CVE-2026-30930 — glances
Fix: nicolargo/glances@39161f0CVE-2026-30930 is a SQL Injection vulnerability in glances. A fix is available for glances — see the affected versions and patch details below.
Glances has SQL Injection via Process Names in TimescaleDB Export
Exploitation Status
Proof-of-concept exploit code exists
- CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
- A successful exploit gives an attacker total control of the affected component, not partial access.
Exploitation and automatability from CISA’s SSVC triage for CVE-2026-30930.
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
Real-World Exposure
glancesReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
Description
Summary
The 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.
Root 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.
Affected Code
- File: glances/exports/glances_timescaledb/init.py, lines 79-93 (normalize function)
def normalize(self, value):
"""Normalize the value to be exportable to TimescaleDB."""
if value is None:
return 'NULL'
if isinstance(value, bool):
return str(value).upper()
if isinstance(value, (list, tuple)):
# Special case for list of one boolean
if len(value) == 1 and isinstance(value[0], bool):
return str(value[0]).upper()
return ', '.join([f"'{v}'" for v in value])
if isinstance(value, str):
return f"'{value}'" # <-- NO ESCAPING of single quotes within value
return f"{value}"
- File: glances/exports/glances_timescaledb/init.py, lines 201-205 (query construction)
# Insert the data
insert_list = [f"({','.join(i)})" for i in values_list]
insert_query = f"INSERT INTO {plugin} VALUES {','.join(insert_list)};"
logger.debug(f"Insert data into table: {insert_query}")
try:
cur.execute(insert_query) # <-- Direct execution of concatenated SQL
PoC
- As a normal user, create a process with the name containing the SQL Injection payload:
exec -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)]'
- Start Glances with TimescaleDB export as root user:
glances --export timescaledb --export-process-filter ".*" --time 5 --stdout cpu
- Observe that sqli_proof.txt is created in /tmp directory.
Impact
- Data Destruction: DROP TABLE, DELETE, TRUNCATE operations against the TimescaleDB database.
- Data Exfiltration: Using COPY ... TO or subqueries to extract data from other tables.
- Potential RCE: Via PostgreSQL extensions like COPY ... PROGRAM which executes OS commands.
- 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.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | glances | all versions | 4.5.1pip install --upgrade 'glances==4.5.1' |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for glances, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update glances to 4.5.1 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-30930 is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like CVE-2026-30930 can be triaged on real exposure rather than presence alone.
Tailored to CVE-2026-30930. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is CVE-2026-30930 in your dependencies?
O3 Security finds CVE-2026-30930 across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.