MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains multiple embedded links, with one heuristic specifically identifying a link to known malicious redirector infrastructure. The document body, though partially corrupted, includes text suggesting a lure related to an 'artificial intelligence book'. The primary malicious URL identified is https://ttraff.cc/pify?keyword=artificial+intelligence+book+by+rich+and+knight+3rd+edition+pdf, which is likely used to redirect the user to a further malicious destination. The presence of numerous Shopify URLs, while some are benign, suggests a pattern of using legitimate-looking hosting for malicious redirects.
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=artificial+intelligence+book+by+rich+and+knight+3rd+edition+pdf In PDF document text
- http://files.finnsplace.org/uploads/1/3/1/3/131380005/zulezulatutu-teduduz.pdfIn PDF document text
- http://files.atousaraissyan.com/uploads/1/3/0/7/130740563/wofore-kuruvuxajekadel-puposurubag.pdfIn PDF document text
- http://files.valleyrootsfoodhub.com/uploads/1/3/0/7/130740344/fa8b50ce.pdfIn PDF document text
- http://files.summerswebdesigns.com/uploads/1/3/2/7/132740423/3998897.pdfIn PDF document text
- http://files.genotac.com/uploads/1/3/1/3/131379894/b33ae4ab0d5.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/1/0435/3651/5224/files/36492688703.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/2355/7030/files/66041627937.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/6375/3369/files/project_problem_statement.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/1071/1971/files/93000942084.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5481/6667/files/matplotlib_remove_border.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/1525/6738/files/28381483863.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/3300/2145/files/lodovaxudowaluvivivovij.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9468/8419/files/totutojavakulirapudiwevoj.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/6786/6265/files/81532694028.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
- http://www.geocities.com/mitra_anirban/hobbies.htmGNUIn PDF document text
- http://www.gnu.org/copyleft/gpl.htmRegularIn PDF document text
Extracted artifacts 4
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00004baf.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x4BAF | 5484 bytes |
SHA-256: 11dfb7a8e59ce2752a285e0aa738729a562e48ffec03efecd36168f884bb38a9 |
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font_01_sfnt_off00005e45.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5E45 | 5176 bytes |
SHA-256: 8198e9ad1b3e0bf70637006df7e1fabe2338e24a2807cfdc97c86d9adf1edf09 |
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font_02_sfnt_off00006f20.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6F20 | 9720 bytes |
SHA-256: 39a09e9b6da74cd3fa76966f2777091f3947cc0e8f25ffc551597769c2114b65 |
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font_03_sfnt_off00009054.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9054 | 4324 bytes |
SHA-256: b50a2106bf82917db0cd3cf88f63c5e8cc3298b343ace5cffc591b35df33d24c |
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