Malicious PDF — malware analysis report

Static analysis result for SHA-256 4e77d6d47bf0a545…

MALICIOUS

PDF

73.3 KB Created: 2020-11-21 01:35:17 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-22
MD5: 65e7b7f6d3409770b850e0c4cf3f6998 SHA-1: 43cb233fd2abc8d1b167b98ac84cb911bf835d5c SHA-256: 4e77d6d47bf0a54582e2156e5cecbc87b651032df2882ffb181e8413d8e0c5e1
214 Risk Score

Malware Insights

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

The PDF contains a large number of embedded links, with at least one pointing to known malicious redirector infrastructure. The ClamAV detection and ML classifier further support its malicious nature. The embedded links likely serve as a lure to phishing sites or malware downloaders, aligning with a spearphishing attachment attack pattern.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9997

Heuristics 5

  • ClamAV: Pdf.Phishing.Trojan-d2528dad23a95d95-d2528dad23a95d95-10044376-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.Trojan-d2528dad23a95d95-d2528dad23a95d95-10044376-0
  • 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://cctraff.ru/aws?utm_term=browserling+com+whatsapp In PDF document text
    • https://cdn-cms.f-static.net/uploads/4387417/normal_5f95f66933e96.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4375352/normal_5fa14affde3b6.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4375528/normal_5fa0932ab2467.pdfIn PDF document text
    • https://wajiresejepo.weebly.com/uploads/1/3/0/7/130774962/fatafanutojor.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4405181/normal_5f93389d7a06b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4425723/normal_5f9ee590db63d.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4485822/normal_5faf75075562b.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/zobuwubedak/36462880268.pdfIn PDF document text
    • https://s3.amazonaws.com/fajeloninesitel/48737941758.pdfIn PDF document text
    • https://s3.amazonaws.com/novifamigot/47994779988.pdfIn PDF document text
    • https://s3.amazonaws.com/buganabowumujef/ruxomunejotoresop.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_off0000e06b.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xE06B 5488 bytes
SHA-256: 6609860035f448ad3e3c812906159f35c0204f309cb2c74290438ef6ff7d3327
font_01_sfnt_off0000f302.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xF302 11468 bytes
SHA-256: 87a04bf495f774ad374f64f36e47d0afccca6976dd4a42fd5288c0612bf42a4e

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