External risk intelligence

DBI SQL Nano Inverted Comparison Vulnerability Affects File-Backed Data Filtering.

CVE advisorySeverity: CRITICAL (CVSS 9.8)

CVE-2026-15043

DBI::SQL::Nano is a local library component used for processing file-backed data, such as CSV or DBM files. It typically operates within the application logic or as a backend data processing utility. While it could theoretically be part of an internet-facing application, it is not an edge service, gateway, or public-facing portal by design.

Halo Surface Signal: 2 out of 5 — less likely to be public-facing.

External exposure likelihood

Horizon Alert

Summary of the vulnerability and why it matters

A vulnerability has been identified in a Perl module, DBI::SQL::Nano, which handles text-based comparisons incorrectly. This could lead to the wrong data being filtered, potentially affecting applications that use this module for data access, policy enforcement, or authorization. The main concern is confirming whether this specific component is in use and if it processes sensitive data.

  • Incorrect text comparisons found in a Perl module.
  • May affect data filtering for policy or authorization.
  • Confirm relevance and exposure to sensitive data.

Attack Path

How an attacker could exploit the issue

An attacker could exploit this vulnerability by sending specially crafted queries to applications that use DBI::SQL::Nano for processing file-backed data. If the application's logic relies on WHERE clauses for authorization or policy enforcement, the incorrect evaluation of text-based comparisons could allow unauthorized access or manipulation of data.

  • No authentication required.
  • Malicious SQL query against data.
  • Unauthorized data access or modification.

Live Threat

Current exploitation, exposure, and threat context

When applications use DBI::SQL::Nano for file-backed data with text comparisons, inverted operators could lead to incorrect data filtering. This may affect applications that rely on these comparisons for policy enforcement or authorization, potentially returning the wrong rows when querying data.

  • File-backed data
  • Incorrect query results
  • Policy or authorization bypass

Operational Fix

Recommended remediation, mitigation, and detection steps

This vulnerability impacts applications using Perl's DBI::SQL::Nano for file-backed data operations, potentially leading to incorrect data filtering and authorization bypass. Application owners and the platform teams responsible for the Perl environment should prioritize identifying deployments of DBI::SQL::Nano, assessing their reachability and criticality, and confirming the specific use of the affected comparison operators. Planning for remediation or mitigation should be based on the identified risk, considering vendor coordination for upstream fixes if applicable.

  • Application and platform teams own resolution.
  • Verify affected data filtering and authorization logic.
  • Plan remediation based on risk and criticality.

Supplementary metadata

Validate whether this threat affects your internet-facing exposure.

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Frequently asked questions

What is DBI::SQL::Nano?

DBI::SQL::Nano is a lightweight, built-in SQL processing engine for Perl's DBI library. Developers use it as a fallback tool to query simple, file-based data formats like CSV or DBM files when the more robust SQL::Statement module is missing. It acts as a backend utility to parse and filter data directly from these files within an application.

How does CVE-2026-15043 affect text comparisons?

This vulnerability is classified as CWE-480, which involves incorrect operator behavior. In affected versions of DBI::SQL::Nano, the logic used to evaluate text strings is flawed: the engine swaps the 'less than or equal to' (<=) and 'greater than or equal to' (>=) operators. Consequently, any query relying on these operators will return logically inverted results, causing the application to process or display data that does not actually meet the intended criteria.

When does a query trigger this vulnerability?

The bug occurs specifically when an application performs a SQL WHERE clause comparison on non-numeric string data using <= or >= operators. It is not triggered if your queries only use numeric comparisons or other standard operators like equals (=) or not-equals (!=). The flaw resides in the specific string-handling branch of the engine's matching logic.

Do I need to worry if my application is internal?

While Halo Surface Signal notes this component is rarely an edge service, any application using DBI::SQL::Nano to filter data based on user-supplied input may be at risk. Even if a service is internal, if it processes data from untrusted sources or relies on these comparisons for authorization decisions, an attacker could potentially manipulate query results to bypass intended policy restrictions.

How should I respond to this vulnerability?

Begin by auditing your Perl environment to determine if DBI::SQL::Nano is in use, particularly within applications that handle sensitive authorization or access control logic. Check your codebase for SQL queries against file-backed data that utilize <= or >= string comparisons. Prioritize updating the library to version 1.651 or later, or work with your platform team to ensure the environment is configured to use secure alternatives.

References