7.5
CVE-2012-2684
- EPSS 0.61%
- Published 28.09.2012 17:55:00
- Last modified 11.04.2025 00:51:21
- Source secalert@redhat.com
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Multiple SQL injection vulnerabilities in the get_sample_filters_by_signature function in Cumin before 0.1.5444, as used in Red Hat Enterprise Messaging, Realtime, and Grid (MRG) 2.0, allow remote attackers to execute arbitrary SQL commands via the (1) agent or (2) object id.
Data is provided by the National Vulnerability Database (NVD)
Trevor Mckay ≫ Cumin Version <= 0.1.5192-4
Trevor Mckay ≫ Cumin Version0.1.3160-1
Trevor Mckay ≫ Cumin Version0.1.4369-1
Trevor Mckay ≫ Cumin Version0.1.4410-2
Trevor Mckay ≫ Cumin Version0.1.4494-1
Trevor Mckay ≫ Cumin Version0.1.4794-1
Trevor Mckay ≫ Cumin Version0.1.4916-1
Trevor Mckay ≫ Cumin Version0.1.5033-1
Trevor Mckay ≫ Cumin Version0.1.5037-1
Trevor Mckay ≫ Cumin Version0.1.5054-1
Trevor Mckay ≫ Cumin Version0.1.5068-1
Trevor Mckay ≫ Cumin Version0.1.5092-1
Trevor Mckay ≫ Cumin Version0.1.5098-2
Trevor Mckay ≫ Cumin Version0.1.5105-1
Trevor Mckay ≫ Cumin Version0.1.5137-1
Trevor Mckay ≫ Cumin Version0.1.5137-2
Trevor Mckay ≫ Cumin Version0.1.5137-3
Trevor Mckay ≫ Cumin Version0.1.5137-4
Trevor Mckay ≫ Cumin Version0.1.5137-5
Trevor Mckay ≫ Cumin Version0.1.5192-1
Redhat ≫ Enterprise Mrg Version2.0
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
Type | Source | Score | Percentile |
---|---|---|---|
EPSS | FIRST.org | 0.61% | 0.671 |
Source | 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.