CVE-2024-20448
Oct. 8, 2024, 3:25 p.m.
8.6
High
Description
A vulnerability in the Cisco Nexus Dashboard Fabric Controller (NDFC) software, formerly Cisco Data Center Network Manager (DCNM), could allow an attacker with access to a backup file to view sensitive information.
This vulnerability is due to the improper storage of sensitive information within config only and full backup files. An attacker could exploit this vulnerability by parsing the contents of a backup file that is generated from an affected device. A successful exploit could allow the attacker to access sensitive information, including NDFC-connected device credentials, the NDFC site manager private key, and the scheduled backup file encryption key.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Cisco |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-312
Cleartext Storage of Sensitive Information
The product stores sensitive information in cleartext within a resource that might be accessible to another control sphere.
CWE-313
Cleartext Storage in a File or on Disk
The product stores sensitive information in cleartext in a file, or on disk.
*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 | cisco | nexus_dashboard_fabric_controller | / | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: CHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: NONE
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N
Timeline
Published: Oct. 2, 2024, 5:15 p.m.
Last Modified: Oct. 8, 2024, 3:25 p.m.
Last Modified: Oct. 8, 2024, 3:25 p.m.
Status : Analyzed
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
ykramarz@cisco.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.