Malicious PDF — malware analysis report

Static analysis result for SHA-256 3784222c022f4d33…

MALICIOUS

PDF

40.1 KB Created: 2020-08-18 20:40:02 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: c6f7d2c6f41636e84a44500703fe334a SHA-1: 30847a4f10c6ef03743fde12c5bb282e3b76e8d6 SHA-256: 3784222c022f4d33be296187729778940f6dd634b6aa8249e11b1146b0461b25
152 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1059.001 PowerShell

The PDF contains embedded links that redirect to malicious infrastructure, specifically identified by the heuristic PDF_MALICIOUS_REDIRECTOR_LINK. The document body, though heavily obfuscated, contains text referencing "Adobe pdf online converter" and the malicious URL, indicating a social engineering lure. The ML classifier strongly flagged this PDF as malicious, supporting the conclusion that it is designed to redirect users to harmful content.

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.com/pify?keyword=adobe+pdf+online+converter
    • http://files.ginnyleehomes.com/uploads/1/3/1/8/131871622/5409955.pdf
    • https://cdn.shopify.com/s/files/1/0436/6244/2646/files/43663940827.pdf
    • https://cdn.shopify.com/s/files/1/0435/4827/8935/files/19109459194.pdf
    • https://cdn.shopify.com/s/files/1/0430/1537/2953/files/75617215342.pdf
    • https://cdn.shopify.com/s/files/1/0428/9993/1295/files/91755698105.pdf
    • https://cdn.shopify.com/s/files/1/0429/3863/0300/files/99555255133.pdf
    • https://cdn.shopify.com/s/files/1/0433/0687/7080/files/wetitoditasenubekuxon.pdf
    • https://cdn.shopify.com/s/files/1/0434/1130/8696/files/bafolesamesoxorizawomede.pdf
    • https://cdn.shopify.com/s/files/1/0430/6888/3098/files/rokufumiri.pdf
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#
    • http://purl.org/dc/elements/1.1/
    • http://ns.adobe.com/pdf/1.3/
    • http://ns.adobe.com/xap/1.0/
    • http://ns.adobe.com/xap/1.0/mm/
    • http://ns.adobe.com/xap/1.0/rights/

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006087.bin
aef901229ee6595716cba1b4ddb73dd312ad1b87546c18f4dc58437501f7696d		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6087 4952 bytes
font_01_sfnt_off00007171.bin
6943cf47c44912434be618da501587fc310f111fb2bc96a2e9753409c413d0c4		 pdf-font-stream PDF embedded font (sfnt) at offset 0x7171 10168 bytes

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