PDF malware analysis — malicious · 232b170418c19aa5

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: a44d7a98708ad5750ffe988b913d14e9 SHA-1: d8e8c85bb1dc7d92f5997e6aa9966ff771a2de12 SHA-256: 232b170418c19aa562aaab025c0abd95068a05e081c3417a9f1a6a55876ec760

198 Risk Score

Malware Insights

MITRE ATT&CK

T1059.001 PowerShell T1204.002 Malicious File

The PDF contains JavaScript with eval() calls, strongly indicating an exploit attempt. The ML classifier and correlated malicious JavaScript signals confirm this. The script likely downloads and executes a second-stage payload, as suggested by the exploit cluster firing. The specific payload or download URL could not be reconstructed due to obfuscation.

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.

Open this report in the interactive analyzer, or submit your own file for analysis.