{
  "affected": [
    {
      "affectedData": [
        {
          "product": "glances",
          "vendor": "nicolargo",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c 4.5.2"
            }
          ]
        }
      ],
      "source": "security-advisories@github.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:nicolargo:glances:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "3FC19E01-80F1-43BB-912C-39FE99143A59",
              "versionEndExcluding": "4.5.2",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Glances is an open-source system cross-platform monitoring tool. The GHSA-x46r fix (commit 39161f0) addressed SQL injection in the TimescaleDB export module by converting all SQL operations to use parameterized queries and `psycopg.sql` composable objects. However, the DuckDB export module (`glances/exports/glances_duckdb/__init__.py`) was not included in this fix and contains the same class of vulnerability: table names and column names derived from monitoring statistics are directly interpolated into SQL statements via f-strings. While DuckDB INSERT values already use parameterized queries (`?` placeholders), the DDL construction and table name references do not escape or parameterize identifier names. Version 4.5.3 provides a more complete fix."
    },
    {
      "lang": "es",
      "value": "Glances es una herramienta de monitoreo de sistema multiplataforma de c\u00f3digo abierto. La correcci\u00f3n GHSA-x46r (commit 39161f0) abord\u00f3 la inyecci\u00f3n SQL en el m\u00f3dulo de exportaci\u00f3n de TimescaleDB al convertir todas las operaciones SQL para usar consultas parametrizadas y objetos componibles psycopg.sql. Sin embargo, el m\u00f3dulo de exportaci\u00f3n de DuckDB (glances/exports/glances_duckdb/__init__.py) no fue incluido en esta correcci\u00f3n y contiene la misma clase de vulnerabilidad: los nombres de tabla y los nombres de columna derivados de las estad\u00edsticas de monitoreo se interpolan directamente en las sentencias SQL a trav\u00e9s de f-strings. Si bien los valores INSERT de DuckDB ya usan consultas parametrizadas (marcadores de posici\u00f3n ?), la construcci\u00f3n DDL y las referencias a nombres de tabla no escapan ni parametrizan los nombres de identificador. La versi\u00f3n 4.5.3 proporciona una correcci\u00f3n m\u00e1s completa."
    }
  ],
  "id": "CVE-2026-32611",
  "lastModified": "2026-06-17T10:36:05.850",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "HIGH",
          "attackVector": "NETWORK",
          "availabilityImpact": "LOW",
          "baseScore": 7.0,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "LOW",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:L/A:L",
          "version": "3.1"
        },
        "exploitabilityScore": 2.2,
        "impactScore": 4.7,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      },
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 9.1,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 5.2,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-32611",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-03-18T18:50:55.560409Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-03-18T18:16:28.593",
  "references": [
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Patch"
      ],
      "url": "https://github.com/nicolargo/glances/commit/63b7da28895249d775202d639e5531ba63491a5c"
    },
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Release Notes"
      ],
      "url": "https://github.com/nicolargo/glances/releases/tag/v4.5.2"
    },
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Exploit",
        "Vendor Advisory"
      ],
      "url": "https://github.com/nicolargo/glances/security/advisories/GHSA-49g7-2ww7-3vf5"
    },
    {
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "tags": [
        "Exploit",
        "Vendor Advisory"
      ],
