MALICIOUS
242
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains embedded links and text that impersonate a government service to trick users into clicking a malicious URL. The heuristic firings indicate the PDF is a redirector and part of a link farm, likely leading to phishing or malware. The document body explicitly mentions 'e aadhaar card by name' and contains the malicious redirector URL, confirming the lure.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 7
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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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MFA / one-time-code harvesting lure high SE_MFA_LUREDocument asks for a one-time code, authenticator approval, or MFA confirmation — consistent with credential phishing kits that steal session tokens or abuse multi-factor authentication
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Fake invoice / payment lure low SE_INVOICE_LUREDocument contains invoice or payment language paired with an action verb — useful context when combined with link, macro, or attachment indicators
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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=e+aadhaar+card++by+name In PDF document text
- http://files.pyuschan.com/uploads/1/3/0/8/130874102/kemutok.pdfIn PDF document text
- http://fufunud.ojibwe-dakota-in-mn.com/uploads/1/3/1/3/131398008/7f8b3e4c0af.pdfIn PDF document text
- http://files.ascensionepiscopalchurch.org/uploads/1/3/0/8/130874125/figofix-ditepolefez-musufuda.pdfIn PDF document text
- http://files.vshtimbersptyltd.com/uploads/1/3/1/0/131070841/17f0bcb28c2.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/1/0429/9328/7331/files/73373058313.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/4973/0727/files/57049365071.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/6133/6471/files/intermezzo_cavalleria_rusticana_string_quartet.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/6382/6840/files/hylton_ross_tour_guide_jobs.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/0835/2679/files/aislamiento_e_identificacion_de_enterobacterias.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/6855/5415/files/dujewakaxivagitoxuko.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/6910/4540/files/meratewopofidadiwa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/9833/2572/files/how_to_writing_incident_report.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/1637/2892/files/sutedokiluzalatomekatexez.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/9803/8679/files/9393534362.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/2263/9527/files/93800346984.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2865/9870/files/xozixexafuzotenenuk.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://dejavu.sourceforge.netIn PDF document text
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00008913.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8913 | 5168 bytes |
SHA-256: a3aef484385df1043322359609326d020cb984f334eed5d332e7eff1fbc841b7 |
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font_01_sfnt_off00009a78.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9A78 | 10012 bytes |
SHA-256: de7446cbc38fdd014e9817eb00cda02015948640f4032c412c05573bd636a164 |
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font_02_sfnt_off0000bd09.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xBD09 | 16144 bytes |
SHA-256: 764fe263e68fd20aff2bbd96e69f5a400d440299d02096befa162391f913c7cf |
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