7.5

CVE-2014-9220

SQL injection vulnerability in OpenVAS Manager before 4.0.6 and 5.x before 5.0.7 allows remote attackers to execute arbitrary SQL commands via the timezone parameter in a modify_schedule OMP command.

Daten sind bereitgestellt durch National Vulnerability Database (NVD)
FedoraprojectFedora Version21
OpenvasOpenvas Manager Version <= 4.0.5
OpenvasOpenvas Manager Version5.0.0
OpenvasOpenvas Manager Version5.0.0 Updatebeta1
OpenvasOpenvas Manager Version5.0.0 Updatebeta10
OpenvasOpenvas Manager Version5.0.0 Updatebeta11
OpenvasOpenvas Manager Version5.0.0 Updatebeta12
OpenvasOpenvas Manager Version5.0.0 Updatebeta13
OpenvasOpenvas Manager Version5.0.0 Updatebeta2
OpenvasOpenvas Manager Version5.0.0 Updatebeta3
OpenvasOpenvas Manager Version5.0.0 Updatebeta4
OpenvasOpenvas Manager Version5.0.0 Updatebeta5
OpenvasOpenvas Manager Version5.0.0 Updatebeta6
OpenvasOpenvas Manager Version5.0.0 Updatebeta7
OpenvasOpenvas Manager Version5.0.0 Updatebeta8
OpenvasOpenvas Manager Version5.0.0 Updatebeta9
OpenvasOpenvas Manager Version5.0.1
OpenvasOpenvas Manager Version5.0.2
OpenvasOpenvas Manager Version5.0.3
OpenvasOpenvas Manager Version5.0.4
OpenvasOpenvas Manager Version5.0.5
OpenvasOpenvas Manager Version5.0.6
OpensuseOpensuse Version13.2
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
EPSS Metriken
Typ Quelle Score Percentile
EPSS FIRST.org 0.44% 0.602
CVSS Metriken
Quelle Base Score Exploit Score Impact Score Vector String
nvd@nist.gov 7.5 10 6.4
AV:N/AC:L/Au:N/C:P/I:P/A:P
CWE-89 Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.