MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a heuristic firing for a malicious redirector link, pointing to 'https://ttraff.ru/pify?keyword=speak+english+like+an+american+pdf+free'. This URL is embedded within the document body, suggesting a lure to trick users into downloading content. The presence of a large number of external PDF links, many hosted on Shopify, further indicates a link farm or SEO poisoning tactic. The ML classifier also 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.ru/pify?keyword=speak+english+like+an+american+pdf+free In PDF document text
- http://files.iamlisteningtoyou.com/uploads/1/3/2/3/132303410/d47a74b24.pdfIn PDF document text
- http://zanof.kyler-leroux-coaching-portfolio.com/uploads/1/3/1/4/131437689/nezifozeminol.pdfIn PDF document text
- http://files.vcgallery.org/uploads/1/3/1/8/131856381/rokererukirejakifu.pdfIn PDF document text
- http://files.playbyplaytheatre.org/uploads/1/3/1/3/131398430/6e6ba694fb.pdfIn PDF document text
- http://noronowu.poseidonwater.com/uploads/1/3/0/8/130814328/5940181.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/1/0428/9835/8432/files/53607129813.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/0383/8615/files/fallout_4_speed_command.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/4914/7816/files/tuzusumajaditojapewezatu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/8520/8483/files/discrete_mathematics_and_applications_4th_edition.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/4642/8059/files/kuxoxutugegovudorigiruva.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/3867/1010/files/3453955736.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0911/3242/files/advanced_sql_queries_examples_with_answers.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/9171/2405/files/pedevigu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/9683/4212/files/25961291328.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/9245/8139/files/63480147661.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/8706/9348/files/42802070062.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_off000051cf.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x51CF | 5336 bytes |
SHA-256: dcdfc087a21cd676a62e72d679e975098db6e0d8ad42cb9bc9c1cfd8492802fc |
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font_01_sfnt_off000063b6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x63B6 | 13436 bytes |
SHA-256: f4ddf91757bd9deb811196fec65255afe6f5e844c6884f288cce5ab673e83612 |
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font_02_sfnt_off00008e01.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8E01 | 4324 bytes |
SHA-256: 1158d95dac44631f497756703988ba3645251422e7ff0015d3fca430225e7c3e |
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