Malicious PDF — malware analysis report

Static analysis result for SHA-256 4fdd735b979cca77…

MALICIOUS

PDF

212.5 KB Created: 2021-02-27 09:31:17 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-23
MD5: f649ea139b306c344a116232c3eaa8f3 SHA-1: 533c381e8b81208e1e24d143068c9f35abd622d5 SHA-256: 4fdd735b979cca770149eacf70970e9565c12b9a4a2a8948d0345ae94530dfdb
162 Risk Score

Malware Insights

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

The PDF was flagged by multiple heuristics, including a critical finding for linking to known malicious redirector infrastructure. The ML classifier also strongly indicated maliciousness. While no scripts were explicitly extracted, the PDF structure and embedded URLs suggest it is designed to lure users to malicious websites, likely for phishing or malware distribution. The presence of urgency language further supports a phishing pretext.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9984

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.
  • Urgency / deadline lure low SE_URGENCY_LURE
    Document contains urgency or deadline language ('account will be terminated', 'action required within 24 hours', etc.) — useful context, but low-signal without other findings
  • 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://crophysi.ru/strik?utm_term=cirque+du+freak+book+7+pdf In PDF document text
    • https://mefifusefom.weebly.com/uploads/1/3/4/2/134266023/5864602.pdfIn PDF document text
    • https://cdn.sqhk.co/xewasejeve/crgiida/97458001492.pdfIn PDF document text
    • https://cdn.sqhk.co/vawapisoxe/wuBdgic/ruzakolevewanedoz.pdfIn PDF document text
    • https://cdn.sqhk.co/linidivez/Qjj6idy/fuseritegigaguwezaxozi.pdfIn PDF document text
    • https://zasevolonuto.weebly.com/uploads/1/3/5/3/135335071/5856218.pdfIn PDF document text
    • https://figagukedeliv.weebly.com/uploads/1/3/4/0/134040575/8ac2348cb6.pdfIn PDF document text
    • http://zonizubiro.getenjoyment.net/viwixojuvoz.pdfIn PDF document text
    • http://bestrongbyg.com/72231160639yode8.pdfIn PDF document text
    • https://gamevuwi.weebly.com/uploads/1/3/4/5/134525912/gafeladekamoli.pdfIn PDF document text
    • https://cdn.sqhk.co/baluwofuk/6GPjw5c/bovigovaduguza.pdfIn PDF document text
    • http://particulier-societegenerale.xyz/bams_cch_full_formsmq4t.pdfIn PDF document text
    • https://jisixeda.weebly.com/uploads/1/3/1/4/131409884/1562156.pdfIn PDF document text
    • http://xoxuvajes.mywebcommunity.org/lujunanujokojitumuzofoga.pdfIn PDF document text
    • http://woxuruko.medianewsonline.com/nunelanejevevalikesigub.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/zunaduxa/biblia_de_estudio_plenitud_apk.pdfIn PDF document text
    • https://s3.amazonaws.com/widofafane/tell_me_about_yourself_sample_answer.pdfIn PDF document text
    • https://s3.amazonaws.com/xumakomowi/california_dmv_disengagement_report_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_off00030ea8.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x30EA8 5140 bytes
SHA-256: 7dbdc31ea70b974a03a1eca61ea2cc573781da97d828fd880576899eefe04aef
font_01_sfnt_off00032039.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x32039 10608 bytes
SHA-256: 20188f281ddb0b905a387b027b710be49e5ddc1a146ee8790b54d00d46df085d

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