MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF document contains numerous embedded links, many of which point to a redirector service (ttraff.ru) that is flagged as malicious. The document body, though heavily obfuscated, also contains the same malicious URL and several benign Shopify URLs, suggesting a link farm or SEO poisoning tactic. The primary intent appears to be to redirect users to malicious infrastructure under the guise of providing a "CS interview cheat sheet".
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=cs+interview+cheat+sheet In PDF document text
- http://files.thepotwarehouse.com/uploads/1/3/1/3/131383743/xajurajumud.pdfIn PDF document text
- http://files.transportofyesteryear.com/uploads/1/3/0/7/130776001/gefaxuzujajerav-jigivimij-mudasene.pdfIn PDF document text
- http://files.shenandoahpiper.com/uploads/1/3/0/7/130776120/3972640.pdfIn PDF document text
- http://files.civil-vapes.com/uploads/1/3/1/4/131453684/kakoziwedi.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/1/0440/5005/5318/files/givejemosekiruvatejalelit.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5004/9446/files/jifumixakameviw.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3866/2053/files/21217446874.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0835/9589/files/rowazusa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/2681/5903/files/60961780108.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/9825/7048/files/wetipunikevoza.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/8052/4710/files/fedujegiboxe.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/6576/1176/files/89015135599.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/1741554469.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5004/9448/files/46202745792.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/7784/3609/files/katiz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/5778/9605/files/92045290709.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
- http://dejavu.sourceforge.netIn PDF document text
- http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00007b47.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7B47 | 4912 bytes |
SHA-256: 7ce3810d3f245178bc59a900ceed7852e9fca11a5450bd5991af42906872c265 |
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font_01_sfnt_off00008c0a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8C0A | 16956 bytes |
SHA-256: f37943d6b255f3608ef4067e7f8eb1562018c181e876025903da03f885205bf9 |
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font_02_sfnt_off0000c0dc.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xC0DC | 16232 bytes |
SHA-256: b2cbfceaf44fc4a56d1321c5677f125dfbde6a5f8c873b6a17361dd7c2aa5302 |
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