Common Weakness Enumeration

CWE-89

Allowed

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Abstraction: Base · Status: Stable

API response cwe.mitre.org

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.

27542 vulnerabilities reference this CWE, most recent first.

GHSA-5248-H45P-9PGW

Vulnerability from github – Published: 2024-07-12 13:56 – Updated: 2024-11-18 16:26
VLAI
Summary
SQL Injection in the KubeClarity REST API
Details

Summary

A time/boolean SQL Injection is present in the following resource /api/applicationResources via the following parameter packageID

Details

As it can be seen here, while building the SQL Query the fmt.Sprintf function is used to build the query string without the input having first been subjected to any validation.

PoC

The following command should be able to trigger a basic version of the behavior: curl -i -s -k -X $'GET' \ -H $'Host: kubeclarity.test' \ $'https://kubeclarity.test/api/applicationResources?page=1&pageSize=50&sortKey=vulnerabilities&sortDir=DESC&packageID=c89973a6-4e7f-50b5-afe2-6bf6f4d3da0a\'HTTP/2'

Impact

While using the Helm chart, the impact of this vulnerability is limited since it allows read access only to the kuberclarity database, to which access is already given as far as I understand to regular users anyway. On the other hand, if Kuberclarity is deployed in a less secure way, this might allow access to more data then allowed or expected (beyond the limits of the KuberClarity database). The vulnerable line was introduced as part of the initial commit of Kubeclarity, so all versions up until the latest (2.23.1) are assumed vulnerable.

Severity
6.5 (Medium)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
7.1 (High)
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N
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{
  "affected": [
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/openclarity/kubeclarity/backend"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.0.0-20240711173334-1d1178840703"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2024-39909"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2024-07-12T13:56:42Z",
    "nvd_published_at": "2024-07-12T15:15:11Z",
    "severity": "HIGH"
  },
  "details": "### Summary\nA time/boolean SQL Injection is present in the following resource `/api/applicationResources` via the following parameter `packageID`\n\n### Details\nAs it can be seen [here](https://github.com/openclarity/kubeclarity/blob/main/backend/pkg/database/id_view.go#L79), while building the SQL Query the `fmt.Sprintf` function is used to build the query string without the input having first been subjected to any validation.\n\n### PoC\nThe following command should be able to trigger a basic version of the behavior:\n`curl -i -s -k -X $\u0027GET\u0027 \\\n    -H $\u0027Host: kubeclarity.test\u0027 \\\n    $\u0027https://kubeclarity.test/api/applicationResources?page=1\u0026pageSize=50\u0026sortKey=vulnerabilities\u0026sortDir=DESC\u0026packageID=c89973a6-4e7f-50b5-afe2-6bf6f4d3da0a\\\u0027HTTP/2\u0027`\n\n### Impact\nWhile using the Helm chart, the impact of this vulnerability is limited since it allows read access only to the kuberclarity database, to which access is already given as far as I understand to regular users anyway.\nOn the other hand, if Kuberclarity is deployed in a less secure way, this might allow access to more data then allowed or expected (beyond the limits of the KuberClarity database). The vulnerable line was introduced as part of the initial commit of Kubeclarity, so all versions up until the latest (2.23.1) are assumed vulnerable.",
  "id": "GHSA-5248-h45p-9pgw",
  "modified": "2024-11-18T16:26:51Z",
  "published": "2024-07-12T13:56:42Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/openclarity/kubeclarity/security/advisories/GHSA-5248-h45p-9pgw"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-39909"
    },
    {
      "type": "WEB",
      "url": "https://github.com/openclarity/kubeclarity/commit/1d1178840703a72d9082b7fc4aea0a3326c5d294"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/openclarity/kubeclarity"
    },
    {
      "type": "WEB",
      "url": "https://github.com/openclarity/kubeclarity/blob/main/backend/pkg/database/id_view.go#L79"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "SQL Injection in the KubeClarity REST API"
}

GHSA-5255-WP7R-MH9X

Vulnerability from github – Published: 2025-01-19 00:30 – Updated: 2025-01-19 00:30
VLAI
Details

A vulnerability has been found in itsourcecode Farm Management System 1.0 and classified as critical. This vulnerability affects unknown code of the file /add-pig.php. The manipulation of the argument pigno leads to sql injection. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used.

