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Vulnerability Database/CVE-2026-30310

CVE-2026-30310: Sixth Terminal Command Execution RCE Flaw

CVE-2026-30310 is a remote code execution vulnerability in Sixth terminal that enables prompt injection attacks to bypass safety checks and execute malicious commands. This article covers technical details, impact, and mitigation.

Published:

CVE-2026-30310 Overview

CVE-2026-30310 is a critical command injection vulnerability in Sixth, an AI-powered terminal automation tool. The vulnerability exists in the "Execute safe commands" feature, which is designed to automatically execute commands that the AI model determines to be safe while requiring user approval for potentially destructive commands. However, this safety mechanism is highly susceptible to prompt injection attacks, allowing attackers to craft malicious commands wrapped in generic templates that mislead the AI model into misclassifying them as safe, effectively bypassing user approval and enabling arbitrary command execution.

Critical Impact

Attackers can leverage prompt injection techniques to bypass Sixth's safety classification mechanism, enabling arbitrary command execution without user approval on systems running the affected software.

Affected Products

  • Sixth AI Terminal Automation Tool

Discovery Timeline

  • 2026-03-31 - CVE CVE-2026-30310 published to NVD
  • 2026-04-01 - Last updated in NVD database

Technical Details for CVE-2026-30310

Vulnerability Analysis

This vulnerability represents a fundamental design flaw in AI-driven security decision-making. Sixth implements a dual-mode command execution system: "Execute safe commands" for automatic execution and "Execute all commands" for unrestricted operation. The "Execute safe commands" mode relies on the underlying language model to classify commands as either safe or potentially destructive before execution.

The core weakness lies in the model's susceptibility to prompt injection attacks. The AI's classification logic can be manipulated through carefully crafted input that exploits the model's contextual interpretation capabilities. By wrapping malicious commands within templates that appear benign or by using semantic manipulation techniques, an attacker can cause the model to misinterpret destructive commands as safe operations.

This vulnerability is classified under CWE-77 (Improper Neutralization of Special Elements used in a Command), as the system fails to properly validate and neutralize command inputs before execution decisions are made.

Root Cause

The root cause stems from an over-reliance on AI model judgment for security-critical decisions without implementing proper command validation safeguards. The language model lacks robust adversarial training against prompt injection techniques, and there is no secondary verification layer to catch misclassified commands before execution. The design assumes the AI model can reliably distinguish between safe and dangerous commands, which proves invalid when confronted with deliberately obfuscated or manipulated inputs.

Attack Vector

The attack vector is network-based and requires no authentication or user interaction. An attacker can craft specially designed prompts that wrap malicious commands in templates designed to exploit the AI model's classification logic. These templates may include:

  1. Semantic camouflage: Wrapping destructive commands in seemingly innocuous descriptions or contexts that cause the model to classify them as safe
  2. Context manipulation: Providing misleading context that shifts the model's interpretation of command intent
  3. Instruction injection: Embedding instructions within the command payload that direct the model to classify the command as safe regardless of its actual nature

The exploitation technique leverages the fundamental challenge of using language models for security enforcement, where the model's natural language understanding can be weaponized against its safety classification function.

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Detection Methods for CVE-2026-30310

Indicators of Compromise

  • Unusual command execution patterns originating from the Sixth application
  • Presence of obfuscated or encoded command strings in Sixth logs
  • Unexpected system modifications or file changes following Sixth terminal sessions
  • Commands executed with elevated privileges without corresponding user approval records

Detection Strategies

  • Implement command auditing to log all commands executed through Sixth, including their classification decisions
  • Monitor for known prompt injection patterns in command inputs
  • Deploy behavioral analysis to detect anomalous command sequences that deviate from normal user patterns
  • Establish baseline profiles for expected Sixth command execution behavior and alert on deviations

Monitoring Recommendations

  • Enable verbose logging for all Sixth terminal command execution events
  • Configure SIEM integration to correlate Sixth execution logs with system-level command audit trails
  • Implement real-time alerting for commands that access sensitive system resources or configurations
  • Monitor for commands that appear safe but result in system modifications typically associated with destructive operations

How to Mitigate CVE-2026-30310

Immediate Actions Required

  • Disable the "Execute safe commands" automatic execution feature until a patch is available
  • Switch to manual approval mode for all command execution through Sixth
  • Review recent command execution logs for evidence of exploitation
  • Restrict Sixth's execution privileges to minimize potential impact of command injection

Patch Information

Organizations should monitor the TrySixth website for security updates and patches addressing this vulnerability. Additional technical details and discussion are available at the GitHub Issue tracking this CVE.

Workarounds

  • Configure Sixth to operate exclusively in manual approval mode, requiring explicit user confirmation for all commands
  • Implement application-level whitelisting to restrict commands that can be executed through Sixth
  • Deploy network segmentation to isolate systems running Sixth from critical infrastructure
  • Consider using alternative terminal automation tools that do not rely on AI-based safety classification until the vulnerability is addressed

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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