MALICIOUS
108
Risk Score
Malware Insights
The PDF file was flagged as malicious by both ClamAV and an ML classifier. Heuristics indicate the presence of embedded JavaScript, a common technique for executing malicious code within PDF documents. The obfuscated nature of the PDF, suggested by the differential parse failure and ClamAV's detection of an obfuscated object name, points towards an attempt to evade static analysis.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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ClamAV: Heuristics.PDF.ObfuscatedNameObject critical CLAMAV_DETECTIONClamAV detected this file as malware: Heuristics.PDF.ObfuscatedNameObject
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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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PDF differential parser failed info PDF_DIFFERENTIAL_PARSE_FAILEDThe cross-check parser (pdfminer.six) failed on this file: PDF differential parser failed: PSSyntaxError. Static heuristics still ran and any of their findings above are valid; only the differential cross-check signal is missing.
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