CVE-2024-55550
Jan. 8, 2025, 8:46 p.m.
2.7
Low
Description
Mitel MiCollab through 9.8 SP2 could allow an authenticated attacker with administrative privilege to conduct a local file read, due to insufficient input sanitization. A successful exploit could allow the authenticated admin attacker to access resources that are constrained to the admin access level, and the disclosure is limited to non-sensitive system information. This vulnerability does not allow file modification or privilege escalation.
Product(s) Impacted
Vendor | Product | Versions |
---|---|---|
Mitel |
|
|
Weaknesses
CWE-125
Out-of-bounds Read
The product reads data past the end, or before the beginning, of the intended buffer.
CWE-22
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.
*CPE(s)
Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
---|---|---|---|---|---|---|---|---|---|---|
a | mitel | micollab | / | / | / | / | / | - | / | / |
a | mitel | micollab | 9.8 | - | / | / | / | - | / | / |
a | mitel | micollab | 9.8 | sp1 | / | / | / | - | / | / |
Tags
CVSS Score
CVSS Data
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: HIGH
- Scope: UNCHANGED
- Confidentiality Impact: LOW
- Integrity Impact: NONE
- Availability Impact: NONE
View Vector String
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:N/A:N
Date
- Published: Dec. 10, 2024, 7:15 p.m.
- Last Modified: Jan. 8, 2025, 8:46 p.m.
Status : Analyzed
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
cve@mitre.org
*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.