Malicious PDF — malware analysis report

Static analysis result for SHA-256 49fee1e8967cf7d1…

MALICIOUS

PDF

69.7 KB Created: 2020-11-18 17:11:39 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-11-02
MD5: 49f283a8c79f31192c92ae31f473f90c SHA-1: efa9782b7c0d1387878a008c1ff1a30f4c84c990 SHA-256: 49fee1e8967cf7d1189536deebcd2286513ed8affa68770fb982efdad97997b1
214 Risk Score

Malware Insights

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

The PDF contains numerous embedded links, with one critical heuristic identifying a link to known malicious redirector infrastructure (traffine.ru). Another heuristic indicates a large number of external PDF links, suggesting a link farm designed to manipulate search engine results or distribute further malicious content. The ML classifier and ClamAV detection strongly indicate malicious intent, likely related to phishing or malware delivery.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

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://traffine.ru/strik?utm_term=beauty+supply+store+business+plan+pd In PDF document text
    • https://cdn-cms.f-static.net/uploads/4374976/normal_5f8b52d0427dd.pdfIn PDF document text
    • https://besajiti.weebly.com/uploads/1/3/1/8/131856076/pidefi.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4445882/normal_5f9dbca73ad03.pdfIn PDF document text
    • https://lupuxamugegudi.weebly.com/uploads/1/3/4/6/134623484/6654219.pdfIn PDF document text
    • https://jajaleregonu.weebly.com/uploads/1/3/4/2/134235513/a6e9cce7.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://s3.amazonaws.com/megelugik/auditoria_administrativa_benjamin_franklin.pdfIn PDF document text
    • https://s3.amazonaws.com/wiwuxot/hot_cheetos_asteroids_balls_for_sale.pdfIn PDF document text
    • https://s3.amazonaws.com/jazuravazaguz/komipunavo.pdfIn PDF document text
    • https://s3.amazonaws.com/sukobogixe/dumowojadelefajezanoseri.pdfIn PDF document text
    • https://s3.amazonaws.com/sugaguxagu/philippine_standards_on_auditing_401.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/1dcf2451-86d4-43d2-91e0-da6f2b59f74d/pesanudijatupafilobofuno.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/bed9b692-332b-420b-ad96-3fcb1cd1b91f/46179690607.pdfIn PDF document text
    • https://s3.amazonaws.com/zaxuledo/blackboard_learn_utsa_login.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_off0000c832.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xC832 5124 bytes
SHA-256: ae63bf4719114c9f467e60a401950fe90b5ffa1fe29074ba1341bb01531f2d9f
font_01_sfnt_off0000d9a3.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xD9A3 9996 bytes
SHA-256: abb72dc974bff10cef0fb50e1a82b9768788d6b5149c26000cb9790ef5048284
font_02_sfnt_off0000fbcc.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xFBCC 4324 bytes
SHA-256: 4fcfa7c68d76e23b667942a3ac892d2d5d88346478daafc61479ad4df4af3dd3

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