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CVE Vulnerability Database
Vulnerability Database/CVE-2025-15597

CVE-2025-15597: Fit2cloud Sqlbot Auth Bypass Vulnerability

CVE-2025-15597 is an authentication bypass flaw in Fit2cloud Sqlbot affecting versions up to 1.4.0 through improper access controls. This article covers technical details, affected versions, and mitigation.

Published: March 6, 2026

CVE-2025-15597 Overview

A vulnerability has been identified in Dataease SQLBot versions up to 1.4.0 that affects multiple API endpoints in the backend/apps/system/api/assistant.py component. This improper access controls vulnerability allows attackers to bypass authorization mechanisms and access restricted functionality without proper authentication. The vulnerability can be exploited remotely over the network and proof-of-concept exploit code has been publicly disclosed.

Critical Impact

Remote attackers can bypass access controls to perform unauthorized actions on AI Model Management and User Management endpoints, potentially leading to data exposure and system manipulation.

Affected Products

  • Fit2cloud SQLBot versions up to 1.4.0
  • Dataease SQLBot API Endpoint component (backend/apps/system/api/assistant.py)
  • Multiple endpoints affected across AI Model Management and User Management

Discovery Timeline

  • March 2, 2026 - CVE-2025-15597 published to NVD
  • March 5, 2026 - Last updated in NVD database

Technical Details for CVE-2025-15597

Vulnerability Analysis

This vulnerability falls under CWE-266 (Incorrect Privilege Assignment) and manifests as broken access control across multiple API endpoints in Dataease SQLBot. The affected component, backend/apps/system/api/assistant.py, fails to properly validate user authorization before processing requests. This allows authenticated users with lower privileges to access functionality intended for administrative users, or in some cases, allows unauthenticated access to protected resources.

The vulnerability impacts both AI Model Management and User Management functionality within the application. Attackers exploiting this flaw can potentially enumerate users, modify AI model configurations, or access sensitive system settings that should be restricted to administrators only.

Root Cause

The root cause stems from missing or inadequate authorization checks in the API endpoint handlers. The application does not properly verify whether the requesting user has the appropriate permissions before executing privileged operations. This results in a broken access control condition where privilege boundaries are not enforced at the API layer.

Attack Vector

The attack can be launched remotely over the network by sending crafted HTTP requests to vulnerable API endpoints. An attacker with basic authentication credentials (or in some cases without authentication) can directly access administrative functions by making requests to the affected endpoints in assistant.py. The attack requires no user interaction and can be automated for mass exploitation.

The vulnerability has been publicly documented with proof-of-concept code available in security research repositories. Specifically, PoC details are available for both the AIModel Management Missing Authorization and User Management Broken Access Control attack vectors.

Detection Methods for CVE-2025-15597

Indicators of Compromise

  • Unusual API requests to /api/assistant/ endpoints from unauthorized user accounts
  • Access attempts to AI Model Management endpoints from non-administrative sessions
  • Unexpected modifications to user accounts or AI model configurations
  • Elevated frequency of requests to User Management APIs from standard user sessions

Detection Strategies

  • Monitor HTTP access logs for requests to backend/apps/system/api/assistant.py endpoints from users without administrative privileges
  • Implement application-level logging to track authorization failures and suspicious access patterns
  • Deploy web application firewall (WAF) rules to detect and alert on anomalous API access patterns
  • Review audit logs for unauthorized changes to AI models or user account configurations

Monitoring Recommendations

  • Enable verbose logging for all API endpoints in the assistant.py module
  • Configure alerts for repeated access attempts to administrative functions by non-admin users
  • Implement session monitoring to detect privilege escalation attempts
  • Regularly audit user permissions and access logs for signs of unauthorized activity

How to Mitigate CVE-2025-15597

Immediate Actions Required

  • Upgrade Dataease SQLBot to version 1.5.0 or later immediately
  • Review access logs for any signs of prior exploitation
  • Audit user accounts for unauthorized modifications or suspicious activity
  • Temporarily restrict network access to SQLBot API endpoints if upgrade cannot be performed immediately

Patch Information

The vulnerability has been addressed in SQLBot version 1.5.0. The fix is available via commit d640ac31d1ce64ce90e06cf7081163915c9fc28c. Organizations should upgrade to the patched version by downloading it from the official GitHub release. Additional details are available in the GitHub Security Advisory GHSA-h4xm-3q3p-5g6r.

Workarounds

  • Implement network-level access controls to restrict API endpoint access to trusted IP addresses only
  • Deploy a reverse proxy or WAF with rules to validate authorization headers before requests reach the application
  • Disable or restrict access to non-essential API endpoints until the upgrade can be completed
  • Monitor all API access and implement rate limiting to reduce exploitation potential
bash
# Example: Restrict access to SQLBot API using iptables
# Only allow access from trusted management network
iptables -A INPUT -p tcp --dport 8080 -s 10.0.0.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 8080 -j DROP

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

  • Vulnerability Details
  • TypeAuth Bypass

  • Vendor/TechFit2cloud Sqlbot

  • SeverityMEDIUM

  • CVSS Score5.3

  • EPSS Probability0.05%

  • 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-266
  • Technical References
  • GitHub Repository for SQLBot

  • GitHub Release v1.5.0

  • GitHub PoC for Missing Authorization

  • GitHub PoC for Access Control

  • VulDB #348291 (CTI)

  • VulDB #348291

  • VulDB Submission #706144

  • VulDB Submission #707283

  • VulDB Submission #707284

  • VulDB Submission #707285

  • VulDB Submission #707286

  • VulDB Submission #707288

  • VulDB Submission #707293

  • VulDB Submission #707294

  • VulDB Submission #707295
  • Vendor Resources
  • GitHub Commit d640ac31

  • GitHub Security Advisory GHSA-h4xm-3q3p-5g6r
  • Related CVEs
  • CVE-2025-15598: Fit2cloud Sqlbot Auth Bypass Vulnerability

  • CVE-2026-32950: Fit2cloud Sqlbot SQLi Vulnerability

  • CVE-2026-32949: Fit2cloud SQLBot SSRF Vulnerability
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