Malicious PDF — malware analysis report

Static analysis result for SHA-256 218c4bda77d579ac…

MALICIOUS

PDF

43.7 KB Created: 2020-04-17 00:01:12 +03:00 Authoring application: wkhtmltopdf 0.12.1.4 (via Qt 4.8.6) First seen: 2020-09-04
MD5: a48a731aca2ea5920e2bfaeee0f70046 SHA-1: 977e66f96e1478db923e7b78b87223cf96dec20d SHA-256: 218c4bda77d579acd7b84fcb02d13d02f3558efe7ac7be0e34a25e03b15aa766
144 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1059.001 PowerShell

The PDF file contains heuristics indicating it is a link farm designed to host multiple malicious PDFs, with one specific URL pointing to an 'Allianz health insurance claim form'. This suggests a phishing or scam lure. The document body, though heavily obfuscated, contains the same URL, reinforcing the intent to direct the user to a potentially harmful external resource. The presence of numerous external links and the invoice/payment lure heuristic strongly suggest a social engineering attack.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9989

Heuristics 6

  • 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.
  • Advance-fee lottery/parcel scam lure high SE_ADVANCE_FEE_SCAM_LURE
    Document contains lottery/beneficiary or prize language together with large-value draft/funds wording and parcel/courier delivery requirements. This is a classic advance-fee fraud document shape.
  • 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
  • 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 http://holanomadas.com/uploads/1/3/1/3/131378991/131378991.html#allianz+health+insurance+claim+form PDF link annotation
    • http://iaservicesinc.net/uploads/1/3/0/2/130288483/f20df.pdfIn PDF document text
    • http://owensoundlaserclinic.com/uploads/1/3/0/8/130813135/lalakomiximutirimo.pdfIn PDF document text
    • http://locototejerky.com/uploads/1/3/0/5/130539225/tetizelelufa.pdfIn PDF document text
    • http://theteaatelier.com/uploads/1/3/0/2/130274281/motugusuwaf.pdfIn PDF document text
    • http://quickfixecig.net/uploads/1/3/1/4/131454190/4741879.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://dejavu.sourceforge.netIn PDF document text
    • http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006d38.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6D38 8516 bytes
SHA-256: 8168f23ef692e84349ba5dd203e393650bb7089ab344a8f48eea1f191cda08af
font_01_sfnt_off00008dcb.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8DCB 16092 bytes
SHA-256: c6c28444bcd94379862b6cc7f8cfcdbcdaeb026857ccdb099d87626a561054a6