MALICIOUS
202
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF file contains a lure related to 'Amar ujala dehradun epaper pdf' and includes multiple links pointing to redirector infrastructure, specifically 'https://ttraff.com/pify?keyword=amar+ujala+dehradun+epaper+pdf'. The heuristic 'PDF_MALICIOUS_REDIRECTOR_LINK' and 'PDF_SEO_LINK_FARM' indicate that this PDF is designed to lead users to malicious sites, likely for phishing or malware distribution. The ML classifier also strongly flagged this PDF as malicious.
Machine Learning
- Nyx PDF Classifier malicious score 0.9997
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=amar+ujala+dehradun+epaper+pdf In PDF document text
- http://files.fearnotministries.com/uploads/1/3/0/7/130776402/618120.pdfIn PDF document text
- http://files.eurocastanea.org/uploads/1/3/0/7/130738841/jixefewime.pdfIn PDF document text
- http://files.tonchairs.com/uploads/1/3/1/4/131437530/pozegavusabixu-xudefidujine.pdfIn PDF document text
- http://files.rachelsouthart.com/uploads/1/3/0/9/130969172/pobusajakev-vupiluk.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/1/0431/0161/8330/files/lezukujoriv.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8120/3861/files/pibesotagolotidusomezozos.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8960/0414/files/5759901314.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/3532/0735/files/fagovosuk.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/zobirunutopuwipigodilig.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/2438/2114/files/giduvoxen.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/4574/6838/files/19192754251.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/1795/3702/files/52905364252.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2151/6449/files/tefakakixivezilugita.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/felamisakawubibaxejurelok.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/2982/1600/files/83646768017.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/4355/2416/files/22836566327.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/0470/6464/files/59324016115.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
- http://dejavu.sourceforge.netIn PDF document text
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
Extracted artifacts 5
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000faf1.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xFAF1 | 4812 bytes |
SHA-256: 2660a51a448bcb30c2eda9d02f56bac19c11a31f5dbe163e5ff2df05b7473541 |
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font_01_sfnt_off00010b14.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x10B14 | 3720 bytes |
SHA-256: 6539b129c5cd894636dc8f40f53a156c00c8f46378ab4f137c96d687a1cff6ed |
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font_02_sfnt_off00011677.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x11677 | 15496 bytes |
SHA-256: 3543cd08a764640f7b3f374d0cbfd56e9156ae6212a9da9a858a8d6912281c81 |
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font_03_sfnt_off000146de.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x146DE | 16164 bytes |
SHA-256: 6e3fbd491d8b71441998836ddca0d0c102716a221ea14f8143929167ad9a79b3 |
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font_04_sfnt_off00015c2f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x15C2F | 7908 bytes |
SHA-256: 344a58d7d195b755047cdb1e6353d574f7bc12295087dd939e84e2af20d0e50c |
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