SQL Injection in glances (CVE-2026-35588)
Summary
SQL injection in glances (CVE-2026-35588). Confidential information can be exposed externally. Exploitable via keyspace. Mitigation: upgrade to 4.5.4 or later.
Original description
The description as published by the source.
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, 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
- Configure
glances.confwith malicioustablevalue:
[cassandra]
host = 127.0.0.1
port = 9042
keyspace = glances
table = attacker_ks.captured_stats
- Create attacker keyspace in Cassandra
- Run
glances --export cassandra - All monitoring data is written to
attacker_ks.captured_statsinstead 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 exfi…
Source: OSV.dev (Open Source Vulnerabilities) NVD GitHub Advisory OSV
Auto-generated summary
Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.
A vulnerability tracked as CVE-2026-35588 has been found in glances.
Attackers can target a specific entry point like keyspace over the network to misuse the product.
Confidential information can be exposed externally.
What to do: upgrade glances to 4.5.4 or later.
If unsure, ask your IT team or search "glances CVE-2026-35588" on the vendor's site.
CVE-2026-35588 (glances) — CWE-89
Attack vector: local / no user interaction
Attack surface: keyspace / table / replication_factor / glances.conf
Patched: 4.5.4 — apply immediately
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.
SQL injection (CWE-89) exists in glances. Attackers reach the vulnerable code path via keyspace.
Check the vendor advisory for the affected versions of glances. Attack surface: keyspace / table / replication_factor / glances.conf.
Severity: ?. Confidential information can be exposed externally.
Update to 4.5.4.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'glances' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.
Response actions
Concrete steps and command examples for SOC/SRE teams to execute in order
-
1Identify exposure identify
grep -r 'glances' . | grep -v node_modulesリポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で
glancesを grep し、稼働しているサービス・バージョンを把握する。 -
2Apply patch patch
Upgrade glances to 4.5.4ステージング環境で 4.5.4 に上げて回帰テスト → 本番反映。回帰テストはアプリの主要ハッピーパスを含めること。
-
3Post-deployment verification verify
Confirm patched version is live in productionパッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。
Affected packages
Fix status by distribution
Fixed packages published by each distribution for this CVE
- Debian DEBIAN-CVE-2026-35588 glances
- Ubuntu UBUNTU-CVE-2026-35588 glances
References
- advisory nvd.nist.gov
- package github.com
- web github.com
- web github.com
- web github.com