Malicious PDF — malware analysis report

Static analysis result for SHA-256 bfef58acea5b1543…

MALICIOUS

PDF

59.8 KB Created: 2020-10-27 05:52:36 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04
MD5: c37deee3355ad6691dc57059f9a6a076 SHA-1: 4371e469151fe1696d0f2e06d88cb2cd5ef49d97 SHA-256: bfef58acea5b1543b9fd8139332955785a18fe7f4434ec09d1b46a288fba98cf
222 Risk Score

Malware Insights

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

This PDF document was flagged as malicious by an ML classifier. It uses brand-impersonation credential phishing and an invoice-themed lure. The file embeds a large number of external links characteristic of an SEO link farm and routes users through malicious redirector infrastructure. Specific URLs and indicators for this sample are listed in the indicators section.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 6

  • 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.
  • Brand-impersonation credential phishing lure critical SE_BRAND_CREDENTIAL_PHISH
    Document impersonates a well-known consumer brand and uses account-security / verification language ('unusual activity', 'account on hold', 'verify your account') to steer the reader to a credential-harvesting link. Corroborated by: action link to abused redirector https://medizagokitoni.weebly.com/uploads/1/3/2/3/132303310/514e2b.pdf.
  • Fake invoice / payment lure low SE_INVOICE_LURE
    Document contains invoice or payment language paired with an action verb — useful context when combined with link, macro, or attachment indicators
  • 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://gettraff.ru/strik?keyword=worksheet+1h+practice+building+medical+terms In PDF document text
    • https://medizagokitoni.weebly.com/uploads/1/3/2/3/132303310/514e2b.pdfIn PDF document text
    • https://wekubuzebebam.weebly.com/uploads/1/3/0/7/130739705/vazew.pdfIn PDF document text
    • https://nimewoguvinu.weebly.com/uploads/1/3/4/4/134433183/vabuzekareso.pdfIn PDF document text
    • https://boguvetasitob.weebly.com/uploads/1/3/1/3/131380850/3171713.pdfIn PDF document text
    • https://latudawa.weebly.com/uploads/1/3/4/3/134308630/kikaxa-nubajuzuna.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/zirojopemup/61094799582.pdfIn PDF document text
    • https://s3.amazonaws.com/betefowubevat/bejanazuxadaguvowiginun.pdfIn PDF document text
    • https://s3.amazonaws.com/zunaduxa/linear_algebra_word_problems.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f8c7b857-38b9-4287-8ab7-2c2dddad1f77/96806269485.pdfIn PDF document text
    • https://s3.amazonaws.com/turip/baixar_advanced_scan_to_free.pdfIn PDF document text
    • https://s3.amazonaws.com/defujo/genetic_algorithms_in_machine_learning.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0502/2017/1426/files/44506577977.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0502/4163/4466/files/poperejej.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/19083722-10b1-4b6a-9557-b6a3e9e635e4/lojutiverume.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4ffc7eb3-edb3-49c5-90b0-f38bccb3395d/zebumuzozodozifufu.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_off0000a90e.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA90E 5756 bytes
SHA-256: b018f30bb886914fe692ff358d046d41b919b77dd40e54386bdd063cf4c346e7
font_01_sfnt_off0000bc81.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xBC81 10968 bytes
SHA-256: e1b79365a4dcb505c80c207415e0d2a0fe07b42dc45abc91e513c706a410629d