Malicious PDF — malware analysis report

Static analysis result for SHA-256 fc457278a1c0ca3a…

MALICIOUS

PDF

72.1 KB Created: 2020-11-21 10:48:38 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-26
MD5: 381300cf2c466e5d974a4a694a9a1feb SHA-1: 190e95c40d086303a111fb61664f1406837fb999 SHA-256: fc457278a1c0ca3a1732a4df969d45b657a10b455d28fffb19e89f1de2ac603b
214 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1204.002 Malicious Link

The PDF contains a significant number of embedded links, identified as a link farm, directing users to potentially malicious infrastructure. The heuristic 'PDF_MALICIOUS_REDIRECTOR_LINK' specifically flags a link to 'traffking.ru', indicating a redirection to malicious content. The ML classifier and ClamAV detection further support the malicious nature of this document, likely used as a phishing lure.

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://traffking.ru/123?utm_term=aristotle+nicomachean+ethics+summary+book+5 In PDF document text
    • https://cdn-cms.f-static.net/uploads/4366348/normal_5fa219a69ebf5.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369187/normal_5f9ab4cc3e1a6.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365583/normal_5f9da965af42b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4465556/normal_5fa93dd001b18.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366312/normal_5f8dfaeab5190.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4468819/normal_5fa93918d3f01.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4371003/normal_5f962f9e7d91c.pdfIn PDF document text
    • https://vowimusu.weebly.com/uploads/1/3/4/6/134655535/8553795.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4380863/normal_5fa0c8e52134c.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366666/normal_5f93354b13830.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4445334/normal_5fa3aacede88e.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4413458/normal_5fa86f9632823.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4445104/normal_5f9cd0e576f23.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/kitakilesa/sasovepepuwefinepivuga.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/243be0d4-a60e-4f66-bf84-0c00542d2868/sistemas_conalep_edu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c14f01d9-2fdc-48e0-8d38-5f901a393d11/solution_manual_derivatives_markets_mcdonald.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_off0000ce97.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xCE97 5340 bytes
SHA-256: 7c6474db2587b603402310ec2d1b4b1b4579632badb2a46c1a8b8e39865ba159
font_01_sfnt_off0000e093.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xE093 10876 bytes
SHA-256: ed2f627fe26f0198f9e17ba9c1fdf22063e0aee5e4aa0d908d588a79fa4bd05c
font_02_sfnt_off0001056d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x1056D 4324 bytes
SHA-256: d1f4a20f0e35a0564be54678b929bb8c711862c507f070c2b9a6abea8daf4378

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