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CVE-2025-67921: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in VanKarWai Lobo

0
Critical
VulnerabilityCVE-2025-67921cvecve-2025-67921
Published: Thu Jan 08 2026 (01/08/2026, 09:17:46 UTC)
Source: CVE Database V5
Vendor/Project: VanKarWai
Product: Lobo

Description

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in VanKarWai Lobo lobo allows Blind SQL Injection.This issue affects Lobo: from n/a through < 2.8.6.

AI-Powered Analysis

AILast updated: 01/08/2026, 10:04:33 UTC

Technical Analysis

CVE-2025-67921 identifies a Blind SQL Injection vulnerability in the VanKarWai Lobo software, affecting versions prior to 2.8.6. The vulnerability arises from improper neutralization of special characters in SQL commands, allowing attackers to inject malicious SQL code into backend databases. Blind SQL Injection means the attacker can infer database information by observing application behavior or response times, even if direct data output is not returned. This type of injection can be exploited remotely by sending crafted HTTP requests to the vulnerable application endpoints that interact with the database. The absence of proper input sanitization or use of parameterized queries in Lobo's codebase leads to this weakness. Although no public exploits have been reported yet, the vulnerability is critical because it can be leveraged to extract sensitive data, modify or delete records, or escalate privileges within the database. The vulnerability affects all versions of Lobo before 2.8.6, but the exact scope of affected deployments depends on the usage of vulnerable modules. The lack of a CVSS score indicates that the vulnerability is newly published and pending detailed assessment. However, the technical nature and potential impact of Blind SQL Injection justify a high severity rating. Organizations using Lobo should prioritize remediation once patches are released and consider interim mitigations such as web application firewalls and strict input validation.

Potential Impact

For European organizations, exploitation of this Blind SQL Injection vulnerability could lead to unauthorized disclosure of sensitive data, including personal data protected under GDPR, resulting in regulatory penalties and reputational damage. Integrity of critical business data could be compromised, affecting operational reliability and decision-making. Availability risks exist if attackers execute destructive SQL commands or cause database lockups. Sectors such as finance, healthcare, and government, which often handle sensitive data and may use Lobo for backend operations, are particularly at risk. The breach of confidentiality or integrity could lead to financial losses, legal consequences, and erosion of customer trust. Additionally, the vulnerability could be leveraged as a foothold for further network intrusion or lateral movement within an organization’s infrastructure. The lack of known exploits currently provides a window for proactive defense, but the ease of exploitation and remote attack vector increase urgency for mitigation.

Mitigation Recommendations

1. Apply official patches from VanKarWai as soon as they become available to address the vulnerability directly. 2. Until patches are released, implement strict input validation on all user-supplied data, ensuring special characters are properly escaped or rejected. 3. Employ parameterized queries or prepared statements in any custom integrations or extensions interacting with Lobo’s database. 4. Deploy a web application firewall (WAF) configured to detect and block SQL injection patterns targeting Lobo endpoints. 5. Conduct thorough code reviews and security testing of any custom modules or plugins used with Lobo to identify similar injection risks. 6. Monitor application logs and network traffic for unusual query patterns or error messages indicative of injection attempts. 7. Restrict database user privileges to the minimum necessary to limit the impact of a successful injection. 8. Educate development and operations teams on secure coding practices related to database interactions. 9. Prepare incident response plans specific to data breaches involving database compromise. 10. Consider network segmentation to isolate critical database servers from less trusted network zones.

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Technical Details

Data Version
5.2
Assigner Short Name
Patchstack
Date Reserved
2025-12-15T09:59:49.436Z
Cvss Version
null
State
PUBLISHED

Threat ID: 695f7a5ac901b06321d0bbe5

Added to database: 1/8/2026, 9:35:22 AM

Last enriched: 1/8/2026, 10:04:33 AM

Last updated: 1/10/2026, 10:16:40 PM

Views: 17

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