CVE-2026-30930: Glances SQL Injection Vulnerability
HIGHCVE-2026-30930 is a HIGH sql injection vulnerability (CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')) affecting Glances libraries in the PyPI ecosystem. The issue involves glances has sql injection via process names in timescaledb export. Remediation is available by upgrading affected packages to version 4.5.1.
CVE-2026-30930 at a Glance
How to Fix CVE-2026-30930
To remediate this vulnerability, upgrade all affected Glances dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.
pip install Glances>=4.5.1
Run the following command in your project directory to verify that all resolved dependencies use the patched release:
pip show Glances
How to Check if You Are Affected
To determine whether your Python environment is affected by CVE-2026-30930, inspect your installed packages using pip:
pip show Glances
Analyze the terminal output to locate any version of Glances in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 4.5.1), your application is affected.
Note: The pip show Glances command checks currently installed packages in your active Python environment.
Technical Details
Vulnerability Mechanism & Technical Analysis
This vulnerability is classified under CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection'), where 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. In Glances, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.
Source Advisory Statement
CVE-2026-30930 Affected Glances Versions
1 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
Glances
|
PyPI |
< 4.5.1
|
4.5.1
|
References
Frequently Asked Questions
What is CVE-2026-30930?
Which Glances versions are affected?
What version fixes CVE-2026-30930?
Is Glances affected?
What CWE is associated with CVE-2026-30930?
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Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-x46r-mf5g-xpr6",
"modified" : "2026-03-10T18:44:40Z",
"published" : "2026-03-09T19:51:35Z",
"aliases" : [ "CVE-2026-30930" ],
"summary" : "Glances has SQL Injection via Process Names in TimescaleDB Export",
"details" : "### Summary\n\nThe TimescaleDB export module constructs SQL queries using string concatenation with unsanitized system monitoring data. The normalize() method wraps string values in single quotes but does not escape embedded single quotes, making SQL injection trivial via attacker-controlled data such as process names, filesystem mount points, network interface names, or container names.\n\nRoot Cause: The normalize() function uses f\"'{value}'\" for string values without escaping single quotes within the value. The resulting strings are concatenated into INSERT queries via string formatting and executed directly with cur.execute() — no parameterized queries are used.\n\n#### Affected Code\n- _File: glances/exports/glances_timescaledb/__init__.py, lines 79-93 (normalize function)_\n```\ndef normalize(self, value):\n \"\"\"Normalize the value to be exportable to TimescaleDB.\"\"\"\n if value is None:\n return 'NULL'\n if isinstance(value, bool):\n return str(value).upper()\n if isinstance(value, (list, tuple)):\n # Special case for list of one boolean\n if len(value) == 1 and isinstance(value[0], bool):\n return str(value[0]).upper()\n return ', '.join([f\"'{v}'\" for v in value])\n if isinstance(value, str):\n return f\"'{value}'\" # <-- NO ESCAPING of single quotes within value\n\n return f\"{value}\"\n```\n\n- _File: glances/exports/glances_timescaledb/__init__.py, lines 201-205 (query construction)_\n```\n# Insert the data\ninsert_list = [f\"({','.join(i)})\" for i in values_list]\ninsert_query = f\"INSERT INTO {plugin} VALUES {','.join(insert_list)};\"\nlogger.debug(f\"Insert data into table: {insert_query}\")\ntry:\n cur.execute(insert_query) # <-- Direct execution of concatenated SQL\n```\n\n### PoC\n- As a normal user, create a process with the name containing the SQL Injection payload:\n```\nexec -a \"x'); COPY (SELECT version()) TO '/tmp/sqli_proof.txt' --\" python3 -c 'import time; [sum(range(500000)) or time.sleep(0.01) for _ in iter(int, 1)]'\n```\n- Start Glances with TimescaleDB export as root user:\n```\nglances --export timescaledb --export-process-filter \".*\" --time 5 --stdout cpu\n```\n- Observe that sqli_proof.txt is created in /tmp directory.\n\n### Impact\n\n- Data Destruction: DROP TABLE, DELETE, TRUNCATE operations against the TimescaleDB database.\n- Data Exfiltration: Using COPY ... TO or subqueries to extract data from other tables.\n- Potential RCE: Via PostgreSQL extensions like COPY ... PROGRAM which executes OS commands.\n- Privilege Escalation: Any local user who can create a process with a crafted name can inject SQL into the database, potentially compromising the entire PostgreSQL instance.",
"severity" : [ {
"type" : "CVSS_V4",
"score" : "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "Glances"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "0"
}, {
"fixed" : "4.5.1"
} ]
} ]
} ],
"references" : [ {
"type" : "WEB",
"url" : "https://github.com/nicolargo/glances/security/advisories/GHSA-x46r-mf5g-xpr6"
}, {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2026-30930"
}, {
"type" : "WEB",
"url" : "https://github.com/nicolargo/glances/commit/39161f0d6fd723d83f534b48f24cdca722573336"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/nicolargo/glances"
}, {
"type" : "WEB",
"url" : "https://github.com/nicolargo/glances/releases/tag/v4.5.1"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-89" ],
"severity" : "HIGH",
"github_reviewed" : true,
"github_reviewed_at" : "2026-03-09T19:51:35Z",
"nvd_published_at" : "2026-03-10T18:18:52Z"
}
}