Severity
6.3 (Medium)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
5.3 (Medium)
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N
Show details on source website
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{
  "affected": [],
  "aliases": [
    "CVE-2025-0561"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-74",
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-01-19T00:15:25Z",
    "severity": "MODERATE"
  },
  "details": "A vulnerability has been found in itsourcecode Farm Management System 1.0 and classified as critical. This vulnerability affects unknown code of the file /add-pig.php. The manipulation of the argument pigno leads to sql injection. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used.",
  "id": "GHSA-5255-wp7r-mh9x",
  "modified": "2025-01-19T00:30:42Z",
  "published": "2025-01-19T00:30:42Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-0561"
    },
    {
      "type": "WEB",
      "url": "https://github.com/yunhai666/cve/issues/1"
    },
    {
      "type": "WEB",
      "url": "https://itsourcecode.com"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?ctiid.292522"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?id.292522"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?submit.483396"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}

GHSA-5256-PXR5-XX72

Vulnerability from github – Published: 2022-05-17 00:24 – Updated: 2025-04-20 03:47
VLAI
Details

In PHPSUGAR PHP Melody CMS 2.6.1, SQL Injection exists via the playlist parameter to playlists.php.

Severity
9.8 (Critical)
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Show details on source website
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{
  "affected": [],
  "aliases": [
    "CVE-2017-15081"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-10-24T06:29:00Z",
    "severity": "CRITICAL"
  },
  "details": "In PHPSUGAR PHP Melody CMS 2.6.1, SQL Injection exists via the playlist parameter to playlists.php.",
  "id": "GHSA-5256-pxr5-xx72",
  "modified": "2025-04-20T03:47:33Z",
  "published": "2022-05-17T00:24:36Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-15081"
    },
    {
      "type": "WEB",
      "url": "https://pastebin.com/7Xjm8Wqt"
    },
    {
      "type": "WEB",
      "url": "https://www.exploit-db.com/exploits/43062"
    },
    {
      "type": "WEB",
      "url": "http://w00troot.blogspot.in/2017/10/php-melody-2.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-525G-J2G4-Q3RQ

Vulnerability from github – Published: 2023-02-27 12:30 – Updated: 2023-03-01 00:30
VLAI
Details

A vulnerability was found in SourceCodester Music Gallery Site 1.0 and classified as critical. This issue affects some unknown processing of the file view_category.php. The manipulation of the argument id leads to sql injection. The attack may be initiated remotely. The associated identifier of this vulnerability is VDB-221819.

Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Show details on source website
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{
  "affected": [],
  "aliases": [
    "CVE-2023-1053"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-02-27T11:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "A vulnerability was found in SourceCodester Music Gallery Site 1.0 and classified as critical. This issue affects some unknown processing of the file view_category.php. The manipulation of the argument id leads to sql injection. The attack may be initiated remotely. The associated identifier of this vulnerability is VDB-221819.",
  "id": "GHSA-525g-j2g4-q3rq",
  "modified": "2023-03-01T00:30:36Z",
  "published": "2023-02-27T12:30:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-1053"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?ctiid.221819"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?id.221819"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-5266-47Q9-7V9R

Vulnerability from github – Published: 2022-05-02 00:10 – Updated: 2022-05-02 00:10
VLAI
Details

SQL injection vulnerability in event_detail.php in Built2Go Real Estate Listings 1.5 allows remote attackers to execute arbitrary SQL commands via the event_id parameter.

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{
  "affected": [],
  "aliases": [
    "CVE-2008-4497"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2008-10-09T00:00:00Z",
    "severity": "HIGH"
  },
  "details": "SQL injection vulnerability in event_detail.php in Built2Go Real Estate Listings 1.5 allows remote attackers to execute arbitrary SQL commands via the event_id parameter.",
  "id": "GHSA-5266-47q9-7v9r",
  "modified": "2022-05-02T00:10:36Z",
  "published": "2022-05-02T00:10:36Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2008-4497"
    },
    {
      "type": "WEB",
      "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/45736"
    },
    {
      "type": "WEB",
      "url": "https://www.exploit-db.com/exploits/6697"
    },
    {
      "type": "WEB",
      "url": "http://secunia.com/advisories/32129"
    },
    {
      "type": "WEB",
      "url": "http://securityreason.com/securityalert/4373"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/31628"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-526J-MV3P-F4VV

Vulnerability from github – Published: 2025-07-24 14:19 – Updated: 2025-07-29 23:38
VLAI
Summary
eKuiper API endpoints handling SQL queries with user-controlled table names.
Details

Summary

A critical SQL Injection vulnerability exists in the getLast API functionality of the eKuiper project. This flaw allows unauthenticated remote attackers to execute arbitrary SQL statements on the underlying SQLite database by manipulating the table name input in an API request. Exploitation can lead to data theft, corruption, or deletion, and full database compromise.

