CVE-2019-14900
Description
A flaw was found in Hibernate ORM. A SQL injection in the implementation of the JPA Criteria API can permit unsanitized literals when a literal is used in the SELECT or GROUP BY parts of the query. This flaw could allow an attacker to access unauthorized information or possibly conduct further attacks.
Statement
OpenDaylight: In RHOSP10, RHOSP13 and RHOSP14 editions of Red Hat OpenStack platform, the hibernate-jfa library shipped with OpenDaylight is contains a flaw in the processing of SQL queries. The hibernate-jha implemenation is not used in a vulnerable way in OpenDaylight, preventing the potential for SQL injection.
Red Hat Satellite 6.2, 6.3 and 6.4 contains affected versions of hibernate-core in its candlepin component. However, that component does not use hibernate-core in a vulnerable way.
Mitigation
There is no currently known mitigation for this flaw.
Common Vulnerability Scoring System (CVSS) Score Details
Info alert:Important note
CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authority (CNA) source for its products and services (see Red Hat classifications).
CVSS v3 Score Breakdown
| Red Hat | NVD | cve.org | |
|---|---|---|---|
| Base Score | 6.5 | 6.5 | N/A |
| Attack Vector | Network | Network | N/A |
| Attack Complexity | Low | Low | N/A |
| Privileges Required | Low | Low | N/A |
| User Interaction | None | None | N/A |
| Scope | Unchanged | Unchanged | N/A |
| Confidentiality | High | High | N/A |
| Integrity Impact | None | None | N/A |
| Availability Impact | None | None | N/A |
Vector
Red Hat: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
NVD: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
Understanding the Weakness (CWE)
Confidentiality,Integrity,Availability
Technical Impact: Execute Unauthorized Code or Commands
Adversaries could execute system commands, typically by changing the SQL statement to redirect output to a file that can then be executed.
Confidentiality
Technical Impact: Read Application Data
Since SQL databases generally hold sensitive data, loss of confidentiality is a frequent problem with SQL injection vulnerabilities.
Authentication
Technical Impact: Gain Privileges or Assume Identity; Bypass Protection Mechanism
If poor SQL commands are used to check user names and passwords or perform other kinds of authentication, it may be possible to connect to the product as another user with no previous knowledge of the password.
Access Control
Technical Impact: Bypass Protection Mechanism
If authorization information is held in a SQL database, it may be possible to change this information through the successful exploitation of a SQL injection vulnerability.
Integrity
Technical Impact: Modify Application Data
Just as it may be possible to read sensitive information, it is also possible to modify or even delete this information with a SQL injection attack.
Acknowledgements
This issue was discovered by Guillaume Smet (Red Hat).
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