Malicious PDF — malware analysis report

Static analysis result for SHA-256 ffcaa69b7f8466f7…

MALICIOUS

PDF

73.5 KB Created: 2020-12-26 13:34:28 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-17
MD5: 712e11b5d956bfedc48ff58365ae8dd7 SHA-1: 7cdbfd67162864bfdec1e4afce92cd9981663532 SHA-256: ffcaa69b7f8466f7f8464cccd7155688c494d9620fde8c8746dd242a04c8e13e
126 Risk Score
Tags
free-cdn-ebook-manual-lure

Malware Insights

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

The PDF document was flagged by multiple heuristics, including a critical ClamAV detection and an ML classifier, indicating malicious intent. It contains numerous external links, suggesting a phishing or link-farming scheme, and the document body's reference to 'Whatsapp app 2018 in jio phone' is likely a lure to attract clicks. No scripts were extracted, but the PDF structure itself facilitates the redirection to malicious URLs.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9960

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
  • Small PDF is a non-clustered link farm on disposable hosting medium PDF_SEO_DISPOSABLE_LINK_FARM
    Small PDF contains many clickable external PDF links spread thin across many distinct hosts (no single dominant host), corroborated by a utm_term SEO-redirector link and/or links parked on free/disposable content hosts. This is the 'free document/template' SEO phishing PDF family, which ranks for search queries and routes users into payload/redirect chains, rather than a normal document citation pattern. The PDF itself carries no exploit — the risk is the linked destinations.
  • External URI info PDF_URI
    PDF contains an external URL action
  • 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=whatsapp+app++2018+in+jio+phone PDF link annotation
    • https://luwobidope.weebly.com/uploads/1/3/0/8/130814225/tebasalogezis.pdfIn PDF document text
    • https://wuvotawek.weebly.com/uploads/1/3/4/8/134872633/foxexebibaru-wabaworakekito.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4387036/normal_5f9536ad6b95a.pdfIn PDF document text
    • https://cdn.sqhk.co/vowibesep/hcc1rph/70660921630.pdfIn PDF document text
    • https://static.s123-cdn-static.com/uploads/4480755/normal_5fc8829c09618.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4469841/normal_5fe6712350fc5.pdfIn PDF document text
    • https://gumelajijepepa.weebly.com/uploads/1/3/4/6/134639918/076f54e21.pdfIn PDF document text
    • https://tudaluvakagovax.weebly.com/uploads/1/3/4/6/134614365/wozutagepe.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/fadobirak/bozafimukojuragi.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_off0000d753.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xD753 5388 bytes
SHA-256: 0971961fc13726a9914472d926a2d76e35021507959d319d0df6cc803a364cd4
font_01_sfnt_off0000e9b4.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xE9B4 1936 bytes
SHA-256: 19d579821e83c32cd478aefcb57f849508ece8625c42f2108810477b29a00d2f
font_02_sfnt_off0000f2fa.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xF2FA 11160 bytes
SHA-256: e9d4253b5a328dd3506e0bca08090bd6c8cf218c50075a7d363ffb6cf4717643

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