HMBRAND DBI::SQL::Nano up to 1.650 SQL Evaluation Engine is_matched comparison
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.2 | $0-$5k | 0.70+ |
Summary
A vulnerability has been found in HMBRAND DBI::SQL::Nano up to 1.650 and classified as problematic. This issue affects the function is_matched of the component SQL Evaluation Engine. This manipulation causes comparison.
This vulnerability appears as CVE-2026-15043. The attack requires local access. There is no available exploit.
Details
A vulnerability has been found in HMBRAND DBI::SQL::Nano up to 1.650 and classified as problematic. Affected by this vulnerability is the function is_matched of the component SQL Evaluation Engine. The manipulation with an unknown input leads to a comparison vulnerability. The CWE definition for the vulnerability is CWE-697. The product compares two entities in a security-relevant context, but the comparison is incorrect, which may lead to resultant weaknesses. As an impact it is known to affect confidentiality. The summary by CVE is:
DBI::SQL::Nano versions from 1.42 before 1.651 for Perl have inverted <= and >= SQL operators on text. DBI::SQL::Nano, DBI's built-in mini-SQL engine, evaluated WHERE predicates incorrectly in some cases. In the non-numeric string branch of the is_matched method, <= was evaluated using Perl's ge operator, and >= was evaluated using Perl's le operator. SQL::Nano is the fallback query engine for DBI's file-backed drivers (DBD::File, DBD::DBM, CSV-style drivers) whenever SQL::Statement is not installed, and is forced whenever DBI_SQL_NANO=1. Queries over such tables use these predicates directly. The impact depends on the context. Where an application relies on a WHERE clause to filter file-backed data for policy or authorization, an inverted <=/>= comparison silently returns the wrong rows.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-15043 since 07/08/2026. The exploitation appears to be easy. Attacking locally is a requirement. Technical details of the vulnerability are known, but there is no available exploit.
Upgrading to version 1.651 eliminates this vulnerability.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-43654). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 3.3VulDB Meta Temp Score: 3.2
VulDB Base Score: 3.3
VulDB Temp Score: 3.2
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: ComparisonCWE: CWE-697
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: No
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Upgrade: DBI::SQL::Nano 1.651
Timeline
07/08/2026 CVE reserved07/14/2026 Advisory disclosed
07/14/2026 VulDB entry created
07/14/2026 VulDB entry last update
Sources
Advisory: github.comStatus: Confirmed
CVE: CVE-2026-15043 (🔒)
GCVE (CVE): GCVE-0-2026-15043
GCVE (VulDB): GCVE-100-378283
EUVD: 🔒
Entry
Created: 07/14/2026 12:10Updated: 07/14/2026 13:18
Changes: 07/14/2026 12:10 (54), 07/14/2026 13:18 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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