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CVE-2025-26590: CWE-89 Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in Nir Complete Google Seo Scan

High
VulnerabilityCVE-2025-26590cvecve-2025-26590cwe-89
Published: Fri Jun 06 2025 (06/06/2025, 12:54:37 UTC)
Source: CVE Database V5
Vendor/Project: Nir
Product: Complete Google Seo Scan

Description

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Nir Complete Google Seo Scan allows SQL Injection. This issue affects Complete Google Seo Scan: from n/a through 3.5.1.

AI-Powered Analysis

AILast updated: 07/08/2025, 01:27:31 UTC

Technical Analysis

CVE-2025-26590 is a high-severity SQL Injection vulnerability (CWE-89) identified in the Nir Complete Google Seo Scan software, affecting versions up to 3.5.1. SQL Injection vulnerabilities occur when user-supplied input is improperly sanitized or neutralized before being incorporated into SQL queries, allowing attackers to manipulate the database queries executed by the application. In this case, the vulnerability allows an attacker with high privileges (PR:H) and network access (AV:N) to inject malicious SQL commands without requiring user interaction (UI:N). The vulnerability has a scope of 'changed' (S:C), indicating that exploitation can affect resources beyond the vulnerable component, potentially impacting the confidentiality of data (C:H), with no direct impact on integrity (I:N) and a low impact on availability (A:L). Although no known exploits are currently reported in the wild, the vulnerability's CVSS score of 7.6 reflects a significant risk. The lack of available patches at the time of publication increases the urgency for organizations to implement mitigations. The vulnerability arises from improper neutralization of special characters in SQL commands, which can lead to unauthorized data disclosure or exposure of sensitive information stored in the backend database. Given the nature of the product—a SEO scanning tool—this software likely interacts with web-based interfaces and databases, making it a potential target for attackers seeking to extract confidential SEO data or other stored information. The requirement for high privileges to exploit suggests that attackers need some level of authenticated access, but once obtained, they can leverage this flaw to escalate data exposure risks.

Potential Impact

For European organizations using Nir Complete Google Seo Scan, this vulnerability poses a significant risk to the confidentiality of their SEO and potentially other sensitive data stored within the application’s database. Successful exploitation could lead to unauthorized disclosure of proprietary SEO analytics, client data, or internal configurations, which could be leveraged for competitive disadvantage or further attacks. The compromised confidentiality could also lead to reputational damage and regulatory compliance issues, especially under GDPR, which mandates strict data protection and breach notification requirements. Although the vulnerability does not directly affect data integrity or availability, the exposure of sensitive data alone is critical. Additionally, the need for high privileges to exploit means that insider threats or compromised accounts could be leveraged by attackers to exploit this vulnerability. The absence of known exploits in the wild currently reduces immediate risk but does not eliminate the threat, especially as attackers often develop exploits rapidly after public disclosure. Organizations relying on this tool for SEO analysis should be aware of the potential for targeted attacks aiming to extract confidential data or gain footholds for further network intrusion.

Mitigation Recommendations

Given the absence of official patches at the time of disclosure, European organizations should implement the following specific mitigations: 1) Restrict access to the Complete Google Seo Scan application to trusted and authenticated users only, enforcing the principle of least privilege to minimize the number of users with high-level access. 2) Employ Web Application Firewalls (WAFs) with custom rules designed to detect and block SQL injection patterns targeting this specific application. 3) Conduct thorough input validation and sanitization on all user-supplied data before it reaches the SQL query layer, potentially by deploying additional application-layer proxies or filters if modifying the application code is not immediately feasible. 4) Monitor application logs and database query logs for unusual or suspicious activity indicative of SQL injection attempts. 5) Isolate the database backend from direct network exposure and enforce strict network segmentation to limit lateral movement if exploitation occurs. 6) Prepare for rapid patch deployment by establishing communication channels with the vendor and subscribing to vulnerability advisories. 7) Consider temporary suspension or replacement of the vulnerable software component if it is critical and no immediate patch is available, especially in high-risk environments.

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Technical Details

Data Version
5.1
Assigner Short Name
Patchstack
Date Reserved
2025-02-12T13:59:03.606Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 6842edd971f4d251b5c87f13

Added to database: 6/6/2025, 1:32:09 PM

Last enriched: 7/8/2025, 1:27:31 AM

Last updated: 8/10/2025, 10:26:06 AM

Views: 9

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