MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a prominent link that redirects to a malicious URL, disguised with text related to a movie download. This indicates a social engineering lure to trick users into visiting potentially harmful sites. The ML classifier strongly supports the malicious nature of this PDF. The embedded URLs suggest a link farm or redirector strategy to obscure the final malicious destination.
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.ru/pify?keyword=adithya+varma+full+movie++in+moviesda In PDF document text
- http://files.hatterasarchives.com/uploads/1/3/2/8/132814024/700639a.pdfIn PDF document text
- http://lonozelix.mummamovement.com.au/uploads/1/3/2/7/132710621/9776474.pdfIn PDF document text
- http://files.annact.com/uploads/1/3/0/7/130740053/verekisulupapabis.pdfIn PDF document text
- http://zovok.landertigerfootball.com/uploads/1/3/0/9/130969596/f3fcb71d3ce.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/1/0437/6857/8210/files/thinking_in_java_4.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/2252/3288/files/63199081390.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0653/3525/files/blade_2_soundtrack_free.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/2391/6443/files/atividades_de_alfabetizao_em.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7399/3890/files/27999034121.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/8917749958.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0450/8686/7621/files/medical_definition_of_disease.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/2172/8918/files/jubijoloz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0446/4685/8915/files/liwewadivu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/2868/4701/files/brooklyn_navy_yard_map.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/4890/9462/files/airman_ga_taosenai.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_off00005c57.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5C57 | 5300 bytes |
SHA-256: 62c7fc82c8b8b29b68fbe5df7cdd5de41c4b1145a36819ece12ce70108f92aa8 |
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font_01_sfnt_off00006e42.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6E42 | 4580 bytes |
SHA-256: 46ff2b04381839f07416989dd955dbf4886b898d6bc8d8b64266e0e4b1ac287a |
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font_02_sfnt_off00007f90.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7F90 | 10984 bytes |
SHA-256: e5bd58e1a02029d1a1bff0eef8f3afc7bb0efa929fe107408f3178193a813581 |
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