Details

The root cause lies in the use of unsanitized user-controlled input when constructing SQL queries using fmt.Sprintf, without validating the table parameter. Specifically, in:

query := fmt.Sprintf("SELECT * FROM %s ORDER BY rowid DESC LIMIT 1", table)

Any value passed as the table parameter is directly interpolated into the SQL string, enabling injection attacks. This is reachable via API interfaces that expose time-series queries.

PoC

  1. Deploy eKuiper instance (default config is sufficient).
  2. Send a crafted request to the SQL query endpoint:
   curl -X POST http://localhost:9081/sql-query \
     -H "Content-Type: application/json" \
     -d '{
       "table": "sensors; DROP TABLE users; --",
       "operation": "getLast"
     }'
  1. Effect: Executes two SQL queries — the first selects data, the second drops the users table.
  2. Verify Result:
   sqlite3 etc/kuiper/data/kuiper.db ".tables"

Impact

CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Refferences

  • https://github.com/lf-edge/ekuiper/commit/72c4918744934deebf04e324ae66933ec089ebd3
Severity
8.9 (High)
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P
Show details on source website
To clipboard 

{
  "affected": [
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/lf-edge/ekuiper/v2"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.2.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/lf-edge/ekuiper"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "1.14.7"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-54379"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-07-24T14:19:17Z",
    "nvd_published_at": "2025-07-24T23:15:26Z",
    "severity": "HIGH"
  },
  "details": "### Summary\nA critical SQL Injection vulnerability exists in the `getLast` API functionality of the eKuiper project. This flaw allows unauthenticated remote attackers to execute arbitrary SQL statements on the underlying SQLite database by manipulating the table name input in an API request. Exploitation can lead to data theft, corruption, or deletion, and full database compromise.\n\n\n### Details\nThe root cause lies in the use of unsanitized user-controlled input when constructing SQL queries using `fmt.Sprintf`, without validating the `table` parameter. Specifically, in:\n\n```go\nquery := fmt.Sprintf(\"SELECT * FROM %s ORDER BY rowid DESC LIMIT 1\", table)\n```\nAny value passed as the `table` parameter is directly interpolated into the SQL string, enabling injection attacks. This is reachable via API interfaces that expose time-series queries.\n\n\n### PoC\n1. **Deploy eKuiper instance** (default config is sufficient).\n2. **Send a crafted request to the SQL query endpoint**:\n```bash\n   curl -X POST http://localhost:9081/sql-query \\\n     -H \"Content-Type: application/json\" \\\n     -d \u0027{\n       \"table\": \"sensors; DROP TABLE users; --\",\n       \"operation\": \"getLast\"\n     }\u0027\n```\n3. **Effect**: Executes two SQL queries \u2014 the first selects data, the second drops the `users` table.\n4. **Verify Result**:\n```bash\n   sqlite3 etc/kuiper/data/kuiper.db \".tables\"\n```\n\n### Impact\nCWE-89: Improper Neutralization of Special Elements used in an SQL Command (\u0027SQL Injection\u0027)\n\n\n### Refferences\n- https://github.com/lf-edge/ekuiper/commit/72c4918744934deebf04e324ae66933ec089ebd3",
  "id": "GHSA-526j-mv3p-f4vv",
  "modified": "2025-07-29T23:38:53Z",
  "published": "2025-07-24T14:19:17Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/lf-edge/ekuiper/security/advisories/GHSA-526j-mv3p-f4vv"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-54379"
    },
    {
      "type": "WEB",
      "url": "https://github.com/lf-edge/ekuiper/commit/72c4918744934deebf04e324ae66933ec089ebd3"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/lf-edge/ekuiper"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P",
      "type": "CVSS_V4"
    }
  ],
  "summary": "eKuiper API endpoints handling SQL queries with user-controlled table names. "
}

GHSA-527R-MFMJ-PRQF

Vulnerability from github – Published: 2022-05-14 01:09 – Updated: 2023-02-08 18:11
VLAI
Summary
Katello SQL Injection vulnerabilities
Details

Multiple SQL injection vulnerabilities in the scoped_search function in app/controllers/katello/api/v2/api_controller.rb in Katello allow remote authenticated users to execute arbitrary SQL commands via the (1) sort_by or (2) sort_order parameter.

