MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
T1204.002 Malicious Link
The PDF file contains a link to a known malicious redirector, identified by the PDF_MALICIOUS_REDIRECTOR_LINK heuristic. The document body, though heavily obfuscated, contains text related to a 'mapa metro de barcelona 2020 pdf' and the malicious URL itself. The PDF_SEO_LINK_FARM heuristic indicates a large number of external links, suggesting a link farm or a method to obscure the true malicious destination. The primary malicious IOC is the redirector URL.
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=mapa+metro+de+barcelona+2020+pdf In PDF document text
- http://files.zuntzmusic.com/uploads/1/3/1/8/131856498/2747609.pdfIn PDF document text
- http://regefawev.evelineverhulst.nl/uploads/1/3/1/3/131383483/6281708.pdfIn PDF document text
- http://files.mendenhall-lab.org/uploads/1/3/2/6/132695543/mativazekuda.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/1/0431/1266/1146/files/ninexixeri.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/7522/3206/files/56178496000.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/7141/3160/files/an_introduction_to_applied_statistical_thermodynamics.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/2135/3635/files/77553828961.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/0963/8553/files/xopibopawakeposo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0913/8075/files/bogudefowijilijenu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/6510/4791/files/24942097044.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/2176/0672/files/86284105948.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/5461/9041/files/99639789801.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0390/3127/files/wefosozukixofosuweligejo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/2446/3525/files/susalove.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/7794/9848/files/railway_stenographer_syllabus.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/0594/1672/files/cashflow_game_instructions.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_off0001c0dc.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x1C0DC | 5540 bytes |
SHA-256: 7bea6d35f3d9b0e092ba47af356e00891cb36b169f7271a596ceadee588698a0 |
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font_01_sfnt_off0001d398.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x1D398 | 2116 bytes |
SHA-256: 29a3819fcf58c07b1a4ca7aa4d6f4f3da919668fc69abac3fb26ba101e349abd |
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font_02_sfnt_off0001dd48.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x1DD48 | 15216 bytes |
SHA-256: 6fe0a96898285f258922a29b85b4ac1c7311891d55b25d48150f6057aa18a5c3 |
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