Malicious PDF — malware analysis report

Static analysis result for SHA-256 f7072946a6a0988f…

MALICIOUS

PDF

49.1 KB Created: 2020-09-13 11:46:49 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-22
MD5: ce6235d3eff11458a2215c0d216fb843 SHA-1: f892202d4f01f69b6d9ceba475543907a0825677 SHA-256: f7072946a6a0988f230b498e65dcfcc4d758c563b759b3ed09f2b46c37f77212
154 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains embedded links that point to a known malicious redirector infrastructure, specifically 'ttraff.club'. The document body, though heavily obfuscated, contains text related to a survey question and the malicious URL, suggesting a lure to trick users into clicking the link. The presence of numerous other PDF links, many pointing to benign content, indicates a potential link farm or SEO manipulation tactic to obscure the malicious intent. No scripts were extracted, but the ML classifier strongly indicates maliciousness.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK
    PDF 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_FARM
    Small 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.
  • Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL
    The 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_URL
    One 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.club/pify?keyword=how+to+answer+celpip+survey+question In PDF document text
    • http://files.lexmarch.ca/uploads/1/3/1/0/131070646/8296176.pdfIn PDF document text
    • http://kedul.csemedia.boston/uploads/1/3/0/7/130775755/7552360.pdfIn PDF document text
    • http://files.bobdyerspeaks.com/uploads/1/3/0/7/130775032/6722592.pdfIn PDF document text
    • http://kurixi.brice-williams.com/uploads/1/3/1/4/131407406/6498971.pdfIn PDF document text
    • http://files.emilyallredphotography.com/uploads/1/3/1/3/131398177/nitolebefelob_kixupetitida.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://static.usrfiles.com/ugd/50988c_a80ae2d2c33e4eb2afa62c4c0fd17600.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/9dda13_b83aea81ea8e46b08ed7893d222af54f.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/f103bb_37e34ad972aa42178449e8152433f8c0.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/54bec1_9820d7511e0340a5bb5d743b2d2b8f3d.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/70094d_6e80739a7ab4460e9e19e4dfdb053502.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0482/9305/2571/files/4246358348.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/0185/5646/files/french_indian_fur_trade_apush.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0428/3236/3687/files/lavuzejidasitol.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/de60da_b1fe911a283048c09da997b38929a02c.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/1d5a3f_55be46b728784b4cae9be4a77d35887a.pdfIn PDF document text
    • https://static.usrfiles.com/ugd/3aca14_bb9df1a0621b4866a8478fd92f29be3a.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.

FilenameKindSourceSize
font_00_sfnt_off0000788d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x788D 5268 bytes
SHA-256: bb9fccdf47149a2ee40c11f7e62a037c83a1ac5bee176a8102fe6f0440fb6b4a
font_01_sfnt_off00008a9e.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8A9E 1800 bytes
SHA-256: 51ebeec29509b87aa858d500e37ac8853184703d07d1f913ce36d8e1dc7764c0
font_02_sfnt_off0000932c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x932C 10492 bytes
SHA-256: 1f4cd98f18060e213c0c48053e514148b03c9c986ea30a4d22944d8d1a4c4cde

Open this report in the interactive analyzer, or submit your own file for analysis.