PDF malware analysis — malicious · afb9b5a716765dcf

MALICIOUS

PDF

29.7 KB

MD5: 05e4655015d66bd73239adbc54e72d10 SHA-1: e9ca36f6c696b282d93178868fc7f71dfed1227b SHA-256: afb9b5a716765dcfa3ef268405d5d5c566711541c48e7308f88936a076552b04

134 Risk Score

Malware Insights

MITRE ATT&CK

T1204.002 Malicious File: Malicious File

The PDF contains embedded JavaScript, which is a common technique for delivering malicious payloads. The ML classifier and correlated malicious JavaScript signals strongly indicate malicious intent. The use of ASCIIHexDecode and ASCII85Decode filters further supports the presence of obfuscated malicious content. The primary attack vector appears to be the execution of embedded JavaScript, likely to download and execute a second-stage 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

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