CVE-2023-30558
Multiple SQL injections in sql/data_dictionary.py table_list method in Archery - GHSL-2022-105
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.pywhich passes unsafe user input to sql/engines/mssql.py, and get_group_tables_by_db in sql/engines/oracle.pywhich 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.
Attack profile
How easy it is to exploit
- Attack vector
- Network
- Complexity
- Low
- Privileges needed
- Low
- User interaction
- None
What an attacker can affect
- Confidentiality
- High
- Integrity
- None
- Availability
- None
Exploit likelihood
What each source reports
CVE List Score used
6.5
Multiple SQL injections in sql/data_dictionary.py table_list method in Archery - GHSL-2022-105
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.pywhich passes unsafe user input to sql/engines/mssql.py, and get_group_tables_by_db in sql/engines/oracle.pywhich 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.
- Record
CVE-2023-30558- CVSS 3.1
- 6.5 Medium
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N - Weakness
- CWE-89
- Updated
- 2026-11-02
EUVDEUVD-2023-34939
6.5
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.pywhich passes unsafe user input to sql/engines/mssql.py, and get_group_tables_by_db in sql/engines/oracle.pywhich 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.
- Record
EUVD-2023-34939- CVSS 3.1
- 6.5 Medium
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N - Updated
- 2026-11-03
NVD
6.5
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.pywhich passes unsafe user input to sql/engines/mssql.py, and get_group_tables_by_db in sql/engines/oracle.pywhich 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.
- Record
CVE-2023-30558- CVSS 3.1
- 6.5 Medium
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N - Weakness
- CWE-89
- Updated
- 2026-11-02
OSV
6.5
Multiple SQL injections in sql/data_dictionary.py table_list method in Archery - GHSL-2022-105
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.pywhich passes unsafe user input to sql/engines/mssql.py, and get_group_tables_by_db in sql/engines/oracle.pywhich 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.
- Record
CVE-2023-30558- CVSS 3.1
- 6.5 Medium
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N - Weakness
- CWE-89
- Updated
- 2026-11-02
Affected products
History
| Recorded | Changed | Sources |
|---|---|---|
| aliases, published | EUVD | |
| first indexed | CVE List, NVD, OSV |
Dates are when Every CVE recorded each change. Upstream dates may differ.
In short
CVE-2023-30558 is a medium vulnerability (CVSS 6.5) in Archerydms Archery, published April 18, 2023. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.83%, the 57th percentile. No source names a fixed version.