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CVE-2026-85689: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in llmware-ai llmware

0
High
VulnerabilityCVE-2026-85689cvecve-2026-85689
Published: 09/04/2026 (09/04/2026, 14:32:33 UTC)
Source: CVE Database V5
Vendor/Project: llmware-ai
Product: llmware

Description

llmware version 0.4.6 contains a high-severity SQL injection vulnerability in its collection-database layer. The issue arises because filter and lookup values are directly interpolated into SQL WHERE clauses without proper parameterization or escaping. This affects both SQLite and PostgreSQL backends. The vulnerability allows attackers to bypass intended filters, potentially disclosing unauthorized data across documents or collections. On PostgreSQL, the flaw enables boolean- and UNION-based SQL injection attacks.

CVSS v4.0

Score 7.1high

Attack Vector
Network
Attack Complexity
Low
Attack Requirements
None
Privileges Required
Low
User Interaction
None
Vuln. Confidentiality
High
Vuln. Integrity
None
Vuln. Availability
None
Subsq. Confidentiality
None
Subsq. Integrity
None
Subsq. Availability
None
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N

Affected software

llmware-ai

llmware

Affected versions
>=0 <=0.4.6

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 09/15/2026, 00:55:59 UTC

Technical Analysis

CVE-2026-85689 describes an SQL injection vulnerability in llmware 0.4.6 within the collection-database layer (llmware/resources.py). The vulnerability is due to direct string interpolation of filter and lookup values into SQL WHERE clauses without parameterization or escaping, despite an allow-list check on keys. The filter validator does not sanitize values, allowing attacker-controlled input via public API methods such as Library.block_lookup and Query.text_query_with_custom_filter or text_query_by_author_or_speaker. This leads to unauthorized data disclosure across documents or collections. On PostgreSQL, the vulnerability permits boolean- and UNION-based SQL injection techniques.

Potential Impact

An attacker with low privileges can exploit this vulnerability remotely without user interaction to bypass intended data filters and access unauthorized rows in the database. This results in cross-document and cross-collection data disclosure. On PostgreSQL, the vulnerability further allows advanced SQL injection techniques that could lead to broader data exposure or manipulation.

Mitigation Recommendations

Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, avoid using affected versions or restrict access to the vulnerable API methods. Implement input validation and parameterized queries to prevent SQL injection.

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Technical Details

Data Version
5.2
Assigner Short Name
VulnCheck
Date Reserved
2026-09-04T13:51:43.959Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 6a9adb47acd9273b49bef5d1

Added to database: 09/04/2026, 14:52:55 UTC

Last enriched: 09/15/2026, 00:55:59 UTC

Last updated: 10/18/2026, 18:48:24 UTC

Views: 77

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