Malicious PDF — malware analysis report

Static analysis result for SHA-256 cbfcb435120ac00e…

MALICIOUS

PDF

89.1 KB Created: 2021-01-18 01:50:37 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-27
MD5: d49653a73fa76057a38d13e46598cf4d SHA-1: 7017e05d2d430a3c0926f5e640fec1b0aeafd39c SHA-256: cbfcb435120ac00e928dfa28842957edf70f446042724acd81eefac4d903f344
124 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains multiple embedded links, with one specifically identified as a known malicious redirector. The heuristic 'PDF_MALICIOUS_REDIRECTOR_LINK' and 'ML_NYX_PDF_MALICIOUS' strongly indicate malicious intent. The document appears to be a link farm designed to direct users to potentially harmful websites, masquerading as research examples.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

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 is a non-clustered link farm on disposable hosting medium PDF_SEO_DISPOSABLE_LINK_FARM
    Small PDF contains many clickable external PDF links spread thin across many distinct hosts (no single dominant host), corroborated by a utm_term SEO-redirector link and/or links parked on free/disposable content hosts. This is the 'free document/template' SEO phishing PDF family, which ranks for search queries and routes users into payload/redirect chains, rather than a normal document citation pattern. The PDF itself carries no exploit — the risk is the linked destinations.
  • 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://traffmen.ru/123?utm_term=phenomenological+research+methods+examples In PDF document text
    • https://cdn.sqhk.co/salijuvam/ghijdjh/vifaxowibopudupesupekos.pdfIn PDF document text
    • https://cdn.sqhk.co/zewesifadeka/hieidjd/aeroxchange_2020_agenda.pdfIn PDF document text
    • https://site-1176991.mozfiles.com/files/1176991/zuzabogusolijuzufunezem.pdfIn PDF document text
    • https://site-1252903.mozfiles.com/files/1252903/vamemenagef.pdfIn PDF document text
    • https://cdn.sqhk.co/texojijoraso/WhhX6XL/xejum.pdfIn PDF document text
    • https://static.s123-cdn-static.com/uploads/4424400/normal_5fe43d685861c.pdfIn PDF document text
    • https://static.s123-cdn-static.com/uploads/4470014/normal_5fc9cfa36ebbb.pdfIn PDF document text
    • https://site-1168340.mozfiles.com/files/1168340/nixidawubazidogek.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4386620/normal_5f8d29dde8525.pdfIn PDF document text
    • https://cdn.sqhk.co/dameseri/jhuhjhd/vanipatifunoxoserujagukot.pdfIn PDF document text
    • https://static.s123-cdn-static.com/uploads/4470532/normal_5fc7d2b85a4b7.pdfIn PDF document text
    • https://site-1171608.mozfiles.com/files/1171608/guncrafter_no_name_commander.pdfIn PDF document text
    • https://site-1176460.mozfiles.com/files/1176460/64815313729.pdfIn PDF document text
    • https://site-1176114.mozfiles.com/files/1176114/37570522359.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://fesemuk.rf.gd/ericsson_mobility_report_november_2018.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_off00012000.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x12000 5556 bytes
SHA-256: 9ad2bd1b79828d5e76e2f8338147ae38b6793f8dc067620a9436e89fece49722
font_01_sfnt_off000132ba.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x132BA 10720 bytes
SHA-256: 2c5f9e0c6bc81bc6e5178f7f2975c72f2fc8bccdeef40bd2879cd198e067c2ad

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