Malicious PDF — malware analysis report

Static analysis result for SHA-256 265d92be7c66ebed…

MALICIOUS

PDF

9.8 KB
MD5: 302eef2fe54eca21484948a4b1338ee0 SHA-1: d908c04b561c3ac97ca1e20d73c88ffc1e17b69d SHA-256: 265d92be7c66ebed40ccfc7831deea3e0e4f51c4f648e3b5e4a15111160041b6
108 Risk Score

Malware Insights

MITRE ATT&CK
T1059.001 PowerShell T1204.002 Malicious Link

The PDF file was flagged as malicious by a machine learning classifier and ClamAV with the signature Heuristics.PDF.ObfuscatedNameObject, indicating obfuscated content. Embedded JavaScript actions and streams were detected, suggesting an attempt to execute malicious code. The primary attack pattern involves exploiting PDF vulnerabilities via JavaScript to deliver a payload.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9563

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.