      "url": "https://github.com/nicolargo/glances/security/advisories/GHSA-49g7-2ww7-3vf5"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-89"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Secondary"
    }
  ]
}

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "Glances"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "4.5.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-32611"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-03-16T16:34:03Z",
    "nvd_published_at": "2026-03-18T18:16:28Z",
    "severity": "HIGH"
  },
  "details": "## Summary\n\nThe GHSA-x46r fix (commit 39161f0) addressed SQL injection in the TimescaleDB export module by converting all SQL operations to use parameterized queries and `psycopg.sql` composable objects. However, the DuckDB export module (`glances/exports/glances_duckdb/__init__.py`) was not included in this fix and contains the same class of vulnerability: table names and column names derived from monitoring statistics are directly interpolated into SQL statements via f-strings. While DuckDB INSERT values already use parameterized queries (`?` placeholders), the DDL construction and table name references do not escape or parameterize identifier names.\n\n## Details\n\nThe DuckDB export module constructs SQL DDL statements by directly interpolating stat field names and plugin names into f-strings.\n\n**Vulnerable CREATE TABLE construction** (`glances/exports/glances_duckdb/__init__.py:156-162`):\n\n```python\ncreate_query = f\"\"\"\nCREATE TABLE {plugin} (\n{\u0027, \u0027.join(creation_list)}\n);\"\"\"\nself.client.execute(create_query)\n```\n\nThe `creation_list` is built from stat dictionary keys in the `update()` method (`glances/exports/glances_duckdb/__init__.py:117-118`):\n\n```python\nfor key, value in plugin_stats.items():\n    creation_list.append(f\"{key} {convert_types[type(self.normalize(value)).__name__]}\")\n```\n\nThe INSERT statement also uses the unescaped `plugin` name (`glances/exports/glances_duckdb/__init__.py:172-174`):\n\n```python\ninsert_query = f\"\"\"\nINSERT INTO {plugin} VALUES (\n{\u0027, \u0027.join([\u0027?\u0027 for _ in values])}\n);\"\"\"\n```\n\nWhile INSERT values use `?` placeholders (safe), the table name `{plugin}` is directly interpolated in both CREATE TABLE and INSERT INTO statements. Column names in creation_list are also directly interpolated without quoting.\n\n**Comparison with the TimescaleDB fix (commit 39161f0):**\n\nThe TimescaleDB fix addressed this exact pattern by:\n1. Using `psycopg.sql.Identifier()` for table and column names\n2. Using `psycopg.sql.SQL()` for composing queries\n3. Using `%s` placeholders for all values\n\nThe DuckDB module was not part of this fix despite having the same vulnerability class.\n\n**Attack vector:**\n\nThe primary attack vector is through stat dictionary keys. While most keys come from hardcoded psutil field names (e.g., `cpu_percent`, `memory_usage`), any future plugin that introduces dynamic keys from external data (container labels, custom metrics, user-defined sensor names) would create an exploitable injection path. Additionally, the table name (`plugin`) comes from the internal plugins list, but any custom plugin with a crafted name could inject SQL.\n\n## PoC\n\nThe injection is demonstrable when column or table names contain SQL metacharacters:\n\n```python\n# Simulated injection via a hypothetical plugin with dynamic keys\n# If a stat dict contained a key like:\n#   \"cpu_percent BIGINT); DROP TABLE cpu; --\"\n# The creation_list would produce:\n#   \"cpu_percent BIGINT); DROP TABLE cpu; -- VARCHAR\"\n# Which in the CREATE TABLE f-string becomes:\n#   CREATE TABLE plugin_name (\n#     time TIMETZ,\n#     hostname_id VARCHAR,\n#     cpu_percent BIGINT); DROP TABLE cpu; -- VARCHAR\n#   );\n```\n\n```bash\n# Verify with DuckDB export enabled:\n# 1. Configure DuckDB export in glances.conf:\n# [duckdb]\n# database=/tmp/glances.duckdb\n\n# 2. Start Glances with DuckDB export and debug logging\nglances --export duckdb --debug 2\u003e\u00261 | grep \"Create table\"\n\n# 3. Observe the unescaped SQL in debug output\n```\n\n## Impact\n\n- **Defense-in-depth gap:** The identical vulnerability pattern was identified and fixed in TimescaleDB (GHSA-x46r) but the fix was not applied to the sibling DuckDB module. This represents an incomplete patch that leaves the same attack surface open through a different code path.