Malicious PDF — malware analysis report

Static analysis result for SHA-256 e099cffb766fe428…

MALICIOUS

PDF

42.9 KB Created: 2020-11-06 07:55:14 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04
MD5: 4515dccb0fc23b43616921726a5d7947 SHA-1: 96b553216c90376a48b9ccf63b9e0d5ab3f77028 SHA-256: e099cffb766fe42889aa98be3f0419e08e1af52f33f344280b9e8ea77aa210f9
84 Risk Score
Tags
free-cdn-ebook-manual-lure

Malware Insights

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

The PDF document contains an embedded URL that promises a "hack whatsapp sniffer" tool, which is a common lure for phishing or malware distribution. The ML classifier strongly flagged this PDF as malicious, and the document body, though partially corrupted, contains the same suspicious URL. The presence of urgency language and a password archive lure further support a malicious intent, likely to trick users into downloading a payload.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 5

  • Password-protected archive handoff high SE_PASSWORD_ARCHIVE_LURE
    Document gives password instructions for an archive or attachment — often used to keep payloads encrypted until after gateway scanning
  • 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
  • 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://traffset.ru/123?keyword=hack+whatsapp+sniffer PDF link annotation
    • https://cdn-cms.f-static.net/uploads/4417312/normal_5f9cf941c48d9.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4404984/normal_5f9690d86c4d4.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/zuxadol/dufego.pdfIn PDF document text
    • https://s3.amazonaws.com/fedufiporara/south_carolina_notary_public_reference_manual.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f7354983-7c9a-4e90-b602-1be20fdfbacd/jitezoj.pdfIn PDF document text
    • https://s3.amazonaws.com/kexamoxusinixu/gutidukiribakera.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f904452a-eb4f-4636-ba4d-252512dedaf9/25824571844.pdfIn PDF document text
    • https://s3.amazonaws.com/xumakomowi/learning_american_english_conversation.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/154b5d92-aa35-4290-b6a7-48e4ee06de87/binomial_probability_table_n9.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/27a9e36f-a4e1-4699-a972-58ef52c0d52a/mrs_funnybones_free_download.pdfIn PDF document text
    • https://s3.amazonaws.com/xezonijida/kaufland_letk_pt_tden.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_off00006b12.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6B12 5188 bytes
SHA-256: 3774bf8d8a669d4087badee70efab040ebae6b016669faac67a9feea7ec723f0
font_01_sfnt_off00007cc4.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7CC4 9996 bytes
SHA-256: 4563eb088c1914933d35eeb79deaf718eaad491f926aad013f8af4a4788eac63

Open this report in the interactive analyzer, or submit your own file for analysis.