MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
T1204.002 Malicious Link
The PDF contains embedded links, with one heuristic specifically identifying a link to a known malicious redirector at 'https://ttraff.com/pify?keyword=waiting+for+godot+a+tragicomedy+in+two+acts+pdf'. Another heuristic indicates a large number of external PDF links, suggesting a link farm or SEO poisoning attempt. The document body, though heavily obfuscated, contains text related to 'Waiting for Godot' and the wkhtmltopdf tool, likely serving as a lure. The primary attack pattern involves redirecting the user to malicious infrastructure.
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=waiting+for+godot+a+tragicomedy+in+two+acts+pdf In PDF document text
- http://files.texashollandlops.com/uploads/1/3/1/3/131379371/7953459.pdfIn PDF document text
- http://files.lacindra.com/uploads/1/3/1/3/131382092/47a85b94e46.pdfIn PDF document text
- http://files.karenjrader.com/uploads/1/3/1/3/131379543/611601.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/1/0431/3654/9018/files/wuwufobobexisofinegolu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9776/0668/files/46644149219.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/8621/6344/files/56622582978.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9762/9596/files/pakesuronuxe.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/2548/9320/files/dugudobakupezibo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/1948/4839/files/33555371578.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/5294/8901/files/all_nurses_study_guide.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/2793/1029/files/89944602984.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/71340125447.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1907/4712/files/how_to_contribute_to_github.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/6649/1042/files/raxosexasobur.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6381/1997/files/34044539242.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/4287/3249/files/patok.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/11383010616.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_off00016f30.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x16F30 | 5436 bytes |
SHA-256: a1f74c5fd9dccf1b8aff66124f6a5b44060e76ddc304586cc1d32c26d2ea9b7c |
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font_01_sfnt_off000181af.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x181AF | 11064 bytes |
SHA-256: d4eec5e1c21e76a9e89c5a74539ead33b33da067c18ac5bcbe4f216b8e9e5c47 |
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font_02_sfnt_off0001a6c6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x1A6C6 | 4324 bytes |
SHA-256: 05d2457133b820fa77aa358e30e9acfbad3f04c46ced9a37296d9311117db176 |
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