MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF file was identified as malicious due to its structure containing a large number of external links, a common technique for SEO poisoning or link farming. One of the embedded URLs, 'https://ttraff.cc/pify?keyword=bolet%25C3%25ADn+informativo+ministerio+de+seguridad+2019', is flagged as a malicious redirector. The document body, though heavily obfuscated, contains this same URL, suggesting it is the primary lure. The ML classifier also strongly indicated maliciousness.
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/pify?keyword=bolet%25C3%25ADn+informativo+ministerio+de+seguridad+2019 In PDF document text
- http://kuwebiba.keithgriffithssquash.com/uploads/1/3/1/0/131070382/2876877.pdfIn PDF document text
- http://files.driftwoodgiftstofino.com/uploads/1/3/1/0/131070674/wufufifer.pdfIn PDF document text
- http://files.forehandfinancial.com/uploads/1/3/0/7/130775063/fimatifo-dasewereret.pdfIn PDF document text
- http://files.meaghanherstad.com/uploads/1/3/0/8/130814110/6b43507e4e51264.pdfIn PDF document text
- http://files.biohaircarethailand.com/uploads/1/3/1/0/131070378/3e9b1e7f.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/5702/8001/files/mb_in_a_gb.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/8613/5961/files/mitizigidabebosefa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/8468/3166/files/lemabuvuzowaginovavojo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/1609/3849/files/vadelojipanevarobak.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8249/7700/files/78628968242.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/5534/8888/files/89469461133.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/2666/8952/files/zokanajizof.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/2630/7480/files/28061447055.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/9217/3217/files/jaxarofikuzoziwalebazedid.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/2589/0469/files/92858589076.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/0313/4627/files/34400038418.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/5757/0207/files/kobaz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/58829080427.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 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000892d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x892D | 5872 bytes |
SHA-256: 9da7f0b89703289b7c35f1bfdb7ddf31a23c604cd8214c8a75d01cecc021d3fc |
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font_01_sfnt_off00009d21.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9D21 | 10872 bytes |
SHA-256: ae93aa9ab9f4515160821ce7ae634495c532c61e27ebf80a01a094f8ce807675 |
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