Malicious PDF — malware analysis report

Static analysis result for SHA-256 e0f72b9c40e91301…

MALICIOUS

PDF

71.9 KB Created: 2021-01-01 10:41:43 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-26
MD5: 910e0e039c6fda9472fa1b19f62d8924 SHA-1: 80e697c1ad6100194991c8d24d0da6c0b73b9051 SHA-256: e0f72b9c40e91301c4d0942a5888a2edb8a0eb038fa89f7397875eae0734c7be
214 Risk Score

Malware Insights

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

This PDF file was identified as malicious by ClamAV and an ML classifier. It contains numerous embedded links, with at least one pointing to known malicious redirector infrastructure at 'traffking.ru'. The document body, though heavily obfuscated, appears to contain metadata related to software installations, potentially serving as a lure.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

Heuristics 5

  • ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
  • 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/aws?utm_term=java+8+for+ubuntu+12.+04 In PDF document text
    • https://cdn-cms.f-static.net/uploads/4490269/normal_5fb443181e31f.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4409417/normal_5fa5d9398347e.pdfIn PDF document text
    • https://joxetoxuluf.weebly.com/uploads/1/3/4/3/134391367/34c7a8d.pdfIn PDF document text
    • https://bubixoduxufito.weebly.com/uploads/1/3/1/0/131070588/teromot.pdfIn PDF document text
    • https://static.s123-cdn-static.com/uploads/4393893/normal_5fc3e47b29ea4.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4487897/normal_5fba6738070bb.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/dojivewobasuval/baratza_virtuoso_repair_manual.pdfIn PDF document text
    • https://s3.amazonaws.com/wexukufedepim/online_home_design_software_free.pdfIn PDF document text
    • https://s3.amazonaws.com/guvovigo/importance_of_effective_communication_in_the_classroom.pdfIn PDF document text
    • https://s3.amazonaws.com/gulapore/lapurogimirokuginibunobi.pdfIn PDF document text
    • https://s3.amazonaws.com/jojitagifuva/29297935465.pdfIn PDF document text
    • https://s3.amazonaws.com/kewakuko/574908841.pdfIn PDF document text
    • https://s3.amazonaws.com/dowadotiju/osrs_ardougne_achievement_diary_guide.pdfIn PDF document text
    • https://s3.amazonaws.com/fezenur/69245964626.pdfIn PDF document text
    • https://s3.amazonaws.com/tupofelasujewas/57785664551.pdfIn PDF document text
    • https://s3.amazonaws.com/kosipefojaw/kentucky_dot_hazmat_and_tanker_study_guides.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_off0000da80.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xDA80 5380 bytes
SHA-256: beb443d0752c0ca9f5800c73ddf098b8771cb1c39d80f07fe4e44fa8775a7966
font_01_sfnt_off0000ecfb.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xECFB 11056 bytes
SHA-256: a9bee67de1f72299dc24232b45be4e877d60bd983b7d2fe70172f5b7fe8ff3a1

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