CVE-2017-6709
5 Medium
CVSS2
Attack Vector
NETWORK
Attack Complexity
LOW
Authentication
NONE
Confidentiality Impact
PARTIAL
Integrity Impact
NONE
Availability Impact
NONE
AV:N/AC:L/Au:N/C:P/I:N/A:N
9.8 High
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
HIGH
Integrity Impact
HIGH
Availability Impact
HIGH
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
9.3 High
AI Score
Confidence
High
0.004 Low
EPSS
Percentile
73.4%
A vulnerability in the AutoVNF tool for the Cisco Ultra Services Framework could allow an unauthenticated, remote attacker to access administrative credentials for Cisco Elastic Services Controller (ESC) and Cisco OpenStack deployments in an affected system. The vulnerability exists because the affected software logs administrative credentials in clear text for Cisco ESC and Cisco OpenStack deployment purposes. An attacker could exploit this vulnerability by accessing the AutoVNF URL for the location where the log files are stored and subsequently accessing the administrative credentials that are stored in clear text in those log files. This vulnerability affects all releases of the Cisco Ultra Services Framework prior to Releases 5.0.3 and 5.1. Cisco Bug IDs: CSCvc76659.
Affected configurations
| CPE | Name | Operator | Version |
|---|---|---|---|
| cisco:ultra_services_framework | cisco ultra services framework | le | 5.0.2 |
CNA Affected
[
{
"product": "Cisco Ultra Services Framework",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "Cisco Ultra Services Framework"
}
]
}
]Related
5 Medium
CVSS2
Attack Vector
NETWORK
Attack Complexity
LOW
Authentication
NONE
Confidentiality Impact
PARTIAL
Integrity Impact
NONE
Availability Impact
NONE
AV:N/AC:L/Au:N/C:P/I:N/A:N
9.8 High
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
HIGH
Integrity Impact
HIGH
Availability Impact
HIGH
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
9.3 High
AI Score
Confidence
High
0.004 Low
EPSS
Percentile
73.4%