In GLPI before version 9.4.6 there are multiple related stored XSS vulnerabilities. The package is vulnerable to Stored XSS in the comments of items in the Knowledge base. Adding a comment with content "<script>alert(1)</script>" reproduces the attack. This can be exploited by a user with administrator privileges in the User-Agent field. It can also be exploited by an outside party through the following steps: 1. Create a user with the surname `" onmouseover="alert(document.cookie)` and an empty first name. 2. With this user, create a ticket 3. As an administrator (or other privileged user) open the created ticket 4. On the "last update" field, put your mouse on the name of the user 5. The XSS fires This is fixed in version 9.4.6.
This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 7.6, indicating it can be exploited remotely over the network with relatively low complexity though user interaction is required requiring only low-level privileges . The vulnerability impacts confidentiality (data exposure), limited integrity, for affected systems. Impacting 1 product from glpi-project organizations running these solutions should prioritize assessment and patching.
Reported in 2020, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.
2020-05-05T22:15:12.887
2024-11-21T04:56:39.120
Modified
CVSSv3.1: 7.6 (HIGH)
AV:N/AC:M/Au:S/C:N/I:P/A:N
6.8
2.9
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | glpi-project | glpi | < 9.4.6 | Yes |
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For glpi-project's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.