MALICIOUS
142
Risk Score
Malware Insights
MITRE ATT&CK
T1059.001 JavaScript
T1204.002 Malicious JavaScript
The PDF sample triggered multiple heuristics related to JavaScript execution and decoding filters, including a high-confidence ML classifier and critical ClamAV detection. The presence of embedded JavaScript and the use of filters like ASCIIHexDecode and ASCII85Decode strongly indicate an attempt to exploit a PDF vulnerability and execute malicious code. The ML classifier's output of 0.999983 further supports this assessment.
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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