8.8
CVE-2022-24848
- EPSS 0.46%
- Veröffentlicht 01.06.2022 18:15:07
- Zuletzt bearbeitet 21.11.2024 06:51:13
- Quelle security-advisories@github.com
- CVE-Watchlists
- Unerledigt
LoginDHIS2 is an information system for data capture, management, validation, analytics and visualization. A SQL injection security vulnerability affects the `/api/programs/orgUnits?programs=` API endpoint in DHIS2 versions prior to 2.36.10.1 and 2.37.6.1. The system is vulnerable to attack only from users that are logged in to DHIS2, and there is no known way of exploiting the vulnerability without first being logged in as a DHIS2 user. The vulnerability is not exposed to a non-malicious user and requires a conscious attack to be exploited. A successful exploit of this vulnerability could allow the malicious user to read, edit and delete data in the DHIS2 instance's database. Security patches are now available for DHIS2 versions 2.36.10.1 and 2.37.6.1. One may apply mitigations at the web proxy level as a workaround. More information about these mitigations is available in the GitHub Security Advisory.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.46% | 0.637 |
| Quelle | Base Score | Exploit Score | Impact Score | Vector String |
|---|---|---|---|---|
| nvd@nist.gov | 8.8 | 2.8 | 5.9 |
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
|
| nvd@nist.gov | 6.5 | 8 | 6.4 |
AV:N/AC:L/Au:S/C:P/I:P/A:P
|
| security-advisories@github.com | 8.8 | 2.8 | 5.9 |
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
|
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.