MALICIOUS
202
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains multiple heuristics indicating malicious redirection and link farming, specifically pointing to a redirector at ttraff.com. The presence of a 'download button' lure and the ML classifier's high confidence score further support a malicious intent. The document body, though obfuscated, contains the primary redirector URL, suggesting it's used to funnel victims to potentially malicious sites.
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.com/pify?keyword=chaitanya+charitamrita+pdf+in+bengali In PDF document text
- http://files.littlefrenchmarketcompany.com/uploads/1/3/1/4/131483209/9342348.pdfIn PDF document text
- http://loxus.docsjoininghands.com/uploads/1/3/1/3/131380505/9cadb734cf44.pdfIn PDF document text
- http://files.buycolorfest.com/uploads/1/3/0/7/130739198/d54bbf007eed.pdfIn PDF document text
- http://files.gilroyffa.com/uploads/1/3/1/3/131382841/2c24e44cb5b82.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/1/0428/7306/1532/files/4856325805.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/6999/7207/files/xijadofewezegazos.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0450/4364/6614/files/an_image_of_africa_racism_in_heart_of_darkness.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/2218/6653/files/pubiz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9785/8972/files/durubovopujojagukipugo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0951/5413/files/pejojobe.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/2086/0064/files/14290174366.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0412/4571/files/92406274701.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/0891/7657/files/87583658324.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/6640/1692/files/aleister_crowley_deutsch.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/0545/1174/files/20289024934.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/8778/2297/files/8975915556.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00005df2.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5DF2 | 5536 bytes |
SHA-256: a506a1980eb124b12bbff388872c561bf5a897e424bcfa5ef534127837e01fcf |
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font_01_sfnt_off0000709c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x709C | 6384 bytes |
SHA-256: 312714588259f5f535ffbfff87e959846e8fbc38b7cbb9332391303f7322b036 |
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font_02_sfnt_off0000858f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x858F | 15004 bytes |
SHA-256: e4b694d781bde864c01e0bc9cc6d6d1fd227b5ee0f9bb9ca46e4fbab19093c32 |
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