Malicious PDF — malware analysis report

Static analysis result for SHA-256 f6112d7566184a6f…

MALICIOUS

PDF

4.7 KB Created: 2010-06-16 08:34:22 Authoring application: Amyuni PDF Creator (via Amyuni PDF Converter version 2.50f)
MD5: 1894d2b82ef9c1950b027b9b744a6393 SHA-1: ab5dc46eb4ae9b44c84b813c0b30e2916b5ac134 SHA-256: f6112d7566184a6fddf9d63ed1adaf2ca2d9bd932853ab39eb8a9d4e89ed77d3
198 Risk Score

Malware Insights

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

The PDF file contains JavaScript actions and triggers critical heuristics related to PDF JavaScript exploits, including unescape() calls. The ML classifier also flagged it as malicious with high confidence. These signals indicate the PDF is designed to execute malicious JavaScript, likely to download and execute a second-stage payload. No specific family could be identified.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9991

Heuristics 4

  • PDF JavaScript exploit cluster critical PDF_JS_EXPLOIT_CLUSTER
    PDF combines an executable JavaScript/action surface with exploit staging indicators such as eval/unescape/fromCharCode, XFA script content, or a related CVE pattern. Benign form JavaScript remains low-severity, but this correlated cluster is high-confidence malicious behavior.
  • 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.
  • unescape() call high PDF_UNESCAPE
    unescape() found — often used to decode shellcode in PDF JS exploits
  • 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.