MALICIOUS
206
Risk Score
Malware Insights
MITRE ATT&CK
T1204.002 Malicious File: Malicious File
The PDF contains embedded JavaScript, including calls to eval(), which is a strong indicator of malicious intent. The ML classifier and correlated signals further confirm this, suggesting the JavaScript is designed to exploit vulnerabilities within the PDF reader to execute arbitrary code. No specific family could be identified, but the attack pattern is consistent with known PDF-based exploit delivery.
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 (matched inside decoded stream)
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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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