MALICIOUS
206
Risk Score
Malware Insights
MITRE ATT&CK
T1204.002 Malicious File: Malicious File
The PDF contains embedded JavaScript with eval() calls, strongly indicating it's designed to exploit vulnerabilities. The ML classifier and correlated malicious JavaScript signals confirm this assessment. The primary attack vector appears to be JavaScript execution within the PDF, likely leading to the download or execution of a secondary payload.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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PDF JavaScript exploit cluster critical PDF_JS_EXPLOIT_CLUSTERPDF 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.
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Correlated malicious PDF JavaScript signals critical PDF_CORRELATED_MALICIOUS_JSPDF 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.
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eval() call high PDF_EVALeval() found — commonly used for obfuscated exploit execution
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JavaScript action low PDF_JAVASCRIPTPDF contains a /JavaScript action. Generic JavaScript is common in benign forms; specific dangerous APIs are scored by separate rules.
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Embedded JS stream low PDF_JSPDF references a /JS stream. Generic JavaScript is common in benign forms; specific dangerous APIs are scored by separate rules.
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