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      <title>734a89b0-db65-4f6f-acda-f1ad2da3ec76</title>
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      <description>{"uuid": "734a89b0-db65-4f6f-acda-f1ad2da3ec76", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "9f56dd64-161d-43a6-b9c3-555944290a09", "vulnerability": "CVE-2023-30555", "type": "seen", "source": "https://t.me/cibsecurity/62448", "content": "\u203c CVE-2023-30555 \u203c\n\nArchery 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 SQL injection in the `explain` method in `sql_optimize.py`. User input coming from the `db_name` parameter value in the `explain` endpoint is passed to the following `query` methods of each database engine for execution. `query` in `sql/engines/mssql.py`, and `query` in `sql/engines/oracle.py`. 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-2022-108`.\n\n\ud83d\udcd6 Read\n\nvia \"National Vulnerability Database\".", "creation_timestamp": "2023-04-19T07:43:39.000000Z"}</description>
      <content:encoded>{"uuid": "734a89b0-db65-4f6f-acda-f1ad2da3ec76", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "9f56dd64-161d-43a6-b9c3-555944290a09", "vulnerability": "CVE-2023-30555", "type": "seen", "source": "https://t.me/cibsecurity/62448", "content": "\u203c CVE-2023-30555 \u203c\n\nArchery 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 SQL injection in the `explain` method in `sql_optimize.py`. User input coming from the `db_name` parameter value in the `explain` endpoint is passed to the following `query` methods of each database engine for execution. `query` in `sql/engines/mssql.py`, and `query` in `sql/engines/oracle.py`. 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-2022-108`.\n\n\ud83d\udcd6 Read\n\nvia \"National Vulnerability Database\".", "creation_timestamp": "2023-04-19T07:43:39.000000Z"}</content:encoded>
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      <pubDate>Wed, 19 Apr 2023 07:43:39 +0000</pubDate>
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