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Glances has CQL Injection in its Cassandra Export Module via Unsanitized Config Values

Moderate severity GitHub Reviewed Published Apr 19, 2026 in nicolargo/glances • Updated Apr 21, 2026

Package

pip glances (pip)

Affected versions

< 4.5.4

Patched versions

4.5.4

Description

Summary

The Cassandra export module (glances/exports/glances_cassandra/__init__.py) interpolates keyspace, table, and replication_factor configuration values directly into CQL statements without validation. A user with write access to glances.conf can redirect all monitoring data to an attacker-controlled Cassandra keyspace.

Vulnerable Code

# Line 80
f"CREATE KEYSPACE {self.keyspace} WITH "
f"replication = {{ 'class': 'SimpleStrategy', 'replication_factor': '{self.replication_factor}' }}"

# Line 94
f"CREATE TABLE {self.table} (plugin text, time timeuuid, stat map<text,float>, PRIMARY KEY (plugin, time)) WITH CLUSTERING ORDER BY (time DESC)"

# Line 112
stmt = f"INSERT INTO {self.table} (plugin, time, stat) VALUES (?, ?, ?)"

Steps to Reproduce

  1. Configure glances.conf with malicious table value:
[cassandra]
host = 127.0.0.1
port = 9042
keyspace = glances
table = attacker_ks.captured_stats
  1. Create attacker keyspace in Cassandra
  2. Run glances --export cassandra
  3. All monitoring data is written to attacker_ks.captured_stats instead of the legitimate table

Confirmed output:

INSERT stmt: INSERT INTO attacker_ks.captured_stats (plugin, time, stat) VALUES (?, ?, ?)
Legitimate table row count: 0
Attacker table row count: 1
[CONFIRMED] plugin=cpu, stat={'user': 50.0}

Impact

All exported monitoring data (CPU, memory, network, disk I/O) is silently redirected to an attacker-controlled Cassandra keyspace — both data exfiltration and data loss.

Proposed Fix

import re

def _validate_cql_identifier(name: str) -> str:
    if not re.match(r'^[a-zA-Z_][a-zA-Z0-9_.]*$', name):
        raise ValueError(f"Invalid CQL identifier: {name!r}")
    return name

# In __init__(): validate before use
self.keyspace = _validate_cql_identifier(self.keyspace)
self.table = _validate_cql_identifier(self.table)

PoC

References

@nicolargo nicolargo published to nicolargo/glances Apr 19, 2026
Published by the National Vulnerability Database Apr 21, 2026
Published to the GitHub Advisory Database Apr 21, 2026
Reviewed Apr 21, 2026
Last updated Apr 21, 2026

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Local
Attack complexity
Low
Privileges required
High
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
Low

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:L

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(11th percentile)

Weaknesses

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

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. Learn more on MITRE.

CVE ID

CVE-2026-35588

GHSA ID

GHSA-grp3-h8m8-45p7

Source code

Credits

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