By Null Ventures MCP platform
Menu

vulnerability / NVI-00016118 / Revision 2

Anyquery: Local File Read (LFR) via Unrestricted SQLite Virtual Table Modules in Server Mode

GitHub lists this reviewed advisory for github.com/julien040/anyquery. Published version ranges and source prerequisites are shown below; this is not an inspection of a visitor’s application.

source listedactiveGHSA-mf78-3rpf-r784CVE-2026-54629

This report has not inspected your inventory, configuration, deployed build, reachability or evidence. A catalog listing and a severity score do not establish exposure or compromise.

01 / Meaning

Why it matters

Published affected context helps an owner decide what evidence to gather. This report has not examined your application.

CVSS

7.5 high

GitHub source severity; exploitability and local consequence require separate evidence.

As of · GitHub Advisory Database

02 / Applicability

The affected context

Affected versions, configuration prerequisites and known exclusions are public. Confirm each one against the deployed service.

github.com/julien040/anyquery

source listed
  • < 0.4.5

## Summary Anyquery's `server` mode lacks input sanitization and access control over its built-in SQLite virtual table modules (e.g., `csv_reader`, `log_reader`). Unauthenticated attackers connecting to the MySQL-compatible server port can create virtual tables pointing to local files on the system (e.g., `/etc/passwd`, `~/.ssh/id_rsa`). This allows full Local File Read (LFR) capabilities, compromising sensitive system configurations and credentials. ## Details Anyquery utilizes the `hashicorp/go-getter` library within its data ingestion modules. When Anyquery is launched in **Server Mode** (`anyquery server`), it binds to a TCP port and accepts MySQL protocol connections. The server handler does not restrict the usage of these virtual table modules to safe directories. An attacker can connect to the server and execute native SQLite virtual table creation queries to instantiate modules like `csv_reader` pointing to restricted files. Because the file read operation is initiated by the Anyquery server process, the attacker can read any file the process has access to. ## PoC (Proof of Concept) 1. Start the server on the victim machine: ```bash anyquery server --host 0.0.0.0 --

GitHub Advisory Database

03 / Response

What to do next

  1. investigate

    Identify the exact component and deployed version, examine the linked publisher’s conditions, and retain evidence of any mitigation.

    Confirm current vendor support, compatibility and deployment evidence. This report has not tested a fix in your system. NIST National Vulnerability Database

A fixed release is not deployment evidence.

Check current vendor support and compatibility. After making a change, verify the deployed build and relevant runtime conditions. Keep the evidence, owner and time. An updated lockfile alone does not prove what is running.

04 / Limits

What this report cannot establish

  • Customer inventory, deployment, reachability and exploitation have not been inspected.
  • NVD lastModified does not establish freshness of every associated CPE record.
Read the collection and interpretation limits ↗

05 / Provenance

Sources you can inspect

Each assertion retains its source. Mirrored records may repeat one underlying publisher; additional links are not independent corroboration.

  1. GHSA-mf78-3rpf-r784 ↗

    GitHub Advisory Database · vendor advisory

    Observed . GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.

  2. CVE-2026-54629 ↗

    NIST National Vulnerability Database · official catalog

    Observed . This product uses data from the NVD API but is not endorsed or certified by the NVD.

Public revision history

Only published revisions appear here. Routine fetches do not create a material-change event.

  1. Revision 2 ·

    Source facts changed; compare the preserved prior revision.

  2. Revision 1 ·

    First indexed by Null; source disclosure date is shown separately.

Read the public revision data ↗

The next step is private

Bring the question into your environment.

The connected workflow is a development preview for inventory, contextual matching, owner decisions and evidence-based verification. No system-specific result is generated by this page.

See the synthetic workflow preview ↗