Malicious PDF — malware analysis report

Static analysis result for SHA-256 8b69763528ac39c1…

MALICIOUS

PDF

4.4 KB Created: 2010-06-16 08:34:22 Authoring application: Amyuni PDF Creator (via Amyuni PDF Converter version 2.50f)
MD5: 79a03fcb64c2d894b973475eae5627cf SHA-1: 00f3d219743bf0ed485202563f38f94eb962a1cc SHA-256: 8b69763528ac39c1c1bd771b9b1f7ba649f513631876b4b90185d45191d8556e
198 Risk Score

Malware Insights

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

The PDF file contains embedded JavaScript, which is flagged as malicious by multiple heuristics including PDF_JAVASCRIPT, PDF_EVAL, and PDF_JS_EXPLOIT_CLUSTER. The ML classifier also strongly indicates maliciousness. The JavaScript likely attempts to exploit a vulnerability within the PDF reader to execute a payload. The document body content is not directly indicative of a specific lure, but the technical indicators point to a drive-by download or exploit delivery mechanism.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9997

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.
  • 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.