CVE-2025-1893
March 6, 2025, 12:27 p.m.
4.3
Medium
Description
A vulnerability was found in Open5GS up to 2.7.2. It has been declared as problematic. Affected by this vulnerability is the function gmm_state_authentication of the file src/amf/gmm-sm.c of the component AMF. The manipulation leads to denial of service. The attack can be launched remotely. This vulnerability allows a single UE to crash the AMF, resulting in the complete loss of mobility and session management services and causing a network-wide outage. All registered UEs will lose connectivity, and new registrations will be blocked until the AMF is restarted, leading to a high availability impact. The exploit has been disclosed to the public and may be used. The patch is named e31e9965f00d9c744a7f728497cb4f3e97744ee8. It is recommended to apply a patch to fix this issue.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Open5gs |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-404
Improper Resource Shutdown or Release
The product does not release or incorrectly releases a resource before it is made available for re-use.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | open5gs | open5gs | / | / | / | / | / | / | / | / |
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: NONE
- Availability Impact: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
Timeline
Published: March 4, 2025, 1:15 a.m.
Last Modified: March 6, 2025, 12:27 p.m.
Last Modified: March 6, 2025, 12:27 p.m.
Status : Analyzed
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
cna@vuldb.com
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.