Malicious PDF — malware analysis report

Static analysis result for SHA-256 69659135b66695ad…

MALICIOUS

PDF

59.6 KB Created: 2020-11-08 22:19:33 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-03-01
MD5: b80c3e7fec2bbdfee010cc341180ef6f SHA-1: 6425cb32e2fa88208d3a313abe6d047fda124025 SHA-256: 69659135b66695ad1e263cbae87e89a700e301fe513014a38e9d44e135e2e379
192 Risk Score

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.
  • 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://genigudepa.weebly.com/uploads/1/3/1/0/131070712/ff06dfdf.pdf.
  • 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.
  • 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://traffking.ru/aws?keyword=are+there+fees+with+vivid+seats In PDF document text
    • https://genigudepa.weebly.com/uploads/1/3/1/0/131070712/ff06dfdf.pdfIn PDF document text
    • https://mevamakokuvafas.weebly.com/uploads/1/3/4/0/134040887/werezi.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://vigaxija.files.wordpress.com/2020/11/48743680331.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f8071f81-49db-4f2b-a527-9a16b0d8623a/72792688605.pdfIn PDF document text
    • https://fazojikimugu656942302.files.wordpress.com/2020/11/pomogugatogifelina.pdfIn PDF document text
    • https://worejuz.files.wordpress.com/2020/11/26129875160.pdfIn PDF document text
    • https://tawidoxup.files.wordpress.com/2020/11/16942516864.pdfIn PDF document text
    • https://vedipepemani.files.wordpress.com/2020/11/68779198743.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2ee17401-5cdf-4b97-9924-a792d1ae2dd7/87668167434.pdfIn PDF document text
    • https://lamokiwinube.files.wordpress.com/2020/11/waselo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/dfd50ae0-9ef9-48e3-81e9-5ea6ff2c59ac/robuzojopofujajapapubine.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6b580d00-c191-4dc5-9c7c-16b0eb311bd2/the_coding_manual_for_qualitative_researchers.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4c2e36f5-d28c-4d5d-a2f0-9508e9f18f21/sivojakutinulava.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_off00009e3d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x9E3D 4676 bytes
SHA-256: 35c7c5cd971a524c3934410b0fcf562b32397723ebe956b8b8630e8754436a31
font_01_sfnt_off0000ae42.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xAE42 10820 bytes
SHA-256: 83e4a80760b46210f6ee989ff8fa01ce77ae829ed6627111bc305012d45bb114
font_02_sfnt_off0000d31c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xD31C 4324 bytes
SHA-256: d1f4a20f0e35a0564be54678b929bb8c711862c507f070c2b9a6abea8daf4378