Malware Insights
The PDF document was flagged as malicious by a machine learning classifier and contains a large number of embedded links. One critical heuristic indicates that these links point to a known malicious redirector infrastructure, specifically 'ttraff.com', which is used to obscure the final destination. The document body, though heavily obfuscated, contains text related to a 'Kgro power pro lawn mower manual', suggesting a lure to entice users to click the malicious links. The presence of numerous external PDF links further supports the classification as a link farm, likely for SEO manipulation or to distribute further malicious content.
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.com/pify?keyword=kgro+power+pro+lawn+mower+manual In PDF document text
- http://files.casciabooks.com/uploads/1/3/2/8/132816066/wuzekewapubamaweb.pdfIn PDF document text
- http://files.livingatthedistillery.com/uploads/1/3/0/7/130776591/dilunokewanubol-duvafopap-pijikofusejoji.pdfIn PDF document text
- http://files.singersandactorsworkshop.com/uploads/1/3/2/7/132740218/mubazaxumadajag.pdfIn PDF document text
- http://files.mountainapotheca.com/uploads/1/3/2/7/132710748/53bf68b68e.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/1/0431/2272/0922/files/kurogovokefegibovi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/8657/5771/files/vewik.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6644/1376/files/43934766683.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1448/7190/files/68649716550.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/1701/1353/files/69433921109.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6862/8892/files/87084785108.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/8909/3018/files/mowukavurakaj.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/8118/8003/files/xamopokaxoxexogipuki.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/7634/6266/files/77998386915.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/1311/8872/files/r_density_plot.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/vuwotowomezi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/1143/2857/files/51908062409.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/4818/9603/files/xijatufitowimun.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9199/3500/files/41315520217.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 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00007116.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7116 | 5020 bytes |
SHA-256: 7f4b6cfe3b72183fc087424e31dcdca6d0e6745f70f3cb399738cdabc5bcb390 |
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font_01_sfnt_off00008235.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8235 | 10112 bytes |
SHA-256: dfa0501cce6ffa1095eeebb7012f4c022e6f79a9d0bcba08d84da01fd8ccd677 |
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