Severity
8.8 (High)
CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Show details on source website
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{
  "affected": [
    {
      "package": {
        "ecosystem": "RubyGems",
        "name": "katello"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.4.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2016-3072"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2023-02-08T18:11:20Z",
    "nvd_published_at": "2016-06-07T18:59:00Z",
    "severity": "HIGH"
  },
  "details": "Multiple SQL injection vulnerabilities in the scoped_search function in app/controllers/katello/api/v2/api_controller.rb in Katello allow remote authenticated users to execute arbitrary SQL commands via the (1) sort_by or (2) sort_order parameter.",
  "id": "GHSA-527r-mfmj-prqf",
  "modified": "2023-02-08T18:11:20Z",
  "published": "2022-05-14T01:09:00Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2016-3072"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Katello/katello/pull/6051"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Katello/katello/commit/5645ed4365980a34e30a9c57fe0793dff729e8e4"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2016:1083"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/security/cve/CVE-2016-3072"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=1322050"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/Katello/katello"
    },
    {
      "type": "WEB",
      "url": "https://github.com/rubysec/ruby-advisory-db/blob/master/gems/katello/CVE-2016-3072.yml"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Katello SQL Injection vulnerabilities"
}

GHSA-5287-9XM8-2H7Q

Vulnerability from github – Published: 2022-05-17 00:39 – Updated: 2022-05-17 00:39
VLAI
Details

SQL injection vulnerability in event.php in Mevin Productions Basic PHP Events Lister 1.0 allows remote attackers to execute arbitrary SQL commands via the id parameter.

Show details on source website
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{
  "affected": [],
  "aliases": [
    "CVE-2008-6464"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2009-03-13T10:30:00Z",
    "severity": "HIGH"
  },
  "details": "SQL injection vulnerability in event.php in Mevin Productions Basic PHP Events Lister 1.0 allows remote attackers to execute arbitrary SQL commands via the id parameter.",
  "id": "GHSA-5287-9xm8-2h7q",
  "modified": "2022-05-17T00:39:30Z",
  "published": "2022-05-17T00:39:30Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2008-6464"
    },
    {
      "type": "WEB",
      "url": "https://www.exploit-db.com/exploits/6508"
    },
    {
      "type": "WEB",
      "url": "http://osvdb.org/48499"
    },
    {
      "type": "WEB",
      "url": "http://secunia.com/advisories/31779"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/31278"
    },
    {
      "type": "WEB",
      "url": "http://www.vupen.com/english/advisories/2008/2648"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-528V-JF9W-58XH

Vulnerability from github – Published: 2024-10-14 15:30 – Updated: 2024-10-15 21:30
VLAI
Details

Wavelog 1.8.5 allows Oqrs_model.php get_worked_modes station_id SQL injectioin.

Severity
7.3 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L
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{
  "affected": [],
  "aliases": [
    "CVE-2024-48257"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-10-14T15:15:13Z",
    "severity": "HIGH"
  },
  "details": "Wavelog 1.8.5 allows Oqrs_model.php get_worked_modes station_id SQL injectioin.",
  "id": "GHSA-528v-jf9w-58xh",
  "modified": "2024-10-15T21:30:37Z",
  "published": "2024-10-14T15:30:46Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-48257"
    },
    {
      "type": "WEB",
      "url": "https://github.com/wavelog/wavelog/commit/0bf2675d93602b591850790c8fcfced886eca423"
    },
    {
      "type": "WEB",
      "url": "https://chiggerlor.substack.com/p/unauthenticated-sql-injection-in"
    },
    {
      "type": "WEB",
      "url": "https://www.wavelog.org"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-529G-JXW5-837V

Vulnerability from github – Published: 2021-12-15 00:00 – Updated: 2021-12-17 00:00
VLAI
Details

If configured to use an Oracle database and if a query is created using the flexible search java api with a parameterized "in" clause, SAP Commerce - versions 1905, 2005, 2105, 2011, allows attacker to execute crafted database queries, exposing backend database. The vulnerability is present if the parameterized "in" clause accepts more than 1000 values.

