MALICIOUS
206
Risk Score
Malware Insights
MITRE ATT&CK
T1204.002 User Execution: Malicious File
The PDF file contains embedded JavaScript, which is further indicated by multiple heuristic firings including 'PDF_JAVASCRIPT', 'PDF_JS', and 'PDF_EVAL'. The 'PDF_JS_EXPLOIT_CLUSTER' and 'PDF_CORRELATED_MALICIOUS_JS' heuristics strongly suggest that this JavaScript is designed to exploit vulnerabilities within the PDF reader. The ML classifier also confirms the malicious nature of the file with a high probability. The exact exploit mechanism is not detailed, but the presence of eval() points to dynamic code execution.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
-
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.
-
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.
-
eval() call high PDF_EVALeval() found — commonly used for obfuscated exploit execution (matched inside decoded stream)
-
JavaScript action low PDF_JAVASCRIPTPDF contains a /JavaScript action. Generic JavaScript is common in benign forms; specific dangerous APIs are scored by separate rules.
-
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.
Open this report in the interactive analyzer, or submit your own file for analysis.