MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF file contains multiple embedded links, with a critical heuristic firing indicating it leads to known malicious redirector infrastructure. The document body, though heavily obfuscated, contains text that appears to be a lure for a "Twitter video and gif er app". The primary malicious IOC is the redirector URL, which is likely used to funnel victims to further malicious content or phishing pages.
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=twitter+video+and+gif+er+app In PDF document text
- http://xoloju.justpotatoes.co.uk/uploads/1/3/1/6/131637814/decdc6379.pdfIn PDF document text
- http://gulen.erica-barlow.com/uploads/1/3/1/4/131453293/102317.pdfIn PDF document text
- http://files.body-knowledge.com/uploads/1/3/2/6/132681824/2094315.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://cdn.shopify.com/s/files/1/0430/8746/2551/files/xaleto.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/9249/9877/files/74776686152.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1593/7948/files/kivaxipifibunesof.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0452/4458/0002/files/pronoun_antecedent_exercises_with_answers.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/9857/8848/files/15712860798.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8588/9689/files/68679532415.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/7538/6021/files/xovujadesebogexejog.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/3631/8616/files/zirixokakuvodutitaz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/7866/4867/files/vetekeji.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/9199/0430/files/tejifuvuwob.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/7519/0422/files/68369271275.pdfIn PDF document text
- https://twitter.com/PassengersMovie/status/821025484150423557In 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_off00006a84.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6A84 | 4888 bytes |
SHA-256: 7be5eeaf2cd197b1dcb9fb58a2ddbe8cbb1b955ceae04a6249a21047723abf5d |
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font_01_sfnt_off00007b47.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7B47 | 10676 bytes |
SHA-256: a8857abaca4e5c4a24d5ae9aef481d2f93c39f0694d7df15347361d80f02118a |
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font_02_sfnt_off00009f89.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9F89 | 4324 bytes |
SHA-256: cd94ef65598b1866d0653cdd88243d989fd81359c0e770c2d3a4858f1c2f6d34 |
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