Malicious PDF — malware analysis report

Static analysis result for SHA-256 06b829a05e3f83f3…

MALICIOUS

PDF

4.8 KB Created: 2010-06-16 08:34:22 Authoring application: Amyuni PDF Creator (via Amyuni PDF Converter version 2.50f)
MD5: e3518b985922d063161439f2e26c17ca SHA-1: 0852836c2a070d36f1e18f7490bf803fcf1ba41b SHA-256: 06b829a05e3f83f36d90b026786a30659cce959b83b5a66e2157eaa41f0f593a
138 Risk Score

Malware Insights

MITRE ATT&CK
T1059.007 JavaScript T1203 Exploitation for Client Execution T1566.001 Spearphishing Attachment

The PDF sample contains JavaScript that triggers an exploit, indicated by the PDF_JAVASCRIPT, PDF_EVAL, and PDF_JS_EXPLOIT_CLUSTER heuristics. The ML classifier also strongly suggests maliciousness. The JavaScript's purpose is likely to download and execute a secondary payload, a common technique for initial compromise. No specific family could be identified.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9997

Heuristics 3

  • 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.
  • eval() call high PDF_EVAL
    eval() found — commonly used for obfuscated exploit execution
  • 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.