6.5
CVE-2023-30558
- EPSS 0.75%
- Published 19.04.2023 00:15:09
- Last modified 21.11.2024 08:00:25
- Source security-advisories@github.com
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Archery is an open source SQL audit platform. The Archery project contains multiple SQL injection vulnerabilities, that may allow an attacker to query the connected databases. User input coming from the `db_name` in the `sql/data_dictionary.py` `table_list` endpoint is passed to the methods that follow in a given SQL engine implementations, which concatenate user input unsafely into a SQL query and afterwards pass it to the `query` method of each database engine for execution. The affected methods are `get_group_tables_by_db` in `sql/engines/mssql.py`which passes unsafe user input to `sql/engines/mssql.py`, and `get_group_tables_by_db` in `sql/engines/oracle.py`which concatenates input which is passed to execution on the database in the `sql/engines/oracle.py` `query` method. Each of these issues may be mitigated by escaping user input or by using prepared statements when executing SQL queries. This issue is also indexed as `GHSL-2022-105`.
Data is provided by the National Vulnerability Database (NVD)
Archerydms ≫ Archery Version1.9.0
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
Type | Source | Score | Percentile |
---|---|---|---|
EPSS | FIRST.org | 0.75% | 0.717 |
Source | Base Score | Exploit Score | Impact Score | Vector string |
---|---|---|---|---|
nvd@nist.gov | 6.5 | 2.8 | 3.6 |
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
|
security-advisories@github.com | 6.5 | 2.8 | 3.6 |
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
|
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.