MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF document contains a link farm designed to redirect users to malicious infrastructure, specifically identified as 'ttraff.ru'. The document body, though obfuscated, contains text related to employment cover letters, suggesting a phishing lure. The embedded URLs are part of an SEO link farm, likely intended to improve search engine ranking for malicious content or to distribute further malicious documents.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
-
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.
-
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.
-
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.
-
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.
-
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=cover+letter+for+employment+sample+pdf In PDF document text
- http://files.fnaq.org/uploads/1/3/0/9/130969944/nivubuluro.pdfIn PDF document text
- http://files.susanstandfield.com/uploads/1/3/1/4/131408537/9efd7c8b1c.pdfIn PDF document text
- http://files.rubylashes.com.au/uploads/1/3/1/4/131453256/kilisonejoxevadokej.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/1/0428/1538/9855/files/91189573405.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/3690/1527/files/newerexotofikox.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6657/2452/files/zavukuriwukeviradaviremof.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/4162/8072/files/bagigonukaxozom.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/0635/1771/files/32631782305.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/9110/7752/files/36937955276.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7108/6492/files/17980580311.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/0149/4179/files/ccna_1_chapter_2_exam_answers.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/4635/4592/files/subowa.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/7623/0046/files/20923938894.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9259/0236/files/icmje_authorship.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1966/4540/files/desivezapelerafokikiwerem.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/6763/7922/files/43528047169.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_off00006ee4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6EE4 | 5112 bytes |
SHA-256: dc1d0a36f4f5e12d3f407bbcb0f8691a5971b7e44fe7de7a63013a36f7cda7b1 |
|||
font_01_sfnt_off0000803c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x803C | 11476 bytes |
SHA-256: 4aa864f719cf44f3aa8cf3bf59f4edc89855936e7a15ea7195183873b5471597 |
|||
font_02_sfnt_off0000a6b8.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA6B8 | 4324 bytes |
SHA-256: 05d2457133b820fa77aa358e30e9acfbad3f04c46ced9a37296d9311117db176 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.