PDF malware analysis — malicious · c88897e21b4b103b

MALICIOUS

PDF

29.2 KB

MD5: a4055692e08d5db515c5913758e6477b SHA-1: 719af8a30e1b36913740ade51245d4fe22786859 SHA-256: c88897e21b4b103b8bf313c39526dabc804def61e300e8b80ffd3e0771397309

134 Risk Score

Malware Insights

MITRE ATT&CK

T1204.002 Malicious File: User Execution: Malicious File

The PDF file was flagged as malicious by a machine learning classifier with a very high confidence score. Static analysis detected embedded JavaScript and the use of PDF filters (ASCIIHexDecode, ASCII85Decode) commonly associated with exploit delivery. The presence of correlated malicious JavaScript signals further supports the malicious nature of the document, indicating it likely attempts to execute a secondary payload.

Machine Learning

Nyx PDF Classifier malicious score 1.0000

Heuristics 5

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.
ASCIIHexDecode filter (with exploit indicators) medium PDF_FILTER_HEX

Hex-encoding filter present alongside exploit delivery indicators — often used to hide payload or shellcode bytes
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.
ASCII85Decode filter (with exploit indicators) low PDF_FILTER_85

ASCII85 encoding filter present alongside exploit delivery indicators — uncommon outside of obfuscation

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