MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains numerous embedded links, with a critical heuristic identifying a link to a known malicious redirector at 'https://ttraff.cc/wb?keyword=revolucion%20francesa%20causas%20y%20consecuencias%20pdf'. The document body, though heavily obfuscated, also contains this URL and other links pointing to external PDF files, suggesting a link farm or redirection scheme. The ML classifier strongly indicates maliciousness, and the overall structure points to a phishing or redirection attack.
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.cc/wb?keyword=revolucion%20francesa%20causas%20y%20consecuencias%20pdf In PDF document text
- http://mudaniten.earth-commons.com/uploads/1/3/0/7/130739704/8de7da085b4149.pdfIn PDF document text
- http://files.michelletjohnson.com/uploads/1/3/1/4/131407424/6387409.pdfIn PDF document text
- http://files.tantricshadowcoaching.com/uploads/1/3/2/3/132303359/jakepikimosip.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://cdn.shopify.com/s/files/1/0430/8058/1274/files/58096544798.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9658/1020/files/wowonokero.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/6288/6554/files/bonebabibo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6231/2616/files/telologexulokolelojire.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/6871/8233/files/bibel_deutsch_download.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/1884/4322/files/juan_tamariz_mnemonica.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/0092/2261/files/south_africa_outline_map.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/6228/8793/files/58705820533.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/6515/6508/files/14506839271.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0447/9533/0717/files/biggest_cities_in_the_us.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/6598/3655/files/60959654850.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_off0000b6b9.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xB6B9 | 5120 bytes |
SHA-256: 7b6f393af31a226bc4f9335cd9a41fc561e271a9b17b788d2819aea48c64f1f7 |
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font_01_sfnt_off0000c83a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xC83A | 11136 bytes |
SHA-256: 962aa076412462fcdff2993bea459c9c6c5c4958de5220f4366cbe210eee3af2 |
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font_02_sfnt_off0000ec89.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xEC89 | 4324 bytes |
SHA-256: 4fcfa7c68d76e23b667942a3ac892d2d5d88346478daafc61479ad4df4af3dd3 |
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