Malicious PDF — malware analysis report

Static analysis result for SHA-256 3024a1a8a8a0caa5…

MALICIOUS

PDF

65.6 KB Created: 2020-12-15 21:40:37 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-16
MD5: 32f2030f26979362f30c3cfe385c8c24 SHA-1: dac7011945eb138885886bb9abce32fb2965256c SHA-256: 3024a1a8a8a0caa5f2cf6adb5cb0899dc53f4f6d57a351863c01de0de6860ac1
214 Risk Score

Malware Insights

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

The PDF contains a high number of embedded URLs, with critical heuristics identifying it as a malicious redirector link farm. The primary malicious URL identified is traffking.ru, which likely serves as a gateway to further malicious content. The ML classifier and ClamAV detection strongly indicate malicious intent, consistent with phishing or malware distribution.

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/123?utm_term=beedle+the+bard+illustrated In PDF document text
    • https://cdn-cms.f-static.net/uploads/4370057/normal_5f9d362b46803.pdfIn PDF document text
    • https://vawevoza.weebly.com/uploads/1/3/1/4/131482963/4794333.pdfIn PDF document text
    • https://vafumigoku.weebly.com/uploads/1/3/1/3/131384305/nudirusedokenesuwe.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/xezonijida/mid_city_campus.pdfIn PDF document text
    • https://static1.squarespace.com/static/5fbce344be7cfc36344e8aaf/t/5fbcf31cb474932ca266a4ca/1606218524997/weather_in_montego_bay_jamaica_in_august.pdfIn PDF document text
    • https://s3.amazonaws.com/ladojenefe/wojutorekutuvewikerikuk.pdfIn PDF document text
    • https://s3.amazonaws.com/wanalovum/konuwu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/aa63efae-db04-417a-985d-3d3ca493add2/pobuxuw.pdfIn PDF document text
    • https://s3.amazonaws.com/sugaguxagu/clinical_pharmacy_therapeutics_roger_walker.pdfIn PDF document text
    • https://s3.amazonaws.com/ninazarila/wegoxinagimefawazejam.pdfIn PDF document text
    • https://s3.amazonaws.com/ninasivol/trials_of_apollo_book_4_weebly.pdfIn PDF document text
    • https://s3.amazonaws.com/fixararololu/barnet_council_tax_form.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/81b1f7f7-f8e6-4b7b-8a7f-6dd6bc63c9e4/madavomodumumoduwituje.pdfIn PDF document text
    • https://s3.amazonaws.com/tudawufed/anonymous_message_app_snapchat_android.pdfIn PDF document text
    • https://s3.amazonaws.com/susopuzupure/bijafavu.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_off0000b8d6.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xB8D6 2828 bytes
SHA-256: f1383d7cd59a6739427f7596f1165603adacbacc8f657d4e156367611f565abb
font_01_sfnt_off0000c2df.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xC2DF 5100 bytes
SHA-256: ea6660f50617d946b8e67319d8ecb3ae4a75d6fa7f35a08ba8eda43806285ce4
font_02_sfnt_off0000d428.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xD428 10436 bytes
SHA-256: c8c95aed172434a39f0646cef6f3f4a7abb52c3b43a4e46bd95a9f83842775b4

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