CVE-2025-24474 in FortiManager
Summary
by MITRE • 07/08/2025
An Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability [CWE-89] in FortiManager 7.6.0 through 7.6.1, 7.4.0 through 7.4.6, 7.2 all versions, 7.0 all versions, 6.4 all versions; FortiManager Cloud 7.4.1 through 7.4.6, 7.2 all versions, 7.0 all versions, 6.4 all versions; FortiAnalyzer 7.6.0 through 7.6.1, 7.4.0 through 7.4.6, 7.2 all versions, 7.0 all versions, 6.4 all versions; and FortiAnalyzer Cloud 7.4.1 through 7.4.6, 7.2 all versions, 7.0 all versions, 6.4 all versions may allow an authenticated attacker with high privilege to extract database information via crafted requests.
If you want to get best quality of vulnerability data, you may have to visit VulDB.
Analysis
by VulDB Data Team • 07/23/2025
This vulnerability represents a critical sql injection flaw classified under cwe-89 that affects multiple fortinet products including fortimanager and fortianalyzer across numerous version ranges. The weakness occurs when the application fails to properly sanitize user input before incorporating it into sql commands, creating an opportunity for malicious actors to manipulate database queries through specially crafted requests. The vulnerability specifically targets authenticated attackers who possess high privilege levels, indicating that the attack vector requires prior access to the system through legitimate credentials. This authentication requirement somewhat limits the attack surface but does not eliminate the severity of the issue, as compromised accounts can lead to significant data breaches.
The technical implementation of this vulnerability stems from improper neutralization of special sql elements within command construction processes. Attackers can exploit this by injecting malicious sql code through input fields that are subsequently processed by the affected applications. The impact extends across multiple product lines including fortimanager cloud, fortianalyzer, and fortianalyzer cloud, affecting versions from 6.4 through 7.6 series. This widespread scope indicates the vulnerability is likely present in core sql processing components shared across the fortinet product ecosystem. The exploitation process typically involves crafting specific payloads that can bypass input validation mechanisms and manipulate the underlying database queries to extract sensitive information.
The operational impact of this vulnerability is substantial as it allows authenticated attackers with high privileges to extract database information, potentially including user credentials, system configurations, and sensitive operational data. This capability directly violates the principle of least privilege and can lead to complete system compromise when combined with other attack vectors. Organizations using affected fortinet products face significant risk of data exfiltration, system integrity compromise, and potential regulatory violations depending on the nature of the extracted information. The vulnerability's presence across multiple versions and product lines suggests that organizations may need to conduct comprehensive audits of their deployed fortinet infrastructure to identify all potentially affected systems.
Mitigation strategies should focus on immediate patch application to the affected versions, as fortinet typically releases security updates to address such vulnerabilities. Organizations should also implement additional security controls including input validation, parameterized queries, and web application firewalls to reduce the attack surface. Network segmentation and privileged access management controls can help limit the potential impact if exploitation occurs. Regular security assessments and vulnerability scanning should be conducted to identify similar issues within the broader infrastructure. The vulnerability aligns with several attack techniques documented in the mitre attack framework, particularly those involving credential access and privilege escalation through database manipulation. Organizations should also consider implementing database activity monitoring solutions to detect anomalous sql query patterns that may indicate exploitation attempts.