External risk intelligence

Langroid SQLChatAgent File Read Vulnerability

CVE advisorySeverity: CRITICAL (CVSS 9.3)

CVE-2026-54760

Langroid is a framework designed for building LLM-powered applications. These applications are commonly deployed as internet-facing web interfaces or APIs that accept user input to interact with language models and databases, making the vulnerable agent functionality reachable via public-facing network services.

Path Traversal

Halo Surface Signal: 4 out of 5 — likely to be public-facing.

External exposure likelihood

Horizon Alert

Summary of the vulnerability and why it matters

This advisory concerns a critical vulnerability in the Langroid framework, which is used to build applications powered by large language models. The issue, present before version 0.65.1, could allow an attacker to bypass security controls and read server-side files, potentially exposing sensitive information. The main concern is to confirm if this framework is in use and if the affected component is exposed.

  • The issue allows attackers to read server files.
  • Leadership should remember it for potential data exposure risks.
  • Confirm if your LLM applications use this framework.

Attack Path

How an attacker could exploit the issue

An attacker could reach the vulnerability by sending specially crafted input to an application built with Langroid. The application's SQL-injection defenses, which are intended to prevent dangerous database operations, can be bypassed by manipulating how function calls are formatted in SQL. This allows an attacker to execute arbitrary PostgreSQL functions, potentially leading to the reading of sensitive files from the server.

  • No special access required.
  • Triggered by bypassing SQL defenses.
  • Allows sensitive file reads.

Live Threat

Current exploitation, exposure, and threat context

When the `SQLChatAgent` in Langroid is configured with `allow_dangerous_operations=False`, a bypass of its SQL injection defenses could allow an attacker to execute arbitrary PostgreSQL functions. This could occur if the application combines user-controlled input with database queries in a way that circumvents specific pattern matching intended to prevent malicious operations, potentially restoring a file-read capability that was previously addressed.

  • Server-side file data.
  • Bypassing SQL injection defenses.
  • Reading sensitive files from the server.

Operational Fix

Recommended remediation, mitigation, and detection steps

The `SQLChatAgent` within the Langroid framework, when deployed with default settings, contains a SQL injection vulnerability. Application owners or platform teams responsible for LLM-powered applications should first determine the presence and reachability of this agent. Confirming business criticality and identifying the specific accountable owner are crucial first steps before planning remediation, which may involve coordinating with the Langroid maintainers or implementing compensating controls.

  • Identify application owners and affected systems.
  • Verify agent reachability and business criticality.
  • Plan remediation based on exposure and risk.

Supplementary metadata

Validate whether this threat affects your internet-facing exposure.

Halo Threat Intelligence helps prioritize remediation with Halo Surface Signal and H/A/L/O context. Start exposure validation with a free external attack surface trial.

Frequently asked questions

What is Langroid and how is it used?

Langroid is a software development framework specifically designed to help engineers build applications powered by large language models. It provides tools for managing LLM interactions and data integration, often used to create sophisticated chat interfaces or intelligent agents that communicate with backend databases to retrieve or process information.

What is the vulnerability in CVE-2026-54760?

This vulnerability involves Improper Neutralization of Special Elements used in an SQL Command (CWE-89) and Improper Limitation of a Pathname to a Restricted Directory (CWE-22). It occurs because the framework's security filters, which check for dangerous database commands, can be evaded using specific PostgreSQL syntax variations. This bypass allows an attacker to execute unauthorized database functions, ultimately enabling them to read arbitrary files from the server's file system.

How can an attacker trigger this bug?

An attacker triggers this by submitting specially crafted input that uses quoted identifiers, comments, or schema qualifiers within a SQL command. These techniques mask restricted function names from the framework's regex-based blocklist. Importantly, the vulnerability persists even when the 'allow_dangerous_operations' setting is disabled, as the bypass specifically circumvents the logic intended to block high-risk database calls.

Is my application vulnerable according to Halo Surface Signal?

Halo Surface Signal identifies this as a significant concern for applications that expose Langroid-based features to the internet. Because LLM-powered applications frequently act as public-facing APIs or web interfaces, the SQLChatAgent component is often directly reachable by remote users. If your application processes external user input and connects to a PostgreSQL database, the risk of unauthorized file access is elevated.

What is the first step for teams using Langroid?

Your first step is to audit your environment to identify which systems use Langroid and determine if they are running a version earlier than 0.65.1. Locate the specific applications utilizing the SQLChatAgent component to assess their reachability. Once you confirm the use of affected versions, prioritize upgrading the Langroid framework to version 0.65.1 or newer to fully resolve the regex bypass issue.

References