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CVE Vulnerability Database
Vulnerability Database/CVE-2026-32622

CVE-2026-32622: Fit2cloud SQLBot RCE Vulnerability

CVE-2026-32622 is a stored prompt injection flaw in Fit2cloud SQLBot allowing remote code execution via malicious LLM prompts. This article covers the technical details, affected versions, impact, and mitigation steps.

Updated:

CVE-2026-32622 Overview

CVE-2026-32622 is a stored prompt injection vulnerability in SQLBot, an intelligent data query system built on large language models (LLMs) and Retrieval-Augmented Generation (RAG). The flaw affects Fit2cloud SQLBot versions 1.5.0 and earlier. It chains three weaknesses: a missing permission check on the Excel upload API, unsanitized storage of terminology descriptions, and absent semantic fencing when injecting terminology into the LLM system prompt. An authenticated attacker can hijack the LLM's reasoning to emit malicious PostgreSQL commands such as COPY ... TO PROGRAM. Successful exploitation yields remote code execution on the database or application server with postgres user privileges. The issue is tracked under [CWE-20] Improper Input Validation.

Critical Impact

Authenticated attackers can achieve remote code execution on SQLBot database or application servers by uploading malicious terminology that hijacks LLM-generated SQL.

Affected Products

  • Fit2cloud SQLBot versions 1.5.0 and below
  • SQLBot deployments with PostgreSQL backends supporting COPY ... TO PROGRAM
  • Any SQLBot instance allowing authenticated users to access the Excel terminology upload API

Discovery Timeline

  • 2026-03-19 - CVE-2026-32622 published to NVD
  • 2026-03-23 - Last updated in NVD database

Technical Details for CVE-2026-32622

Vulnerability Analysis

The vulnerability chains three distinct flaws in SQLBot's terminology ingestion pipeline. First, the Excel upload API lacks a role-based permission check, so any authenticated user — not only administrators — can submit terminology entries. Second, the application stores terminology descriptions without sanitizing or escaping content that may include instructions targeting the downstream LLM. Third, when SQLBot constructs the LLM system prompt at query time, it concatenates stored terminology into the prompt without semantic fencing or delimiters that isolate untrusted data from trusted instructions.

When a victim later issues a natural-language query, the poisoned terminology executes as part of the model's instructions. The LLM is coerced into generating attacker-chosen SQL rather than answering the user's question. Because SQLBot executes the generated SQL against PostgreSQL using the postgres role, the attacker reaches a privileged execution context. PostgreSQL's COPY ... TO PROGRAM statement then pivots SQL execution into operating system command execution on the database host.

Root Cause

The root cause is improper input validation [CWE-20] across three boundaries: authorization at the API layer, sanitization at the storage layer, and prompt construction at the inference layer. Each layer trusts data that originated from an authenticated but untrusted user. No single layer enforces a guardrail that prevents terminology data from being interpreted as LLM instructions.

Attack Vector

The attack is network-reachable and requires only low-privileged authenticated access. An attacker uploads a crafted Excel file containing terminology entries whose descriptions encode prompt-injection payloads instructing the LLM to emit a COPY ... TO PROGRAM statement. When any subsequent user — including the attacker — submits a relevant query, the LLM produces the attacker's SQL, which SQLBot executes server-side. The resulting shell command runs as the postgres operating system user.

No verified exploit code is publicly available. See the GitHub Security Advisory GHSA-m7q7-vhw9-q7m3 for the maintainer's technical description.

Detection Methods for CVE-2026-32622

Indicators of Compromise

  • PostgreSQL server logs containing COPY statements with the TO PROGRAM clause originating from SQLBot sessions
  • Unexpected child processes of the PostgreSQL server process (postgres) such as shells, curl, wget, or scripting interpreters
  • New or modified rows in the SQLBot terminology tables containing instruction-like strings (e.g., "ignore previous instructions", "execute", "COPY")
  • HTTP POST requests to the SQLBot Excel terminology upload endpoint from non-administrative user accounts

Detection Strategies

  • Enable PostgreSQL log_statement = 'all' on SQLBot databases and alert on any statement matching COPY .* TO PROGRAM
  • Monitor process trees for postgres spawning non-database child processes and treat as high-severity
  • Inspect SQLBot application logs for terminology upload events correlated with subsequent anomalous SQL generations
  • Apply LLM output filtering or static SQL allowlisting before executing model-generated queries

Monitoring Recommendations

  • Forward PostgreSQL and SQLBot application logs to a centralized analytics platform and retain for incident review
  • Baseline normal terminology content length and character distribution to detect outlier uploads carrying injection payloads
  • Audit authenticated user activity on the terminology upload API and review historical uploads since deployment

How to Mitigate CVE-2026-32622

Immediate Actions Required

  • Upgrade SQLBot to version 1.6.0 or later, which contains the official fix
  • Audit existing terminology entries and remove any containing SQL keywords, prompt-injection language, or unexpected instructions
  • Restrict the PostgreSQL role used by SQLBot to a non-superuser account that cannot invoke COPY ... TO PROGRAM
  • Rotate database credentials and review system integrity on any host where compromise is suspected

Patch Information

Fit2cloud released the fix in SQLBot v1.6.0. The patch adds permission checks on the Excel upload API, sanitizes terminology storage, and introduces semantic fencing when injecting terminology into LLM prompts. Full advisory details are available in GitHub Security Advisory GHSA-m7q7-vhw9-q7m3.

Workarounds

  • Block access to the Excel terminology upload endpoint at the reverse proxy for all non-administrative users until upgrade
  • Run PostgreSQL under a dedicated low-privilege OS account and disable COPY ... TO PROGRAM by ensuring the database role is not a superuser
  • Apply egress filtering on the database host to limit post-exploitation command-and-control activity
bash
# Example: revoke superuser from the SQLBot database role to block COPY ... TO PROGRAM
ALTER ROLE sqlbot_app WITH NOSUPERUSER;
REVOKE pg_execute_server_program FROM sqlbot_app;

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

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