Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:NSummary
CVE-2023-0507 is a high-severity Cross-site Scripting (CWE-79) vulnerability in Grafana Grafana. Its CVSS base score is 7.3 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked in the top 4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
Grafana, an open-source monitoring and observability platform, contains a stored cross-site scripting vulnerability in the core GeoMap plugin that affects versions in the 8.1 branch and later. The flaw stems from insufficient sanitization of map attributions, which permits arbitrary JavaScript to execute in the context of any authenticated user who views a compromised dashboard.
An attacker with Editor privileges can modify a panel to embed malicious JavaScript within a map attribution. When a user with higher privileges, such as an Administrator, subsequently views the dashboard, the script runs and can perform actions including changing the Administrator password, enabling vertical privilege escalation.
Official advisories from Grafana recommend upgrading to versions 8.5.21, 9.2.13, or 9.3.8 to remediate the issue; NetApp has also issued corresponding guidance for affected products.
The CVE carries a CVSS score of 7.3 and is tracked under CWE-79, with an EPSS score that has reached a peak of 0.6615.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-1035
Vulnerability Data
Grafana is an open-source platform for monitoring and observability. Starting with the 8.1 branch, Grafana had a stored XSS vulnerability affecting the core plugin GeoMap. The stored XSS vulnerability was possible due to map attributions weren't properly sanitized and allowed…
more
arbitrary JavaScript to be executed in the context of the currently authorized user of the Grafana instance. An attacker needs to have the Editor role in order to change a panel to include a map attribution containing JavaScript. This means that vertical privilege escalation is possible, where a user with Editor role can change to a known password for a user having Admin role if the user with Admin role executes malicious JavaScript viewing a dashboard. Users may upgrade to version 8.5.21, 9.2.13 and 9.3.8 to receive a fix.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
—
—
—
V1.1.2V1.3.2
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Validates web inputs to reject script-related content that could produce XSS.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly target introduction of XSS via coding standards/testing (mostly), yet the single broad outcome leaves many specific neutralization vectors unaddressed (partial).
Patching and EOL replacement can remediate known XSS instances in libraries or frameworks (partial) but do nothing to enforce input neutralization in application code (none).
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Secure-coding testing and automated code-analysis tools are applied to detect improper neutralization of script-related content during web-page generation.
Knowledge exchange on emerging attack techniques and patches reduces the likelihood that cross-site scripting flaws remain unaddressed in deployed applications.
Operational indicators of compromise for web-application attacks can be incorporated into WAF or input-filtering rules, lowering the likelihood that unsanitized data reaches the browser.
Requiring language-specific secure-coding standards and automated scanning during the SDLC catches missing output encoding or improper neutralization of untrusted data before the software reaches production.
Secure-coding standards, SAST scans and removal of insecure code samples together eliminate the failure to neutralize script content that produces cross-site scripting flaws.
Webpage malware scanning and block-listing of known malicious sites reduce the likelihood that reflected or stored script payloads reach a user’s browser.