GHSA-7g78-5g5g-mvfj
Grav vulnerable to Cross-Site Scripting (XSS) Stored endpoint `/admin/pages/[page]` parameter `data[header][template]` in Advanced Tab
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
Blast Radius
getgrav/gravReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects Packagist packages — download data is not available via public APIs for these ecosystems.
Description
Summary
A Stored Cross-Site Scripting (XSS) vulnerability was identified in the /admin/pages/[page] endpoint of the Grav application. This vulnerability allows attackers to inject malicious scripts into the data[header][template] parameter. The script is saved within the page's frontmatter and executed automatically whenever the affected content is rendered in the administrative interface or frontend view.
Details
Vulnerable Endpoint: POST /admin/pages/[page]
Parameter: data[header][template]
The application fails to properly sanitize user input in the data[header][template] field, which is stored in the YAML frontmatter of the page. An attacker can inject JavaScript code using this field, and the payload is rendered and executed when the page is accessed, especially within the Admin Panel interface.
PoC
Payload:
<script>alert('PoC-XXS73')</script>
Steps to Reproduce:
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Log in to the Grav Admin Panel and navigate to Pages.
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Create a new page or edit an existing one.
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In the Advanced > Template field (which maps to
data[header][template]), insert the payload: -
Save the page.
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Return to the Pages section and click on the three-dot menu of the affected page:
-
The stored XSS payload is triggered, and the script is executed in the browser:
Impact
Stored XSS vulnerabilities can have serious consequences, including:
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Session hijacking: Capturing admin session cookies or tokens
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Malware delivery: Executing scripts that load malicious resources
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Credential theft: Creating fake login prompts to steal usernames/passwords
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Data exposure: Reading sensitive metadata or page contents
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Privilege escalation: Performing actions as an authenticated user
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Website defacement: Altering visual or functional elements of the site
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Reputation damage: Undermining user trust in the application
by CVE-Hunters
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐘Packagist | getgrav/grav | all versions | 1.8.0-beta.27 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for getgrav/grav. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.
Fix
Update getgrav/grav to 1.8.0-beta.27 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-7g78-5g5g-mvfj is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 pinpoints whether GHSA-7g78-5g5g-mvfj is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.
Tailored to GHSA-7g78-5g5g-mvfj. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-7g78-5g5g-mvfj in your dependencies?
O3 detects GHSA-7g78-5g5g-mvfj across Packagist dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.