Malicious PDF — malware analysis report

Static analysis result for SHA-256 27c8cfde66cf7fa8…

MALICIOUS

PDF

27.0 KB
MD5: 698ce037b9002858c8ba0778b873dcb1 SHA-1: 3bee0fdc324494449a12118379d10607d9edbdc8 SHA-256: 27c8cfde66cf7fa896d8f484e2dc6a4003e582582b21bb44bbbf27c7673d1942
134 Risk Score

Malware Insights

MITRE ATT&CK
T1204.002 Malicious File: Malicious JavaScript

The PDF contains embedded JavaScript, which is flagged as malicious by multiple heuristics including a high-confidence ML classifier. The JavaScript is likely used to exploit a vulnerability within the PDF reader, leading to the execution of malicious code. The presence of ASCIIHexDecode and ASCII85Decode filters further suggests obfuscation techniques commonly used in PDF exploits.

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