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high·Product Based Web Vulnerabilities·Updated Apr 2, 2025

CVE-2025-24799 Scanner

CVE-2025-24799 Scanner - SQL Injection vulnerability in GLPI

Est. Time~10 seconds
Scan TypeSingle Scan
Targetsdomain, subdomain, ipv4
CostFree
3.4k
Times Used
continuous scan runs
3.4k
Continuously Checked
assets under CS
1
Vulnerabilities Found
confirmed findings
References
CVECVE-2025-24799
9.8
CVSShigh
Exploitable remotely over the internet · no authentication required.

GLPI is a free asset and IT management software package. An unauthenticated user can perform a SQL injection through the inventory endpoint. This vulnerability is fixed in 10.0.18.

Attack Vector
Network
Privileges Req.
None
User Interaction
None
Affected
glpiby glpi-project
>= 10.0.0, < 10.0.18
Updated Aug 22, 2026View on NVD →
Detail

GLPI is an IT asset management software used by organizations to manage their IT infrastructure. It is widely utilized by IT departments for inventory management, tracking assets, and offering IT support. The software offers features such as ticket management, license tracking, and network management. GLPI is commonly adopted by medium to large enterprises and educational institutions to streamline their IT operations. Its flexible architecture allows integration with various plugins, enhancing its functionality according to specific organizational needs. Its deployment can be on-premises or cloud-based, offering diverse settings that cater to different IT environments.

The SQL Injection vulnerability found in GLPI is particularly severe due to its pre-authentication nature. Pre-authentication SQL Injection vulnerabilities allow attackers to manipulate SQL queries without any initial valid credentials. In this case, the issue lies in the Inventory feature, attributed to improper sanitization within the handleAgent function. Malicious actors can exploit this vulnerability by sending specially crafted XML requests. The vulnerability enables unauthorized access to the database, potentially exposing sensitive information, including user credentials. Furthermore, it presents a risk of effective authentication bypass.

Technically, the vulnerability is rooted in the mishandling of SimpleXMLElement objects, which can bypass the dbEscapeRecursive function. This allows for injection of arbitrary SQL queries. The maliciously crafted XML payload interacts with the ‘deviceid’ parameter, exploiting SQL Sleep function for validation. The vulnerability is confirmed by analyzing response times, with a delay matching the duration specified by the attacker's query as a clear indicator. It combines logical errors in input validation with SQL query formation risks, thereby bypassing standard access controls.

Exploitation of this vulnerability can have severe impacts on the affected systems. Successful SQL Injection attacks may lead to unauthorized access to sensitive data, such as user credentials, opening avenues for further attacks. Additional risks include authentication bypass, leading to administrative access control breaches. Database integrity may be compromised, potentially facilitating data tampering or deletion, causing operational disruption. The exploitation may further act as a pivot point for launching other attacks, such as Denial of Service (DoS) or Remote Code Execution (RCE). The overall system's security posture would be significantly weakened, increasing overall risk exposure.

REFERENCES

Solution Advice
  • Upgrade to GLPI version 10.0.18 or later to mitigate SQL Injection vulnerability risks.
  • Disable the Inventory feature temporarily or limit its access until upgrading, to prevent potential exploitation.
  • Enforce stricter input validation and sanitation within XML request handling, particularly in the handleAgent function.
  • Review and enhance database query formation logic to eliminate susceptibility to SQL injection attacks.
  • Implement network-level monitoring and anomaly detection to identify unusual request patterns indicative of an attack.
  • Regularly audit and secure database credentials, minimizing risks through proper key management practices.

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CVE-2025-24799 Scanner - SQL Injection vulnerability in GLPI S4E