Malicious PDF — malware analysis report

Static analysis result for SHA-256 b10fd69cc73a7155…

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: 5e01523ff0f9186138629aca227bc330 SHA-1: dd813a349b742be5514fd776044da61a7b771efa SHA-256: b10fd69cc73a7155d6f4dd00b70aebfb17fdcf5d449d54567932b64fea896701
198 Risk Score

Malware Insights

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

The PDF contains embedded JavaScript with eval() calls, strongly indicating an exploit attempt. The ML classifier and correlated malicious JavaScript signals confirm this. The JavaScript is likely used to download and execute a second-stage payload, though the exact mechanism is obfuscated. The file's metadata suggests it was created by Amyuni PDF Converter.

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.