MALICIOUS
202
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF file was flagged as malicious by an ML classifier and contains multiple heuristics indicating malicious intent. It links to a redirector URL, which in turn points to a large number of other PDFs, suggesting a link farm or phishing campaign. The presence of a 'download button' lure further supports this. While no scripts were explicitly extracted, the PDF structure and embedded URLs are indicative of a malicious download or phishing attempt.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 6
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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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Visual download / call-to-action button lure low SE_DOWNLOAD_BUTTONDocument contains a call-to-action phrase ('Click here to download', 'Download Now', etc.) — low-signal unless other findings point to a malicious workflow
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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=ga+capsules+pdf In PDF document text
- http://files.earthdaystinsonbeach.org/uploads/1/3/0/7/130775760/5430636.pdfIn PDF document text
- http://files.changinglyfemgmt.com/uploads/1/3/1/3/131384281/d615e6da4c4.pdfIn PDF document text
- http://files.nltbiblecollege.org/uploads/1/3/1/6/131606815/lumixulemowumasipeva.pdfIn PDF document text
- http://files.sturgeonenglish.com/uploads/1/3/1/8/131871433/4094021.pdfIn PDF document text
- http://files.coffeewgranddaddy.net/uploads/1/3/2/7/132710621/sigoso.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/1/0440/5959/0806/files/vuravipamasexoluv.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0564/8791/files/lonofulovisuzi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/4666/6389/files/codex_calixtinus_music.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1052/2277/files/66989256826.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/4136/6951/files/clicker_keypad_programming.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/6387/8566/files/dininakekodawa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/4715/7914/files/tosupigopodu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/8003629611.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/3170/7294/files/5447824591.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/3110/1603/files/gobijega.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6106/7428/files/xazoxevawebo.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
- http://www.geocities.com/mitra_anirban/hobbies.htmGNUIn PDF document text
- http://www.gnu.org/copyleft/gpl.htmRegularIn PDF document text
Extracted artifacts 4
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00005ff6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5FF6 | 5084 bytes |
SHA-256: 7dd89f354d765d7dfc3168efb90ba67424e382b9eac38e583928a2edfa23987c |
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font_01_sfnt_off00007157.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7157 | 3720 bytes |
SHA-256: d5ecec3e822993868ba70e247019bcdb656a9fee58d620eb93bc70658e929280 |
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font_02_sfnt_off00007cba.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7CBA | 19572 bytes |
SHA-256: ad48e0aafb365a2defdd25b1f627f0f0e0fad2f0528ec62124d7a431f920d68d |
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font_03_sfnt_off0000b0d0.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xB0D0 | 5848 bytes |
SHA-256: eb9352ce3b15b1f52e29fc15a52177e4279ff400d76867c368c1054581a56893 |
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