Malicious PDF — malware analysis report

Static analysis result for SHA-256 9fff79dfe1547bf9…

MALICIOUS

PDF

41.4 KB Created: 2020-10-31 07:00:35 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-31
MD5: c359f758df697d434f391db2785deeab SHA-1: 7b664ae2b8f8ce96ab97f87aa52e4da837d22c09 SHA-256: 9fff79dfe1547bf928ae2edf42e44c341daaaf8ff70f3ff3c3cfb3f73cf3dea3
154 Risk Score

Malware Insights

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

The PDF contains multiple embedded URLs, with a critical heuristic identifying a link to known malicious redirector infrastructure. The document body, though heavily obfuscated, contains text that appears to be a lure related to 'Night at the museum' and includes the malicious URL. The ML classifier strongly indicates maliciousness, supporting the attack pattern of luring users to a malicious site.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9999

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://gettraff.ru/123?keyword=night+at+the+museum+script In PDF document text
    • https://cdn-cms.f-static.net/uploads/4414335/normal_5f9c9730a5df5.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4370785/normal_5f909ea2202ef.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4380382/normal_5f8f63f763bd0.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4385850/normal_5f8f53fb9b472.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://s3.amazonaws.com/libosokune/47720111057.pdfIn PDF document text
    • https://s3.amazonaws.com/timafatafej/rasini.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/3598b53e-8c89-4a6c-8dc5-e595be5f51d5/python_sort_files_by_name.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0436/9635/7530/files/nubekokite.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 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006402.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6402 5284 bytes
SHA-256: 631ed94b5b4f2282ea20ce03ce22e2dcee8f56069f0744170593b811425b9ecf
font_01_sfnt_off000075df.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x75DF 10380 bytes
SHA-256: edaebd35dd01ab6fca6059862b87bd2b8a1eb3e22d23e211996bcfbd7dde8523