MALICIOUS
210
Risk Score
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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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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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://ttraff.cc/pify?keyword=acknowledgement+of+receipt+form+template In PDF document text
- http://files.newyorkacupuncturecenter.com/uploads/1/3/1/4/131438259/b4ea1d66844ba15.pdfIn PDF document text
- http://majonufix.thebrainyblonde.com/uploads/1/3/1/3/131398020/walexale.pdfIn PDF document text
- http://files.innspyre.com/uploads/1/3/0/7/130776054/6362389.pdfIn PDF document text
- http://files.isuprssa.com/uploads/1/3/0/8/130873921/9609515.pdfIn PDF document text
- http://kelarage.presstovalet.com/uploads/1/3/0/7/130739777/tuzam.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/1/0434/0521/3847/files/97355456788.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/1281/5010/files/analytical_questions.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/9603/9839/files/ditigufabibexabotikomi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/3340/9174/files/daxabilifaveduwavipodido.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/7414/9793/files/bitbucket_app_android.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/6623/7852/files/memitojubewuvoweva.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/3367/3380/files/descargar_adobe_acrobat_reader_dc_gratis.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5193/3078/files/69409589854.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6276/3425/files/irritable_bowel_disease.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/3264/9636/files/gativudunipotovajogivo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/2360/4631/files/xaruz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/7090/6780/files/26244404801.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_off0000bd97.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xBD97 | 2828 bytes |
SHA-256: 85b692c1c636aed9ab1240d2a7361179fdd6c0849396a06064984f922e967b4f |
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font_01_sfnt_off0000c791.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xC791 | 5440 bytes |
SHA-256: 0de9b8d5337b9412f190a452a99880ca64cf8b9533e5c0086767ad4a1df01fff |
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font_02_sfnt_off0000da0a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xDA0A | 9868 bytes |
SHA-256: 0c1a915decdbf9cf343d4b1a8efe3e8c54899ed33a800c6d8fc6bcfe0d8feac6 |
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