MALICIOUS
142
Risk Score
Malware Insights
MITRE ATT&CK
T1059.001 JavaScript
T1204.002 Malicious File
The PDF file was flagged by a machine learning classifier and ClamAV as malicious, specifically detecting an exploit. Heuristics indicate the presence of embedded JavaScript, including the use of `String.fromCharCode` and various decoding filters (ASCIIHexDecode, ASCII85Decode), which are common techniques for obfuscating malicious code within PDF documents. The ML classifier's high confidence score and the ClamAV detection strongly suggest this PDF is designed to exploit a vulnerability and likely download a secondary payload.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 6
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ClamAV: Pdf.Exploit.Agent-36178 critical CLAMAV_DETECTIONClamAV detected this file as malware: Pdf.Exploit.Agent-36178
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ASCIIHexDecode filter (with exploit indicators) medium PDF_FILTER_HEXHex-encoding filter present alongside exploit delivery indicators — often used to hide payload or shellcode bytes
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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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String.fromCharCode low PDF_FROMCHARCODEString.fromCharCode found — used to construct payload strings dynamically. Common in benign JavaScript libraries for codepoint manipulation, so this alone is informational; weaponised use is also caught by the dedicated fromCharCode-stage and exploit-shape rules. (matched inside decoded stream)
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ASCII85Decode filter (with exploit indicators) low PDF_FILTER_85ASCII85 encoding filter present alongside exploit delivery indicators — uncommon outside of obfuscation
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