CVE-2025-45868
Deferred Deferred - Pending Action

Blind SQL Injection in LogicalDOC Enterprise

Publication date: 2026-07-16

Last updated on: 2026-07-20

Assigner: MITRE

Description
LogicalDOC Enterprise up to and for v9.1.1 is vulnerable to blind SQL injection in the ComparisonServlet component, allowing authenticated user to manipulate SQL queries via crafted input.

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Meta Information

Published
2026-07-16
Last Modified
2026-07-20
Generated
2026-08-05
AI Q&A
2026-07-16
EPSS Evaluated
2026-08-04
NVD
CVE-2025-45868
EUVD
EUVD-2025-210477

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
logicaldoc enterprise to 9.1.1 (inc)

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-89 The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.

Attack-Flow Graph

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Executive Summary

CVE-2025-45868 is a blind SQL injection vulnerability in LogicalDOC Enterprise versions up to 9.1.1. It affects the ComparisonServlet component, specifically the /compare endpoint which processes parameters like docId1, docId2, fileVersion1, and fileVersion2. The vulnerability arises because fileVersion1 and fileVersion2 are used to build an HQL query without proper sanitization or parameter binding, allowing authenticated users to inject crafted expressions.

Detection Guidance

To detect this vulnerability, monitor HTTP requests to the /compare endpoint with parameters like docId1, docId2, fileVersion1, and fileVersion2. Look for unusual SQL-like expressions in these parameters. Use tools like Burp Suite or sqlmap to test for blind SQL injection by sending crafted inputs and observing error responses or PDF generation.

Impact Analysis

An attacker with low privileges could exploit this to manipulate SQL queries and infer database values character by character. This may expose sensitive data such as usernames, email addresses, password hashes, or other confidential records. The attack could lead to information disclosure and potential privilege escalation within the system.

Compliance Impact

This vulnerability could lead to unauthorized access and exposure of sensitive personal data, violating compliance requirements under GDPR and HIPAA. GDPR mandates protection of personal data, while HIPAA requires safeguarding protected health information. A breach could result in legal penalties, reputational damage, and loss of trust.

Mitigation Strategies

Immediately upgrade to LogicalDOC 9.2 or apply the vendor patch. Ensure HQL/SQL queries use parameterized inputs and validate fileVersion1 and fileVersion2 strictly. Restrict access to the /compare endpoint to authorized users only and monitor for suspicious activity.

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