PDF malware analysis — malicious · e217492f7965cbcf

MALICIOUS

PDF

24.2 KB

MD5: 5bbfd88420f3a2756b39426a1fb7bd62 SHA-1: f059653b8f8dc7c5233f6a89fcf49c6d730d187a SHA-256: e217492f7965cbcfc5cd0a89e1b094138b98321dcc112a8f2fb6560568381311

106 Risk Score

Malware Insights

MITRE ATT&CK

T1204.002 Malicious File: Malicious File

The PDF file was flagged as malicious by multiple high-confidence heuristics, including ML classification and correlated malicious JavaScript signals. The embedded JavaScript is likely responsible for executing the malicious payload, a common technique for delivering malware via PDF documents. No specific family could be identified from the available evidence.

Machine Learning

Nyx PDF Classifier malicious score 1.0000

Heuristics 3

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.
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.
Embedded JS stream low PDF_JS

PDF references a /JS stream. Generic JavaScript is common in benign forms; specific dangerous APIs are scored by separate rules.

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