Malicious PDF — malware analysis report

Static analysis result for SHA-256 7cad7343358fd31f…

MALICIOUS

PDF

28.2 KB
MD5: 476939bda66cd28c61a384329413d18e SHA-1: 211f2e1f316fc7ae97af20a8dbdce278fb597a14 SHA-256: 7cad7343358fd31f54f20496ae88063b211492b0dceaaaba0fea1a562618997e
102 Risk Score

Malware Insights

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

The file is identified as malicious by multiple engines, including ClamAV and a machine learning classifier, with specific detection for Js.Exploit.HTML-30. The presence of XFA form elements and embedded JavaScript, along with the ML_NYX_PDF_MALICIOUS heuristic, strongly suggests exploitation of a PDF vulnerability. The embedded URL, though seemingly benign, is often used as a lure or part of a multi-stage attack. The obfuscated JavaScript in the document body likely attempts to download and execute a second-stage payload.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • ClamAV: Js.Exploit.HTML-30 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Js.Exploit.HTML-30
  • XFA form low PDF_XFA
    PDF uses XML Forms Architecture — can contain script logic
  • PDF differential parser failed info PDF_DIFFERENTIAL_PARSE_FAILED
    The cross-check parser (pdfminer.six) failed on this file: PDF differential parser failed: PSEOF. Static heuristics still ran and any of their findings above are valid; only the differential cross-check signal is missing.
  • 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://www.xfa.org/schema/xfa-template/2.5/

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