Malicious PDF — malware analysis report

Static analysis result for SHA-256 4a2e9d3b0d475464…

MALICIOUS

PDF

33.7 KB
MD5: ce8d422a39fdb4bdf5d4521b1091b8f9 SHA-1: 772ec5d01678881a4850355708da162d2ff2b482 SHA-256: 4a2e9d3b0d47546460683e6b508e0623fa06ef05b2556ef748767e3ba00171e7
134 Risk Score

Malware Insights

MITRE ATT&CK
T1059.001 Command and Scripting Interpreter: PowerShell T1204.002 Malicious File: User Execution: Malicious File

The PDF file was flagged as malicious by a machine learning classifier and exhibits multiple indicators of malicious JavaScript. The presence of PDF_JAVASCRIPT, PDF_JS, and PDF_FILTER_HEX/85 filters suggests the execution of embedded scripts. These scripts are likely responsible for exploiting vulnerabilities or delivering a secondary payload, contributing to the overall malicious nature of the document.

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