MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains numerous embedded links, with one specifically pointing to a known malicious redirector. The document body, though heavily obfuscated, contains text that appears to be a lure for an 'English french accounting dictionary pdf'. The presence of a large number of external PDF links suggests an attempt to manipulate search engine results or distribute further malicious content. The ML classifier also strongly indicated maliciousness.
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=english+french+accounting+dictionary+pdf In PDF document text
- http://files.beckymathisportraits.com/uploads/1/3/1/6/131607163/wawevavaduvolejimit.pdfIn PDF document text
- http://files.web3iot.com/uploads/1/3/1/6/131637374/1367274.pdfIn PDF document text
- http://wuwoleje.gardenofweedin.net/uploads/1/3/0/8/130873851/e0327cc794.pdfIn PDF document text
- http://files.chivertonrda.co.uk/uploads/1/3/1/4/131438639/5243852.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/1/0428/9835/8432/files/pepefawabibuf.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/1596/9688/files/57594027841.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/5197/3794/files/xebaxanejora.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7793/5004/files/dalixiweg.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/3224/7445/files/84964570583.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/9812/0096/files/7453019821.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6345/9496/files/44787132472.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5563/5871/files/61910606512.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/gekisemegudifusoledo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8279/2606/files/broadcom_802._11ac_network_adapter_driver.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/6025/7177/files/48929805450.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
🗂 Part of campaign:
beckymathisportraits.com
3 samples
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000086a4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x86A4 | 5476 bytes |
SHA-256: 61f3a93825aa5cb93fa61b72f16f10eeaa9e1edf76455b7339385dbf108ba342 |
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font_01_sfnt_off00009952.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9952 | 9740 bytes |
SHA-256: 105a10ff6223aa2d913b3d229923ea011a23ab0bc11584a6906f7a6665b08730 |
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