Malicious PDF — malware analysis report

Static analysis result for SHA-256 a20ca2127c460918…

MALICIOUS

PDF

27.1 KB
MD5: eed6e5e808789ef6416cbfa341aa2f25 SHA-1: de3c6062e208e607115214cc8fd3cceed2d6ab51 SHA-256: a20ca2127c46091803183d242b42c524cda91024fff77612cd437e6b4f2fe940
74 Risk Score

Malware Insights

MITRE ATT&CK
T1059.001 PowerShell T1204.002 Malicious File

The PDF sample contains embedded JavaScript and utilizes ASCIIHexDecode and ASCII85Decode filters, which are often used to obfuscate malicious code within PDF documents. The ML classifier strongly indicates malicious intent. The embedded JavaScript is likely responsible for exploiting a vulnerability to execute further malicious actions, such as downloading a second-stage payload.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • 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