\n\n- **Future exploitability:** If any Glances plugin is added or modified to produce stat dictionary keys from external/user-controlled data (e.g., container metadata, custom metric names, SNMP OID labels), the DuckDB export would become immediately exploitable for SQL injection without any additional code changes.\n\n- **Data integrity:** A successful injection in the CREATE TABLE statement could corrupt the DuckDB database, create unauthorized tables, or modify schema in ways that affect other applications reading from the same database file.\n\n## Recommended Fix\n\nApply the same parameterization approach used in the TimescaleDB fix. DuckDB supports identifier quoting with double quotes:\n\n```python\n# glances/exports/glances_duckdb/__init__.py\n\ndef _quote_identifier(name):\n    \"\"\"Quote a SQL identifier to prevent injection.\"\"\"\n    # DuckDB uses double-quote escaping for identifiers\n    return \u0027\"\u0027 + name.replace(\u0027\"\u0027, \u0027\"\"\u0027) + \u0027\"\u0027\n\ndef export(self, plugin, creation_list, values_list):\n    \"\"\"Export the stats to the DuckDB server.\"\"\"\n    logger.debug(f\"Export {plugin} stats to DuckDB\")\n\n    table_list = [t[0] for t in self.client.sql(\"SHOW TABLES\").fetchall()]\n    if plugin not in table_list:\n        # Quote table and column names to prevent injection\n        quoted_plugin = _quote_identifier(plugin)\n        quoted_fields = []\n        for item in creation_list:\n            parts = item.split(\u0027 \u0027, 1)\n            col_name = _quote_identifier(parts[0])\n            col_type = parts[1] if len(parts) \u003e 1 else \u0027VARCHAR\u0027\n            quoted_fields.append(f\"{col_name} {col_type}\")\n\n        create_query = f\"CREATE TABLE {quoted_plugin} ({\u0027, \u0027.join(quoted_fields)});\"\n        try:\n            self.client.execute(create_query)\n        except Exception as e:\n            logger.error(f\"Cannot create table {plugin}: {e}\")\n            return\n\n    self.client.commit()\n\n    # Insert with quoted table name\n    quoted_plugin = _quote_identifier(plugin)\n    for values in values_list:\n        insert_query = f\"INSERT INTO {quoted_plugin} VALUES ({\u0027, \u0027.join([\u0027?\u0027 for _ in values])});\"\n        try:\n            self.client.execute(insert_query, values)\n        except Exception as e:\n            logger.error(f\"Cannot insert data into table {plugin}: {e}\")\n\n    self.client.commit()\n```",
  "id": "GHSA-49g7-2ww7-3vf5",
  "modified": "2026-03-18T21:48:32Z",
  "published": "2026-03-16T16:34:03Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/nicolargo/glances/security/advisories/GHSA-49g7-2ww7-3vf5"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-32611"
    },
    {
      "type": "WEB",
      "url": "https://github.com/nicolargo/glances/commit/63b7da28895249d775202d639e5531ba63491a5c"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/nicolargo/glances"
    },
    {
      "type": "WEB",
      "url": "https://github.com/nicolargo/glances/releases/tag/v4.5.2"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:L/A:L",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Glances has a SQL Injection in DuckDB Export via Unparameterized DDL Statements"
}

{
  "affected": [
    {
      "ecosystem_specific": {},
      "package": {
        "ecosystem": "PyPI",
