« Volver al listado

CVE-2023-30557

Estado: ModificadaMedia (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. Affected versions are subject to SQL injection in the `data_dictionary.py` `table_info`.

Leer descripción completaMostrar menos

User input coming from the `db_name` in and the `tb_name` parameter values in the `sql/data_dictionary.py` `table_info` endpoint is passed to the following methods in the 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 methods are `get_table_meta_data ` in `sql/engines/mssql.py` which passes unsafe user input to the `sql/engines/mssql.py` `query` method, `get_table_desc_data` in `sql/engines/mssql.py`which passes unsafe user input to the `sql/engines/mssql.py` `query`, `get_table_index_data` in `sql/engines/mssql.py`which passes unsafe user input to the `sql/engines/mssql.py` `query` method, `get_table_meta_data` in `sql/engines/oracle.py`which concatenates input which is passed to execution on the database in the `sql/engines/oracle.py` `query` method, `get_table_desc_data` in `sql/engines/oracle.py`which concatenates input which is passed to execution on the database in the `sql/engines/oracle.py` `query` method, and `get_table_index_data` 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-2022-106`.

CVSS

Probabilidad de explotación (EPSS)

EPSS (Exploit Prediction Scoring System, de FIRST) estima la probabilidad de que una vulnerabilidad sea explotada en 30 días. Complementa a CVSS (impacto) y a CISA KEV (explotación confirmada).

Tecnologías afectadas (1)

CWE

Referencias

JSON original (NVD)

Mostrar
{
  "id": "CVE-2023-30557",
  "cveTags": [],
  "metrics": {
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2023-30557",
          "role": "CISA Coordinator",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "version": "2.0.3",
          "timestamp": "2025-02-06T17:13:26.140083Z"
        }
      }
    ],
    "cvssMetricV31": [
      {
        "type": "Secondary",
        "source": "security-advisories@github.com",
        "cvssData": {
          "scope": "UNCHANGED",
          "version": "3.1",
          "baseScore": 6.5,
          "attackVector": "NETWORK",
          "baseSeverity": "MEDIUM",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
          "integrityImpact": "NONE",
          "userInteraction": "NONE",
          "attackComplexity": "LOW",
          "availabilityImpact": "NONE",
          "privilegesRequired": "LOW",
          "confidentialityImpact": "HIGH"
        },
        "impactScore": 3.6,
        "exploitabilityScore": 2.8
      },
      {
        "type": "Primary",
        "source": "nvd@nist.gov",
        "cvssData": {
          "scope": "UNCHANGED",
          "version": "3.1",
          "baseScore": 6.5,
          "attackVector": "NETWORK",
          "baseSeverity": "MEDIUM",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
          "integrityImpact": "NONE",
          "userInteraction": "NONE",
          "attackComplexity": "LOW",
          "availabilityImpact": "NONE",
          "privilegesRequired": "LOW",
          "confidentialityImpact": "HIGH"
        },
        "impactScore": 3.6,
        "exploitabilityScore": 2.8
      }
    ]
  },
  "affected": [
    {
      "source": "security-advisories@github.com",
      "affectedData": [
        {
          "vendor": "hhyo",
          "product": "Archery",
          "versions": [
            {
              "status": "affected",
              "version": "<= 1.9.0"
            }
          ]
        }
      ]
    }
  ],
  "published": "2023-04-19T00:15:09.717",
  "references": [
    {
      "url": "https://github.com/hhyo/Archery/blob/bc86cda4c3b7d59f759d0d23bb63a54f52616752/sql/data_dictionary.py#L47-L86",
      "tags": [
        "Exploit"
      ],
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/hhyo/Archery/security/advisories/GHSA-9pvw-f8jv-xxjr",
      "tags": [
        "Exploit",
        "Mitigation",
        "Vendor Advisory"
      ],
      "source": "security-advisories@github.com"
    },
    {
      "url": "https://github.com/hhyo/Archery/blob/bc86cda4c3b7d59f759d0d23bb63a54f52616752/sql/data_dictionary.py#L47-L86",
      "tags": [
        "Exploit"
      ],
      "source": "af854a3a-2127-422b-91ae-364da2661108"
    },
    {
      "url": "https://github.com/hhyo/Archery/security/advisories/GHSA-9pvw-f8jv-xxjr",
      "tags": [
        "Exploit",
        "Mitigation",
        "Vendor Advisory"
      ],
      "source": "af854a3a-2127-422b-91ae-364da2661108"
    }
  ],
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "type": "Secondary",
      "source": "security-advisories@github.com",
      "description": [
        {
          "lang": "en",
          "value": "CWE-89"
        }
      ]
    }
  ],
  "descriptions": [
    {
      "lang": "en",
      "value": "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 SQL injection in the `data_dictionary.py` `table_info`. User input coming from the `db_name` in and the `tb_name` parameter values in the `sql/data_dictionary.py` `table_info` endpoint is passed to the following methods in the 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 methods are `get_table_meta_data ` in `sql/engines/mssql.py` which passes unsafe user input to the `sql/engines/mssql.py` `query` method, `get_table_desc_data` in `sql/engines/mssql.py`which passes unsafe user input to the `sql/engines/mssql.py` `query`, `get_table_index_data` in `sql/engines/mssql.py`which passes unsafe user input to the `sql/engines/mssql.py` `query` method, `get_table_meta_data` in `sql/engines/oracle.py`which concatenates input which is passed to execution on the database in the `sql/engines/oracle.py` `query` method, `get_table_desc_data` in `sql/engines/oracle.py`which concatenates input which is passed to execution on the database in the `sql/engines/oracle.py` `query` method, and `get_table_index_data` 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-2022-106`."
    }
  ],
  "lastModified": "2026-06-17T05:55:01.427",
  "configurations": [
    {
      "nodes": [
        {
          "negate": false,
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:archerydms:archery:1.9.0:*:*:*:*:*:*:*",
              "vulnerable": true,
              "matchCriteriaId": "DCE3AAB2-FAE8-440E-8BD4-3367BF3639D5"
            }
          ],
          "operator": "OR"
        }
      ]
    }
  ],
  "sourceIdentifier": "security-advisories@github.com"
}