Quick answer
Direct answer
Risk scores
| CVSS metric | What it means |
|---|---|
| Attack vector (AV:L) | Local access needed |
| Attack complexity (AC:L) | Low complexity |
| Attack requirements (AT:N) | No attack requirements |
| Privileges required (PR:N) | No privileges required |
| User interaction (UI:N) | No user interaction |
| Confidentiality (VC:H) | High confidentiality impact |
| Integrity (VI:H) | High integrity impact |
| Availability (VA:H) | High availability impact |
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/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
About Nicolargo Glances
CVE-2026-30930 affects Nicolargo Glances, a product from Nicolargo. Before acting, confirm where Nicolargo Glances runs in your estate, who owns it and whether it is reachable from the internet, because exposure decides real risk more than the score alone.
What the flaw is
In plain terms: Glances is an open-source system cross-platform monitoring tool. Prior to 4.5.1, 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. This vulnerability is fixed in 4.5.1.
The weakness class is SQL Injection. Untrusted input changes the meaning of a database query.
Based on its CVSS vector, the flaw needs local or adjacent access, needs no login, and needs no user interaction. Apply the vendor fix and confirm exposure on internet facing and business critical assets first.
Affected versions and timeline
| Field | Detail |
|---|---|
| Product | Nicolargo Glances |
| Affected versions | Glances before 4.5.1 |
| Published | Mar 10, 2026 |
| Last modified | Jun 17, 2026 |
| Added to CISA KEV | Not listed |
| Assigning CNA | security-advisories@github.com |
How to detect it
- Inventory every instance of Nicolargo Glances and record the running version against the affected range above.
- Check external attack surface scans for internet facing instances of the component.
- Review logs on affected systems for unusual requests, errors or new processes around the vulnerable function.
- Confirm with an authenticated vulnerability scan once your scanner has a check for this CVE.
How to fix it
- Apply the fixed version of Nicolargo Glances named in the vendor advisory.
- If patching must wait, restrict network access to the affected service and put it behind authentication or a web application firewall rule.
- Rescan after the change to prove the exposure is gone, then close the ticket.
CTEM action plan
| CTEM stage | What to do for this CVE |
|---|---|
| Scope | Add every business service that depends on Nicolargo Glances to the current CTEM cycle. |
| Discover | Find all instances, including shadow and cloud deployments, and record versions and exposure. |
| Prioritize | Rank using EPSS and CVSS together with asset exposure and business impact. |
| Validate | Confirm the flaw is reachable and exploitable in your environment and that compensating controls work. |
| Mobilize | Assign the fix to the asset owner with a due date matched to the priority, then verify closure. |
CWE References
- CWE-89: SQL Injection More CVEs with this weakness
Technical References
Frequently asked questions
Related CVEs
Glances is an open-source system cross-platform monitoring tool. Prior to version 4.5.4, a Server-Side Request Forgery (SSRF) vulnerability exists in the Glances IP plugin due to improper validation of the public_api configuration parameter. The value of public_api is used directly in outbound HTTP requests without any scheme restriction or hostname/IP validation. An attacker who can modify the Glances configuration can force the application to send requests to arbitrary internal or external endpoints. Additionally, when public_username and public_password are set, Glances automatically includes these credentials in the Authorization: Basic header, resulting in credential leakage to attacker-controlled servers. This vulnerability can be exploited to access internal network services, retrieve sensitive data from cloud metadata endpoints, and/or exfiltrate credentials via outbound HTTP requests. The issue arises because public_api is passed directly to the HTTP client (urlopen_auth) without validation, allowing unrestricted outbound connections and unintended disclosure of sensitive information. Version 4.5.4 contains a patch.
Glances is an open-source system cross-platform monitoring tool. The GHSA-x46r fix (commit 39161f0) addressed SQL injection in the TimescaleDB export module by converting all SQL operations to use parameterized queries and `psycopg.sql` composable objects. However, the DuckDB export module (`glances/exports/glances_duckdb/__init__.py`) was not included in this fix and contains the same class of vulnerability: table names and column names derived from monitoring statistics are directly interpolated into SQL statements via f-strings. While DuckDB INSERT values already use parameterized queries (`?` placeholders), the DDL construction and table name references do not escape or parameterize identifier names. Version 4.5.3 provides a more complete fix.
Glances is an open-source system cross-platform monitoring tool. Prior to 4.5.2, Glances web server runs without authentication by default when started with `glances -w`, exposing REST API with sensitive system information including process command-lines containing credentials (passwords, API keys, tokens) to any network client. Version 4.5.2 fixes the issue.
Glances is an open-source system cross-platform monitoring tool. Prior to 4.5.1, the /api/4/config REST API endpoint returns the entire parsed Glances configuration file (glances.conf) via self.config.as_dict() with no filtering of sensitive values. The configuration file contains credentials for all configured backend services including database passwords, API tokens, JWT signing keys, and SSL key passwords. This vulnerability is fixed in 4.5.1.
Budibase is an open-source low-code platform. Prior to 3.39.12, an unauthenticated visitor of any published Budibase app reads every document of the backing MongoDB, CouchDB, Elasticsearch, DynamoDB-PartiQL, or REST-with-JSON-body collection and, where the builder has published a PUBLIC write query, modifies every document of that collection with one HTTP request. enrichContext at packages/server/src/sdk/workspace/queries/queries.ts:121-138 substitutes parameter values into the raw JSON body of a query, then JSON.parses the result. The validator validateQueryInputs at packages/server/src/api/controllers/query/index.ts:61-71 rejects only Handlebars markers ({{, }}) in user input and does not escape JSON metacharacters (", \, }). A parameter value containing a closing quote and additional keys lifts attacker-controlled fields into the parsed filter object. For Mongo find, the parsed filter passes directly to collection.find() (packages/server/src/integrations/mongodb.ts:506-510). Duplicate-key JSON parsing overrides the builder's {name: "..."} with {name: {$exists: true}} and returns every document. The same primitive against an updateMany query (mongodb.ts:577-585) widens the filter scope to the full collection while the builder-controlled $set body runs against every matched document. The authorized middleware at packages/server/src/middleware/authorized.ts:141-148 short-circuits when the query's role is PUBLIC. CSRF is not enforced on this path. POST /api/v2/queries/:queryId (packages/server/src/api/routes/query.ts:63) accepts the call with no session, only an x-budibase-app-id header that is public from the published-app URL. This vulnerability is fixed in 3.39.12.
Joomla Extension - joomcode.com - Unauthenticated SQL injection in read and write queries in JCTables 1.21.1 - The front-end CRUD API controller performs no Joomla token validation and no authentication check on any task. Table names, column names, and values are taken directly from request parameters and concatenated into SQL queries, allowing SQLi for reading and writing queries.
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