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CVE Vulnerability Database
Vulnerability Database/CVE-2026-6141

CVE-2026-6141: Personal AI Infrastructure RCE Vulnerability

CVE-2026-6141 is a remote code execution vulnerability in danielmiessler Personal AI Infrastructure up to version 2.3.0 caused by OS command injection. This article covers technical details, affected versions, and mitigation.

Published: April 17, 2026

CVE-2026-6141 Overview

A command injection vulnerability has been identified in danielmiessler Personal_AI_Infrastructure up to version 2.3.0. The vulnerability affects the Skills/Parser/Tools/parse_url.ts file, where improper input handling allows attackers to inject and execute arbitrary operating system commands. This vulnerability can be exploited remotely by authenticated users, potentially leading to system compromise.

Critical Impact

Remote attackers can execute arbitrary OS commands on the host system through malicious input to the URL parsing functionality, potentially leading to data theft, system compromise, or lateral movement within the network.

Affected Products

  • danielmiessler Personal_AI_Infrastructure versions up to 2.3.0

Discovery Timeline

  • 2026-04-13 - CVE-2026-6141 published to NVD
  • 2026-04-13 - Last updated in NVD database

Technical Details for CVE-2026-6141

Vulnerability Analysis

This vulnerability is classified as OS Command Injection (CWE-77: Improper Neutralization of Special Elements used in a Command). The flaw exists in the URL parsing functionality within the parse_url.ts file located in the Skills/Parser/Tools/ directory. When processing user-supplied URLs, the application fails to properly sanitize input before passing it to system command execution functions.

The exploit has been publicly disclosed, increasing the urgency for affected users to apply the available patch. The vendor was notified through responsible disclosure practices and responded professionally, quickly releasing a fixed version.

Root Cause

The root cause stems from insufficient input validation and sanitization in the URL parsing component. User-controlled input is incorporated into shell commands without proper escaping or sanitization, allowing attackers to break out of the intended command context and inject malicious commands. This is a classic command injection pattern where the application trusts user input that should be treated as data rather than executable commands.

Attack Vector

The vulnerability is exploitable remotely over the network. An attacker with low-level privileges can craft malicious input containing shell metacharacters or command sequences. When this input is processed by the parse_url.ts function, the injected commands are executed with the privileges of the application process.

The attack requires:

  • Network access to the vulnerable application
  • Low-level authentication/privileges
  • No user interaction required

The vulnerability mechanism involves improper neutralization of special elements in the URL parsing function. When malicious input containing shell metacharacters (such as ;, |, &&, or backticks) is passed to the parser, these characters are not properly escaped or filtered. This allows the attacker to append or inject arbitrary commands that get executed by the underlying operating system shell. For detailed technical information, refer to the GitHub Pull Request and VulDB Vulnerability Details.

Detection Methods for CVE-2026-6141

Indicators of Compromise

  • Unusual process spawning from the Personal_AI_Infrastructure application
  • Unexpected outbound network connections from the application server
  • Shell commands in application logs containing URL-related parameters with special characters (;, |, &&, $(), backticks)
  • Evidence of reconnaissance commands (whoami, id, hostname) in process monitoring

Detection Strategies

  • Monitor application logs for URL inputs containing shell metacharacters and command injection patterns
  • Implement runtime application self-protection (RASP) to detect command injection attempts
  • Deploy endpoint detection and response (EDR) solutions to identify anomalous command execution chains
  • Create network intrusion detection signatures for payloads targeting the URL parser endpoint

Monitoring Recommendations

  • Enable verbose logging for the Skills/Parser/Tools components to capture all URL processing activities
  • Set up alerts for any shell command execution initiated by the application process
  • Monitor for child process creation patterns that deviate from normal application behavior
  • Review and baseline normal application behavior to identify deviations indicative of exploitation

How to Mitigate CVE-2026-6141

Immediate Actions Required

  • Upgrade danielmiessler Personal_AI_Infrastructure to the patched version immediately
  • Apply the security patch with commit hash 14322e87e58bf585cf3c7b9295578a6eb7dc4945
  • Review application logs for any signs of prior exploitation attempts
  • Restrict network access to the application while patching is in progress

Patch Information

The vendor has released a security patch to address this vulnerability. The fix is available in commit 14322e87e58bf585cf3c7b9295578a6eb7dc4945. Users should update to the latest version of Personal_AI_Infrastructure that incorporates this fix. For detailed patch information, see the GitHub Commit Details and the associated Pull Request #659.

Workarounds

  • Implement input validation at the network perimeter to filter requests containing shell metacharacters
  • Deploy a web application firewall (WAF) with command injection detection rules
  • Restrict access to the vulnerable endpoint to trusted IP addresses only
  • Run the application with minimal privileges to limit the impact of successful exploitation
bash
# Example: Restrict access using firewall rules (adjust for your environment)
# Allow only trusted networks to access the application
iptables -A INPUT -p tcp --dport 3000 -s 10.0.0.0/8 -j ACCEPT
iptables -A INPUT -p tcp --dport 3000 -j DROP

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

  • Vulnerability Details
  • TypeRCE

  • Vendor/TechPersonal Ai Infrastructure

  • SeverityMEDIUM

  • CVSS Score5.3

  • EPSS Probability0.92%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityLow
  • CWE References
  • CWE-77
  • Technical References
  • GitHub Project Repository

  • GitHub Commit Details

  • GitHub Pull Request

  • GitHub Issue Comment

  • VulDB Submission Page

  • VulDB Vulnerability Details

  • VulDB CTI Information
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