Malicious PDF — malware analysis report

Static analysis result for SHA-256 e912d16e20b1fd49…

MALICIOUS

PDF

12.2 KB
MD5: d6e428b54712edee48759019d589231b SHA-1: ca3a7461717088cda8f9da447a92c521b47126f3 SHA-256: e912d16e20b1fd49a2705f9de3200ecfec13d5440f463cb6f3caf791b1b04df1
108 Risk Score

Malware Insights

The PDF file was flagged as malicious by both ClamAV and an ML classifier. Heuristics indicate the presence of embedded JavaScript, a common technique for executing malicious code within PDF documents. The specific ClamAV detection 'Heuristics.PDF.ObfuscatedNameObject' suggests obfuscation techniques were used to hide malicious content.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • ClamAV: Heuristics.PDF.ObfuscatedNameObject critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Heuristics.PDF.ObfuscatedNameObject
  • JavaScript action low PDF_JAVASCRIPT
    PDF contains a /JavaScript action. Generic JavaScript is common in benign forms; specific dangerous APIs are scored by separate rules.
  • Embedded JS stream low PDF_JS
    PDF references a /JS stream. Generic JavaScript is common in benign forms; specific dangerous APIs are scored by separate rules.
  • PDF differential parser failed info PDF_DIFFERENTIAL_PARSE_FAILED
    The cross-check parser (pdfminer.six) failed on this file: PDF differential parser failed: PSSyntaxError. Static heuristics still ran and any of their findings above are valid; only the differential cross-check signal is missing.