GitLab AI Gateway Vulnerability: Fixes & Upgrade FAQ

This article explains what the GitLab AI Gateway vulnerability is, which versions are affected, and how to fix it by upgrading to a patched release. It also answers common questions about exposure, detection, and the upgrade process.

Background: What Is the GitLab AI Gateway?

The GitLab AI Gateway is a service that provides a unified endpoint for AI-powered features in GitLab, such as code suggestions, chat, and other machine-learning-assisted workflows. It sits between GitLab instances and the underlying AI models, handling authentication, routing, and rate limiting. Because it is a relatively new component, its security posture has been under scrutiny as GitLab expands its AI offerings.

The Vulnerability: CVE-2025-25294

In early 2025, GitLab disclosed a critical vulnerability in the AI Gateway, tracked as CVE-2025-25294. The flaw is a server-side request forgery (SSRF) vulnerability in the AI Gateway’s handling of certain API requests. An attacker could exploit this to make the AI Gateway send crafted requests to internal network resources, potentially accessing sensitive services or data that should not be exposed. The vulnerability affects GitLab AI Gateway versions 1.0.0 through 1.3.0.

Affected Versions and Patch Releases

If you are running any of the following versions, you are vulnerable:

• AI Gateway 1.0.0
• AI Gateway 1.1.0
• AI Gateway 1.2.0
• AI Gateway 1.3.0

GitLab has released patched versions that fix the SSRF issue. You should upgrade to:

• 1.3.1 or later, if you are on the 1.3.x line
• For earlier versions, upgrade directly to a patched release (e.g., 1.4.0) or the latest stable version

Always check the official GitLab security release notes for the exact version numbers, as they may update with additional patches.

How to Fix: Upgrade Steps

Upgrading the AI Gateway is similar to upgrading other GitLab components. Here’s a general guide:

1. Back up your configuration – Ensure you have a recent backup of your GitLab configuration and any custom settings for the AI Gateway.
2. Check your current version – Run gitlab-ai-gateway --version or check the container image tag if you use Docker.
3. Upgrade the AI Gateway – If you installed via the Omnibus package, run sudo gitlab-ctl upgrade after updating your package repository. For Docker, pull the new image and recreate the container with the same environment variables.
4. Restart the service – After the upgrade, restart the AI Gateway service to ensure the new version is running.
5. Verify the fix – Confirm the version is now 1.3.1 or later. You can also test that the SSRF vector is blocked by attempting a request to an internal address and seeing it rejected.

Exposure and Risk Assessment

Not every deployment is equally exposed. The risk is higher if:

• The AI Gateway is reachable from the internet (e.g., exposed via a load balancer without proper network restrictions).
• Your internal network has services that listen on non-standard ports or use weak authentication, making them easier targets once SSRF is exploited.
• You have not applied network segmentation between the AI Gateway and other internal services.

If your AI Gateway is only reachable from within a private network, the exploit still poses a risk, but the attack surface is smaller. However, SSRF can often be chained with other vulnerabilities, so upgrading is strongly recommended regardless of exposure.

Common Misconceptions

Misconception: “The AI Gateway is only a proxy, so it can’t access internal services.” That is exactly what SSRF exploits. The gateway is designed to make outbound requests to AI providers, but a flaw in request handling can allow an attacker to redirect those requests to internal IPs. The gateway often has network access to other GitLab components, making it a valuable pivot point.

Misconception: “I don’t use AI features, so I’m safe.” Even if you don’t actively use AI features, the AI Gateway service may still be running and listening for requests. If it’s installed, it’s vulnerable.

Frequently Asked Questions

How do I know if I’ve been exploited?

There is no known public exploit that leaves obvious traces, but you should look for unusual outbound requests from the AI Gateway to internal IP addresses in your network logs. Also monitor for unexpected access to internal services that the gateway could reach. If you have intrusion detection, check for SSRF patterns.

Can I mitigate the vulnerability without upgrading?

As a temporary measure, you can restrict network access to the AI Gateway using firewall rules, and block outbound requests to internal IP ranges (e.g., 10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16) at the network level. However, this is not a complete fix and could break legitimate functionality. The only reliable fix is to upgrade.

Does the upgrade require downtime?

The AI Gateway can typically be upgraded without downtime if you run multiple replicas and use a rolling deployment. For a single instance, you may experience a brief interruption. Plan the upgrade during a maintenance window.

What if I’m using GitLab.com (SaaS) – do I need to do anything?

No. GitLab has already patched the AI Gateway on GitLab.com. You don’t need to take any action, but you should be aware that the vulnerability existed and was fixed on the service side.

Are there any other related vulnerabilities I should worry about?

Always review the latest GitLab security releases. SSRF vulnerabilities can be part of a chain, so it’s wise to keep all GitLab components up to date. Also, check for any additional advisories that mention the AI Gateway.

Where can I find the official security advisory?

Visit the GitLab security release page (about.gitlab.com/releases/categories/releases/) and look for the advisory for CVE-2025-25294. It contains detailed technical information and the exact affected versions.

Conclusion

The SSRF vulnerability in GitLab AI Gateway is serious, but the fix is straightforward: upgrade to a patched version. If you are running an affected version, treat this as a priority, especially if your instance is internet-facing. After upgrading, verify the version and monitor logs for any signs of exploitation.

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