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{
  "affected": [],
  "aliases": [
    "CVE-2021-42064"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-12-14T16:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "If configured to use an Oracle database and if a query is created using the flexible search java api with a parameterized \"in\" clause, SAP Commerce - versions 1905, 2005, 2105, 2011, allows attacker to execute crafted database queries, exposing backend database. The vulnerability is present if the parameterized \"in\" clause accepts more than 1000 values.",
  "id": "GHSA-529g-jxw5-837v",
  "modified": "2021-12-17T00:00:43Z",
  "published": "2021-12-15T00:00:44Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-42064"
    },
    {
      "type": "WEB",
      "url": "https://launchpad.support.sap.com/#/notes/3114134"
    },
    {
      "type": "WEB",
      "url": "https://wiki.scn.sap.com/wiki/display/PSR/SAP+Security+Patch+Day+-+December+2021"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}
Mitigation MIT-4
Architecture and Design

Strategy: Libraries or Frameworks

  • Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid [REF-1482].
  • For example, consider using persistence layers such as Hibernate or Enterprise Java Beans, which can provide significant protection against SQL injection if used properly.
Mitigation MIT-27
Architecture and Design

Strategy: Parameterization

  • If available, use structured mechanisms that automatically enforce the separation between data and code. These mechanisms may be able to provide the relevant quoting, encoding, and validation automatically, instead of relying on the developer to provide this capability at every point where output is generated.
  • Process SQL queries using prepared statements, parameterized queries, or stored procedures. These features should accept parameters or variables and support strong typing. Do not dynamically construct and execute query strings within these features using "exec" or similar functionality, since this may re-introduce the possibility of SQL injection. [REF-867]
Mitigation MIT-17
Architecture and Design Operation

Strategy: Environment Hardening

  • Run your code using the lowest privileges that are required to accomplish the necessary tasks [REF-76]. If possible, create isolated accounts with limited privileges that are only used for a single task. That way, a successful attack will not immediately give the attacker access to the rest of the software or its environment. For example, database applications rarely need to run as the database administrator, especially in day-to-day operations.
  • Specifically, follow the principle of least privilege when creating user accounts to a SQL database. The database users should only have the minimum privileges necessary to use their account. If the requirements of the system indicate that a user can read and modify their own data, then limit their privileges so they cannot read/write others' data. Use the strictest permissions possible on all database objects, such as execute-only for stored procedures.
Mitigation MIT-15
Architecture and Design

For any security checks that are performed on the client side, ensure that these checks are duplicated on the server side, in order to avoid CWE-602. Attackers can bypass the client-side checks by modifying values after the checks have been performed, or by changing the client to remove the client-side checks entirely. Then, these modified values would be submitted to the server.

Mitigation MIT-28
Implementation

Strategy: Output Encoding

  • While it is risky to use dynamically-generated query strings, code, or commands that mix control and data together, sometimes it may be unavoidable. Properly quote arguments and escape any special characters within those arguments. The most conservative approach is to escape or filter all characters that do not pass an extremely strict allowlist (such as everything that is not alphanumeric or white space). If some special characters are still needed, such as white space, wrap each argument in quotes after the escaping/filtering step. Be careful of argument injection (CWE-88).
  • Instead of building a new implementation, such features may be available in the database or programming language. For example, the Oracle DBMS_ASSERT package can check or enforce that parameters have certain properties that make them less vulnerable to SQL injection. For MySQL, the mysql_real_escape_string() API function is available in both C and PHP.
Mitigation MIT-5
Implementation

Strategy: Input Validation

  • Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
  • When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue."
  • Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
  • When constructing SQL query strings, use stringent allowlists that limit the character set based on the expected value of the parameter in the request. This will indirectly limit the scope of an attack, but this technique is less important than proper output encoding and escaping.
  • Note that proper output encoding, escaping, and quoting is the most effective solution for preventing SQL injection, although input validation may provide some defense-in-depth. This is because it effectively limits what will appear in output. Input validation will not always prevent SQL injection, especially if you are required to support free-form text fields that could contain arbitrary characters. For example, the name "O'Reilly" would likely pass the validation step, since it is a common last name in the English language. However, it cannot be directly inserted into the database because it contains the "'" apostrophe character, which would need to be escaped or otherwise handled. In this case, stripping the apostrophe might reduce the risk of SQL injection, but it would produce incorrect behavior because the wrong name would be recorded.
  • When feasible, it may be safest to disallow meta-characters entirely, instead of escaping them. This will provide some defense in depth. After the data is entered into the database, later processes may neglect to escape meta-characters before use, and you may not have control over those processes.
Mitigation MIT-21
Architecture and Design

Strategy: Enforcement by Conversion

When the set of acceptable objects, such as filenames or URLs, is limited or known, create a mapping from a set of fixed input values (such as numeric IDs) to the actual filenames or URLs, and reject all other inputs.

