MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.001 PowerShell
The PDF file was flagged as malicious by an ML classifier and contains a large number of external links, indicating a potential link farm or SEO manipulation tactic. One of the embedded URLs, 'https://ttraff.ru/pify?keyword=braham+kavach+pdf+in+punjabi', is associated with known malicious redirector infrastructure. The document body, though heavily corrupted, contains references to the same URL and other Shopify-hosted PDF files, suggesting a coordinated effort to distribute malicious content or manipulate search engine results.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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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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Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINKPDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
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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/pify?keyword=braham+kavach+pdf+in+punjabi In PDF document text
- http://files.breenabuettner.com/uploads/1/3/1/4/131437623/kogejelox.pdfIn PDF document text
- http://files.kinnorclassics.com/uploads/1/3/1/6/131637163/pojazukixexesim.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://fedorahosted.org/lohitIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/7778/6018/files/ponupimizozekokitetupab.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/9063/2101/files/99380653230.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/5851/1510/files/cfm56_5b_engine.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/4852/6246/files/tamabe.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/2631/7473/files/26665673374.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/4364/2773/files/berlitz_japanese_in_30_days.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/2045/7883/files/civil_engineering_drawing_book_free_download.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/1790/3008/files/cahier_de_vacances.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/9902/1731/files/waiting_for_the_barbarians_free.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/7542/0835/files/92733602208.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/3350/9534/files/21_jump_street_watch_online_free.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/8149/7766/files/36434992002.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/5177/7185/files/26224626948.pdfIn PDF document text
- http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
- http://purl.org/dc/elements/1.1/In PDF document text
- http://ns.adobe.com/pdf/1.3/In PDF document text
- http://ns.adobe.com/xap/1.0/In PDF document text
- http://ns.adobe.com/xap/1.0/mm/In PDF document text
- http://ns.adobe.com/xap/1.0/rights/In PDF document text
- http://scripts.sil.org/OFLIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00006668.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6668 | 5576 bytes |
SHA-256: 8ca42097f5920ad1f6bc473d178af26c2e4206a54edb83037a624972ce506e27 |
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font_01_sfnt_off00007936.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7936 | 2268 bytes |
SHA-256: 0205ddf57b62bc97bd90587cc778989db48d0e6d78c7b261d7abbd2f6ca421db |
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font_02_sfnt_off00008330.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8330 | 16116 bytes |
SHA-256: 3a36f455bb32f2f9d0b739ef3f8e5a92ba70c42493b2e5a1d828fd41b15b60a2 |
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