MALICIOUS
202
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains numerous embedded links, with one specifically identified as a malicious redirector. The presence of a 'download button' lure and the ML classifier's high confidence score indicate a malicious intent to redirect users to harmful content. While no scripts were directly extracted, the structure suggests a potential for JavaScript execution or exploitation of PDF vulnerabilities to facilitate the redirection.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
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://cctraff.ru/mozel?keyword=very+important+synonyms+list+pdf In PDF document text
- http://devedime.pesfusd.com/uploads/1/3/1/4/131482916/9602127.pdfIn PDF document text
- http://jubipi.brjcdac.org/uploads/1/3/2/3/132302915/b4039aca404.pdfIn PDF document text
- http://jibevizor.blockchainmena.fintecnet.com/uploads/1/3/1/3/131380429/8764567.pdfIn PDF document text
- http://files.christiancounsellingcentre.ca/uploads/1/3/0/8/130813931/4fe35b694d55.pdfIn PDF document text
- http://fezezogim.cambridgesupervisiontraining.org/uploads/1/3/2/6/132681337/divef.pdfIn PDF document text
- https://site-1037069.mozfiles.com/files/1037069/68012228408.pdfIn PDF document text
- https://site-1036900.mozfiles.com/files/1036900/46850176734.pdfIn PDF document text
- https://site-1037193.mozfiles.com/files/1037193/58438978476.pdfIn PDF document text
- https://site-1037177.mozfiles.com/files/1037177/zitokavefikovi.pdfIn PDF document text
- https://site-1037260.mozfiles.com/files/1037260/nolugosunugu.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/1/0463/2949/5713/files/brachial_plexus_block.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6761/3082/files/kufosa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0441/1519/8104/files/starts_with_c_ends_with_z.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0468/8897/6541/files/bluestacks_pc_windows_7_32_bit.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/7587/1654/files/atherosclerosis_2017.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8311/2341/files/32152409811.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_off0000a121.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA121 | 5040 bytes |
SHA-256: b995ce6dae633de97dcef2377d4e04ec4e375369ba21fe9a8e251f30b9d767bd |
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font_01_sfnt_off0000b227.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xB227 | 14176 bytes |
SHA-256: e54ba0a51586fcd52db1e6689992aeab161d566a746ee7774de8a7b77a187cc6 |
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font_02_sfnt_off0000de0d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xDE0D | 4324 bytes |
SHA-256: 9f355172d696dda274cac500966718f112ce76951f19577ac4888987ea6471b2 |
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