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CVE-2026-34621_PDF_SAMPLE — Technical analysis of a multi-stage Adobe Acrobat PDF JavaScript sample, detailing environment triage, Acrobat API abuse, and in-memory payload decryption and execution for defensive research. | Kitploit
Tools/GitHubGitHub/ercihan/cve-2026-34621_pdf_sample
Vulnerability AnalysisExploitationReverse EngineeringMalware AnalysisDigital Forensics
GitHubercihan/cve-2026-34621_pdf_sample

CVE-2026-34621_PDF_SAMPLE

Technical analysis of a multi-stage Adobe Acrobat PDF JavaScript sample, detailing environment triage, Acrobat API abuse, and in-memory payload decryption and execution for defensive research.

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175 months agoNot yet reviewed

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Technical Analysis of a Multi-Stage Adobe Acrobat PDF JavaScript Sample

Overview

This repository publishes a code-centric reverse-engineering write-up on a malicious PDF sample that embeds staged Adobe Acrobat JavaScript. The analyzed sample uses a hidden form field as its initial loader, reconstructs a second-stage JavaScript body through Acrobat stream decoding, performs environment triage and Acrobat-specific interface abuse, establishes network-backed staging, and finally decrypts, decompresses, and executes a deferred third-stage payload. The goal of this repository is defensive analysis and documentation. The focus is on observable behavior, recovered code structure, and attack-chain reconstruction.

Key Findings

  • The PDF contains an embedded Stage-1 launcher stored in a hidden form field (Btn1).
  • The recovered Stage-2 JavaScript disables optional content groups to reduce visual indicators.
  • The sample builds its own privileged execution wrappers around Acrobat APIs such as app.beginPriv() and app.endPriv().
  • It performs target triage, including:
    • viewerVersion
  • viewerType
  • platform
  • filesystem-based OS inference
  • PE-header parsing to detect x64 Reader
  • It sets up exploit-oriented primitives involving crafted getters and Acrobat-native interfaces such as ANShareFile(...) and ANFancyAlertImpl(...).
  • It constructs telemetry-rich beacon URLs for a hardcoded remote endpoint and uses RSS JavaScript feeds as part of its staging flow.
  • The final visible loader path is explicit:
    • hex-decode bird1
    • AES-CTR decrypt
    • DEFLATE inflate
    • store as global.final_js
    • execute via deferred eval(...)
  • Attack Chain Summary

    1. PDF JavaScript reads hidden field Btn1
    2. Stage-1 decodes and schedules Stage-2
    3. Stage-2 initializes obfuscated logic and hides OCG layers
    4. Target environment is fingerprinted
    5. Acrobat-native exploit-oriented setup is attempted
    6. Telemetry and staging channels are prepared
    7. The script polls for runtime-populated payload material
    8. Encrypted content is decrypted and decompressed in memory
    9. A third-stage JavaScript payload is executed through setTimeOut

    Why This Sample Matters

    The sample is significant because it is not a simple static PDF with embedded script fragments. It behaves like a structured multi-stage loader that:

    • qualifies the target environment
    • abuses Acrobat-specific privileged functionality
    • prepares later payload delivery
    • reconstructs follow-up code entirely in memory

    That combination makes it relevant both for PDF malware analysis and for studying Acrobat JavaScript trust and staging behavior.

    Write-Up

    The Write-Up can be found here.

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