AUGUST 4, 2026
Live Feed
Back to database
Case File

CVE-2023-30553

MEDIUM · CVSS 6.5 EPSS 0.83% Public Exploit

Source: NVD + CISA KEV + EPSS (historical backfill) · Published 2023-04-19 · Last synced 2026-08-04

CyberRota Analysis

This is a medium severity vulnerability with a CVSS score of 6.5. It affects Oracle. Public exploit code or proof-of-concept references have been detected in its references. It involves a SQL injection risk.

Public Exploit Signal

A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.

GitHub PoC Links

Note: these links are listed for security research and verification purposes only.

CVE
CVE-2023-30553
Severity
MEDIUM
CVSS
6.5
EPSS
0.83%
Oracle

Original NVD Description

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. Affected versions are subject to multiple SQL injections in the `sql_api/api_workflow.py` endpoint `ExecuteCheck`. User input coming from the `db_name` parameter value and the `full_sql` parameter value in the `api_workflow.py` `ExecuteCheck` endpoint is passed to the methods that follow in 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 `execute_check` in `sql/engines/clickhouse.py` which concatenates input which is passed to execution on the database in the `sql/engines/clickhouse.py` `query` method, `execute_check` in `sql/engines/goinception.py`which concatenates input which is passed to execution on the database in the `sql/engines/goinception.py` `query` method, `execute_check` in `sql/engines/oracle.py`which passes unsafe user input into the `object_name_check` method in `sql/engines/oracle.py` which in turn 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-2022-102`.

Related CVEs

Other vulnerabilities affecting the same vendor(s)