MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains multiple embedded links, with one pointing to a known malicious redirector infrastructure at 'ttraff.com'. The document body, though heavily obfuscated, contains the same redirector URL and a keyword suggesting a lure. The presence of numerous PDF links, many hosted on Shopify, indicates a link farm strategy to obscure the malicious destination. The ML classifier strongly flagged this PDF as malicious.
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=android+podcast+app+auto In PDF document text
- http://bufom.neattucks.com/uploads/1/3/0/8/130874493/deponijomirut.pdfIn PDF document text
- http://files.skiowsa.com/uploads/1/3/2/6/132681296/worexepuki.pdfIn PDF document text
- http://files.binauralbeatsmaster.com/uploads/1/3/0/7/130775786/8857350.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/1/0440/1951/5557/files/sonaxibotefilidonuzu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/9507/2673/files/maberinimugajififepuka.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/7118/3777/files/wheat_berries_nutrition_information.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/5788/2022/files/gifuravesamibapafadige.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1249/7313/files/zasol.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1514/2551/files/32300904848.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/8613/5961/files/kunofetu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0451/7933/8903/files/78457851068.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/7217/5784/files/redaj.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6495/8879/files/wuraliwedujaserugo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/2372/7783/files/fowuwodefodukaw.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/5725/9420/files/walt_disney_world_transportation_map.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_off00006154.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6154 | 5024 bytes |
SHA-256: 122c7551599445271ffdfc00c125d5e71c2106ec9162384fabc3e2bfe6ff17d0 |
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font_01_sfnt_off00007269.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7269 | 10064 bytes |
SHA-256: 95c8d11dca65475746b88c01832c4db912050eecad44488b55df5542accb1865 |
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