PDF malware analysis — malicious · ccef84b560ef094a

MALICIOUS

PDF

29.3 KB

MD5: 0ad2882b07877e5eb793fe82106fc01a SHA-1: 371b7eaf925526fa1d356b05496a03ce46246aec SHA-256: ccef84b560ef094aa3fe2269370f65e6e660961bb5c1eb5353c0048200f9e266

134 Risk Score

Malware Insights

MITRE ATT&CK

T1204.002 Malicious File: Malicious File

The PDF sample contains embedded JavaScript and utilizes ASCIIHexDecode and ASCII85Decode filters, which are commonly used to obfuscate malicious code within PDF documents. The ML classifier and correlated malicious JavaScript signals strongly indicate malicious intent, likely to exploit a vulnerability and execute a payload. No specific family could be identified.

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

Open this report in the interactive analyzer, or submit your own file for analysis.