Malicious PDF — malware analysis report

Static analysis result for SHA-256 30dcf96787900eb9…

MALICIOUS

PDF

72.8 KB Created: 2021-02-16 16:45:21 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-10
MD5: ba3540bf61fa44386ae1bfe6ff0b43b9 SHA-1: 56ca22f0f7f31e0d2524dead099103b45447900e SHA-256: 30dcf96787900eb9af382d92cf4bb8c9ca121d0ab15b3088c6032e7406ec9989
194 Risk Score

Machine Learning

  • Nyx PDF Classifier malicious score 0.9997

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.
  • Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINK
    PDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
  • 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://yafferge.ru/wix?keyword=poor+judgement+approaching+or+at+intersections+observing In PDF document text
    • https://cdn.sqhk.co/gogojelawov/3jg7jdc/90754596959.pdfIn PDF document text
    • https://cdn.sqhk.co/lebuxexofe/jj2QXif/download_private_tiktok_without_watermark.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4488102/normal_6026c8be06385.pdfIn PDF document text
    • https://cdn.sqhk.co/riragimi/if9yza5/gitofutojagugab.pdfIn PDF document text
    • https://static.s123-cdn-static.com/uploads/4469640/normal_5ffd849abbad7.pdfIn PDF document text
    • https://static.s123-cdn-static.com/uploads/4423780/normal_5feb36360b84b.pdfIn PDF document text
    • http://prizinsta24.site/cordless_phone_with_answering_machine_reviewsemzbt.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/kudefem/21472501796.pdfIn PDF document text
    • https://s3.amazonaws.com/tapexiw/53739983430.pdfIn PDF document text
    • http://lemutuzuvaw.rf.gd/fipubi.pdfIn PDF document text
    • https://s3.amazonaws.com/farowug/lightning_effect_after_effects.pdfIn PDF document text
    • https://s3.amazonaws.com/vazisi/44415489680.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_off0000dd64.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xDD64 5732 bytes
SHA-256: 580fa6ac10b9529e81e37f0113396c2e6b87b9bd98bddb199252385c21ccdd1e
font_01_sfnt_off0000f0bc.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xF0BC 10828 bytes
SHA-256: c3440b67e72897ab207aac973d2e0d6ab4d69861cdc66a15bb3caceed16fdc4f

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