/s/files/1/0432/2725/0848/files/44421001671.pdf
- https://cdn.shopify.com/s/files/1/0435/2504/6431/files/24824727984.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000076af.bin0a446b3f7fe42d3b5fe12d60765f8913493be03894d36fb65a28f03c4c966724 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x76AF | 4840 bytes |
font_01_sfnt_off000086e5.binfce4aa8846a5097093f9c8b42dcb273849407bbcf49d13c2be38b86619824d04 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x86E5 | 10168 bytes |
font_02_sfnt_off0000a968.bince7e2e230a41ba6fc2d7d2240890c8289d67876d84a3d076d67c0b48111c8230 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA968 | 4324 bytes |
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