MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a mass external link farm, with one prominent link pointing to a known malicious redirector. The document body, though heavily obfuscated, contains the URL 'https://ttraff.cc/pify?keyword=architecture+of+computer+hardware+pdf', suggesting a lure to download further malicious content. The presence of numerous PDF links and the ML classifier's high confidence score indicate a malicious intent to redirect users to harmful sites.
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.cc/pify?keyword=architecture+of+computer+hardware+pdf In PDF document text
- http://files.nathanjonesmusic.com/uploads/1/3/2/6/132682134/62e58065350.pdfIn PDF document text
- http://files.iflowproductions.com/uploads/1/3/2/7/132741486/9d9c9fcb41f06b.pdfIn PDF document text
- http://files.bellafaces.net/uploads/1/3/1/0/131070792/domev_pexiwibosisok.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/1/0433/6753/0657/files/53148059759.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/7974/6201/files/ropakepozovunabex.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/3864/4123/files/34005710174.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/0020/7272/files/23761546479.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/2123/6381/files/kezikesel.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/5210/3842/files/vobenika.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/9502/4033/files/55061941071.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8091/6893/files/baixar_livro_as_catacumbas_de_roma_em.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/9994/7162/files/livros_minimalismo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/2021/2645/files/1104023338.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/6647/5164/files/1107_west_42nd_street_richmond_va.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/1479/7981/files/fipamamej.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/8494/8380/files/jofolidipaxoge.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_off00008617.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8617 | 5040 bytes |
SHA-256: 7e89f68838b6b4f087e464a7031898488ff7281c008b839b237bff55f70dc1c1 |
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font_01_sfnt_off00009747.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9747 | 10376 bytes |
SHA-256: 7383d46164fd4985d3407b5a93f3c7f3f8cb1ed38b9ab659dee6063163991485 |
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font_02_sfnt_off0000baaa.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xBAAA | 4324 bytes |
SHA-256: 0d0f64e27578eb124b8bc81c7eceacdd166e22eddd95c81328e9fbd7de2a6333 |
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