        "name": "glances",
        "purl": "pkg:pypi/glances"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "4.5.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "1.3.1",
        "1.3.2",
        "1.3.3",
        "1.3.4",
        "1.3.5",
        "1.3.6",
        "1.3.7",
        "1.4",
        "1.4.1",
        "1.4.1.1",
        "1.4.2",
        "1.4.2.1",
        "1.5",
        "1.5.1",
        "1.5.2",
        "1.6",
        "1.6.1",
        "1.7",
        "1.7.1",
        "1.7.2",
        "1.7.3",
        "1.7.4",
        "1.7.5",
        "1.7.6",
        "1.7.7",
        "2.0",
        "2.0.1",
        "2.1",
        "2.1.1",
        "2.1.2",
        "2.10",
        "2.11",
        "2.11.1",
        "2.2",
        "2.2.1",
        "2.3",
        "2.4",
        "2.4.1",
        "2.4.2",
        "2.5",
        "2.5.1",
        "2.6",
        "2.6.1",
        "2.6.2",
        "2.7",
        "2.7.1",
        "2.8",
        "2.8.1",
        "2.8.2",
        "2.8.3",
        "2.8.4",
        "2.8.5",
        "2.8.6",
        "2.8.7",
        "2.8.8",
        "2.9.0",
        "2.9.1",
        "3.0",
        "3.0.1",
        "3.0.2",
        "3.1.0",
        "3.1.1",
        "3.1.2",
        "3.1.3",
        "3.1.4",
        "3.1.4.1",
        "3.1.5",
        "3.1.6",
        "3.1.6.1",
        "3.1.6.2",
        "3.1.7",
        "3.2.0",
        "3.2.1",
        "3.2.2",
        "3.2.3",
        "3.2.3.1",
        "3.2.4",
        "3.2.4.1",
        "3.2.4.2",
        "3.2.5",
        "3.2.6.1",
        "3.2.6.2",
        "3.2.6.3",
        "3.2.6.4",
        "3.2.7",
        "3.3.0",
        "3.3.0.1",
        "3.3.0.2",
        "3.3.0.3",
        "3.3.0.4",
        "3.3.1",
        "3.3.1.1",
        "3.4.0",
        "3.4.0.1",
        "3.4.0.2",
        "3.4.0.3",
        "3.4.0.4",
        "3.4.0.5",
        "4.0.1",
        "4.0.2",
        "4.0.3",
        "4.0.4",
        "4.0.5",
        "4.0.6",
        "4.0.7",
        "4.0.8",
        "4.1.0",
        "4.1.1",
        "4.1.2",
        "4.2.0",
        "4.2.1",
        "4.3.0",
        "4.3.0.1",
        "4.3.0.3",
        "4.3.0.4",
        "4.3.0.5",
        "4.3.0.6",
        "4.3.0.7",
        "4.3.0.8",
        "4.3.1",
        "4.3.2",
        "4.3.3",
        "4.4.0",
        "4.4.1",
        "4.5.0",
        "4.5.0.1",
        "4.5.0.2",
        "4.5.0.3",
        "4.5.0.4",
        "4.5.0.5",
        "4.5.1"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-32611",
    "GHSA-49g7-2ww7-3vf5"
  ],
  "details": "Glances is an open-source system cross-platform monitoring tool. The GHSA-x46r fix (commit 39161f0) addressed SQL injection in the TimescaleDB export module by converting all SQL operations to use parameterized queries and `psycopg.sql` composable objects. However, the DuckDB export module (`glances/exports/glances_duckdb/__init__.py`) was not included in this fix and contains the same class of vulnerability: table names and column names derived from monitoring statistics are directly interpolated into SQL statements via f-strings. While DuckDB INSERT values already use parameterized queries (`?` placeholders), the DDL construction and table name references do not escape or parameterize identifier names. Version 4.5.3 provides a more complete fix.",
  "id": "PYSEC-2026-2170",
  "modified": "2026-07-13T05:48:56.307397Z",
  "published": "2026-03-18T18:16:28.593Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://github.com/nicolargo/glances/releases/tag/v4.5.2"
    },
    {
      "type": "FIX",
      "url": "https://github.com/nicolargo/glances/commit/63b7da28895249d775202d639e5531ba63491a5c"
    },
    {
      "type": "EVIDENCE",
      "url": "https://github.com/nicolargo/glances/security/advisories/GHSA-49g7-2ww7-3vf5"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N",
      "type": "CVSS_V3"
    }
  ]
}