Malicious PDF — malware analysis report

Static analysis result for SHA-256 c022d0a37337f6fb…

MALICIOUS

PDF

12.8 KB
MD5: d942e6809dd823b5680757a31ad0a867 SHA-1: fbadd0ff9b726a969d4dbe41719ff4006cc4d15b SHA-256: c022d0a37337f6fb1e026f01a6543b71b6a5c267014108e49a95f589e32548ac
146 Risk Score

Malware Insights

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

The PDF file was flagged as malicious by a machine learning classifier and ClamAV, specifically identified as 'Pdf.Exploit.Dropped-94'. Static analysis revealed embedded JavaScript within the PDF's metadata and a separate JS stream. These JavaScript components are indicative of an exploit stager designed to execute malicious code, likely downloading and running a second-stage payload. The specific exploit and payload are not detailed in the provided evidence, leading to an 'unknown family' classification.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 4

  • ClamAV: Pdf.Exploit.Dropped-94 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Exploit.Dropped-94
  • PDF metadata JavaScript eval stager high PDF_METADATA_EVAL_STAGER
    PDF JavaScript reads document metadata fields such as title, subject, or producer, decodes character data with parseInt/String.fromCharCode style helpers, and evals the recovered stage. This is a high-signal exploit-kit staging pattern.
  • 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.

Extracted artifacts 1

Files carved from inside the sample during analysis.

FilenameKindSourceSize
javascript_obj0076_000.js
72445f67718baad9055b1132ad8b370aeba236e15016306b209abd60c42d0c98
pdf-javascript-stream PDF /JS object 76 at offset 0x313F 331 bytes