MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF file was flagged by a machine learning classifier as malicious and contains numerous embedded links. One of these links, https://ttraff.ru/pify?keyword=if+the+savior+stood+beside+me+youtub, points to a known malicious redirector. The document body itself is heavily obfuscated and appears to be a lure, containing a mix of seemingly random text and URLs. The presence of a link farm suggests an attempt to distribute 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=if+the+savior+stood+beside+me+youtub In PDF document text
- http://files.mukilteohouseofwax.com/uploads/1/3/2/8/132816096/5998932.pdfIn PDF document text
- http://files.creesbrothersfarm.com/uploads/1/3/1/6/131637240/wifuzugolebavazadane.pdfIn PDF document text
- http://files.wundanookcreations.com/uploads/1/3/1/0/131070192/nasowaneromibefaxewo.pdfIn PDF document text
- http://files.edzyunique3.com/uploads/1/3/2/8/132815207/fopeteme_befilusodi.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/1/0430/3729/4754/files/vtech_kidizoom_action_cam_180_manual.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/4591/9652/files/95317015907.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/8050/6791/files/sobajemen.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/4655/1208/files/dumudipirodujalakogan.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/1537/2949/files/tonakozupepiseturib.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/1744/4264/files/kunaputuwigowopu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8721/6293/files/vobap.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/1006/4537/files/2286035152.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/4949/1359/files/85814943126.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3846/5435/files/ruby_true_false.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2482/6014/files/87663523200.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0982/6213/files/wuzotutokure.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/7677/1224/files/69262950678.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9940/5977/files/moon_knight_warren_ellis.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/1651/0873/files/cambridge_english_objective_proficiency.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_off000066e5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x66E5 | 5132 bytes |
SHA-256: fdb9229377fb7d04fabe889f63ae0ee63e64f5250d01c41df53aaaa69013236a |
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font_01_sfnt_off00007865.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7865 | 10120 bytes |
SHA-256: ec7c8d1a3317e8f62b4076c8793511a987e8ee4c43be285a2eafa74009fb3a7a |
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font_02_sfnt_off00009afb.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9AFB | 4324 bytes |
SHA-256: 9f355172d696dda274cac500966718f112ce76951f19577ac4888987ea6471b2 |
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