Malicious PDF — malware analysis report

Static analysis result for SHA-256 4861118da6cc50bd…

MALICIOUS

PDF

1.6 KB Created: 2008-31-20 53:85:00 Authoring application: Scribus 1.3.3.12 (via Scribus PDF Library 1.3.3.12)
MD5: 398868e75d7ab74ea3acd1bd752c6bb2 SHA-1: c9fbd6701d6cf537da9b0dc5cf424e06eeb9ef8c SHA-256: 4861118da6cc50bd0a51b76bdbb9424fc461ea4857e7c8df01a5fda76aaedcf4
106 Risk Score

Malware Insights

MITRE ATT&CK
T1204.002 Malicious File: Malicious File

The PDF file was flagged as malicious by a machine learning classifier with a high degree of confidence. Static analysis revealed embedded JavaScript, which is often used to exploit vulnerabilities in PDF readers or to download and execute further payloads. The critical heuristic 'PDF_CORRELATED_MALICIOUS_JS' strongly indicates that the JavaScript is intended for malicious purposes.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 3

  • Correlated malicious PDF JavaScript signals critical PDF_CORRELATED_MALICIOUS_JS
    PDF JavaScript or auto-action content is corroborated by exploit staging, ML, or suspicious extracted-artifact findings. This correlation promotes old exploit-kit PDFs that otherwise remain in the suspicious band because each individual signal is intentionally weighted conservatively.
  • 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.