Glances has SQL Injection via Process Names in TimescaleDB Export

Exploitation

No confirmed exploitation recorded. Patch Next marks exploitation only from CISA KEV.

CVSS 4.0

7.3 · 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 · score source

EPSS

• CVE-2026-30930: 0.38% estimated exploitation activity in the next 30 days; percentile 31.86 (FIRST EPSS, 2026-11-03). This is a model estimate, not proof of exploitation or customer exposure.

As published by the source; long descriptions are shortened.

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/glancestimescaledb/init.py, lines 79-93 (normalize function) - File: glances/exports/glancestimescaledb/init.py, lines 201-205 (query construction) PoC - As a normal user, create a process with the name containing the SQL Injection payload: - Start Glances with TimescaleDB export as root user:…

Published by the source

9 Mar 2026, 19:51 UTC

Last modified by the source

13 Jul 2026, 07:26 UTC

Source last checked

26 Oct 2026, 13:37 UTC

1. Revision 3 · amended · 26 Oct 2026

   Amended from ghsa record GHSA-x46r-mf5g-xpr6

2. Revision 2 · amended · 25 Oct 2026

   Reviewed OSV alias/range/CVSS4 correction; package source scopes and original publication preserved. No customer finding resolved.

3. Revision 1 · created · 24 Oct 2026

   Published from osv record GHSA-x46r-mf5g-xpr6

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# Patch Next advisory brief: CVE-2026-30930

Advisory: Glances has SQL Injection via Process Names in TimescaleDB Export
IDs: CVE-2026-30930, GHSA-x46r-mf5g-xpr6
Record: https://patchnext.com/advisories/cve-2026-30930 (revision 3, source checked 26 Oct 2026, 13:37 UTC)
Inventory: none attached. This brief comes from a public page and does not say whether any deployment is affected.
Severity: High (CVSS 7.3)
Exploitation: no confirmed exploitation recorded. Patch Next confirms exploitation only from CISA KEV.
Vendor response: Vendor fix available; fixed versions by package: glances 4.5.1. A vendor fix does not mean a deployment is fixed.

## Affected components
- PyPI glances: affected < 4.5.1; fixed in 4.5.1

## Suggested inspection (read-only)
- `python -m pip show glances`: prints the installed version. Run with the environment that serves production active.

## Supported action
Upgrade each affected component to a fixed version on its release line. For a transitive dependency, upgrade the parent package or add an override or constraint, then regenerate the lockfile. Redeploy every environment that ran an affected version.

## Required regression checks
- Run the test suite and a production build.
- Exercise the features that depend on glances.
- Repeat the inspection and confirm that only fixed versions remain installed.

## Rollback considerations
- Keep the previous lockfile and deployment artifact. Rolling back reinstates the vulnerable version, so apply any documented mitigation while you fix forward.

## Unresolved questions
- Which deployments run an affected version?
- Exploitation status can change. Check again before lowering the priority.
- Mark the work resolved only after the fixed version is verified in production.

## Sources
- Verified: https://osv.dev/vulnerability/GHSA-x46r-mf5g-xpr6 (OSV record GHSA-x46r-mf5g-xpr6 lists affected ranges: PyPI glances >=0 <4.5.1 (fixed))
- Verified: https://github.com/advisories/GHSA-x46r-mf5g-xpr6 (GitHub-reviewed advisory GHSA-x46r-mf5g-xpr6 lists affected ranges: PyPI glances >=0 <4.5.1)

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