Mitigation MIT-39
Implementation
  • Ensure that error messages only contain minimal details that are useful to the intended audience and no one else. The messages need to strike the balance between being too cryptic (which can confuse users) or being too detailed (which may reveal more than intended). The messages should not reveal the methods that were used to determine the error. Attackers can use detailed information to refine or optimize their original attack, thereby increasing their chances of success.
  • If errors must be captured in some detail, record them in log messages, but consider what could occur if the log messages can be viewed by attackers. Highly sensitive information such as passwords should never be saved to log files.
  • Avoid inconsistent messaging that might accidentally tip off an attacker about internal state, such as whether a user account exists or not.
  • In the context of SQL Injection, error messages revealing the structure of a SQL query can help attackers tailor successful attack strings.
Mitigation MIT-29
Operation

Strategy: Firewall

Use an application firewall that can detect attacks against this weakness. It can be beneficial in cases in which the code cannot be fixed (because it is controlled by a third party), as an emergency prevention measure while more comprehensive software assurance measures are applied, or to provide defense in depth [REF-1481.

Mitigation MIT-16
Operation Implementation

Strategy: Environment Hardening

When using PHP, configure the application so that it does not use register_globals. During implementation, develop the application so that it does not rely on this feature, but be wary of implementing a register_globals emulation that is subject to weaknesses such as CWE-95, CWE-621, and similar issues.

CAPEC-108: Command Line Execution through SQL Injection

An attacker uses standard SQL injection methods to inject data into the command line for execution. This could be done directly through misuse of directives such as MSSQL_xp_cmdshell or indirectly through injection of data into the database that would be interpreted as shell commands. Sometime later, an unscrupulous backend application (or could be part of the functionality of the same application) fetches the injected data stored in the database and uses this data as command line arguments without performing proper validation. The malicious data escapes that data plane by spawning new commands to be executed on the host.

CAPEC-109: Object Relational Mapping Injection

An attacker leverages a weakness present in the database access layer code generated with an Object Relational Mapping (ORM) tool or a weakness in the way that a developer used a persistence framework to inject their own SQL commands to be executed against the underlying database. The attack here is similar to plain SQL injection, except that the application does not use JDBC to directly talk to the database, but instead it uses a data access layer generated by an ORM tool or framework (e.g. Hibernate). While most of the time code generated by an ORM tool contains safe access methods that are immune to SQL injection, sometimes either due to some weakness in the generated code or due to the fact that the developer failed to use the generated access methods properly, SQL injection is still possible.

CAPEC-110: SQL Injection through SOAP Parameter Tampering

An attacker modifies the parameters of the SOAP message that is sent from the service consumer to the service provider to initiate a SQL injection attack. On the service provider side, the SOAP message is parsed and parameters are not properly validated before being used to access a database in a way that does not use parameter binding, thus enabling the attacker to control the structure of the executed SQL query. This pattern describes a SQL injection attack with the delivery mechanism being a SOAP message.

CAPEC-470: Expanding Control over the Operating System from the Database

An attacker is able to leverage access gained to the database to read / write data to the file system, compromise the operating system, create a tunnel for accessing the host machine, and use this access to potentially attack other machines on the same network as the database machine. Traditionally SQL injections attacks are viewed as a way to gain unauthorized read access to the data stored in the database, modify the data in the database, delete the data, etc. However, almost every data base management system (DBMS) system includes facilities that if compromised allow an attacker complete access to the file system, operating system, and full access to the host running the database. The attacker can then use this privileged access to launch subsequent attacks. These facilities include dropping into a command shell, creating user defined functions that can call system level libraries present on the host machine, stored procedures, etc.

CAPEC-66: SQL Injection

This attack exploits target software that constructs SQL statements based on user input. An attacker crafts input strings so that when the target software constructs SQL statements based on the input, the resulting SQL statement performs actions other than those the application intended. SQL Injection results from failure of the application to appropriately validate input.

CAPEC-7: Blind SQL Injection

Blind SQL Injection results from an insufficient mitigation for SQL Injection. Although suppressing database error messages are considered best practice, the suppression alone is not sufficient to prevent SQL Injection. Blind SQL Injection is a form of SQL Injection that overcomes the lack of error messages. Without the error messages that facilitate SQL Injection, the adversary constructs input strings that probe the target through simple Boolean SQL expressions. The adversary can determine if the syntax and structure of the injection was successful based on whether the query was executed or not. Applied iteratively, the adversary determines how and where the target is vulnerable to SQL Injection.

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