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Nhost Leaks Refresh Tokens via URL Query Parameter in OAuth Provider Callback

Low severity GitHub Reviewed Published Mar 31, 2026 in nhost/nhost • Updated Apr 1, 2026

Package

gomod github.com/nhost/nhost (Go)

Affected versions

< 0.0.0-20260330133707-294954e0fc3a

Patched versions

0.0.0-20260330133707-294954e0fc3a

Description

Refresh Token Leaked via URL Query Parameter in OAuth Provider Callback

Summary

The auth service's OAuth provider callback flow places the refresh token directly into the redirect URL as a query parameter. Refresh tokens in URLs are logged in browser history, server access logs, HTTP Referer headers, and proxy/CDN logs.

Note that the refresh token is one-time use and all of these leak vectors are on owned infrastructure or services integrated by the application developer.

Affected Component

  • Repository: github.com/nhost/nhost
  • Service: services/auth
  • File: services/auth/go/controller/sign_in_provider_callback_get.go
  • Function: signinProviderProviderCallback (lines 257-261)

Root Cause

In sign_in_provider_callback_get.go:257-261, after successful OAuth sign-in, the refresh token is appended as a URL query parameter:

if session != nil {
    values := redirectTo.Query()
    values.Add("refreshToken", session.RefreshToken)
    redirectTo.RawQuery = values.Encode()
}

This results in a redirect like:

HTTP/1.1 302 Found
Location: https://myapp.com/callback?refreshToken=a1b2c3d4-e5f6-7890-abcd-ef1234567890

Proof of Concept

Step 1: Initiate OAuth login

GET /signin/provider/github?redirectTo=https://myapp.com/callback

Step 2: Complete OAuth flow with provider

Step 3: Auth service redirects with token in URL

HTTP/1.1 302 Found
Location: https://myapp.com/callback?refreshToken=a1b2c3d4-e5f6-7890-abcd-ef1234567890

Step 4: Token is now visible in owned infrastructure and services:

Browser History:

# User's browser history now contains the refresh token

HTTP Referer Header:

# If the callback page loads ANY external resource (image, script, etc.):
GET /resource.js HTTP/1.1
Host: cdn.example.com
Referer: https://myapp.com/callback?refreshToken=a1b2c3d4-e5f6-...
# Note: modern browsers default to strict-origin-when-cross-origin policy,
# which strips query parameters from cross-origin Referer headers.
# Additionally, the Referer is only sent to services integrated by the
# application developer (analytics, CDNs, etc.), not arbitrary third parties.

Server Access Logs:

# Reverse proxy, CDN, or load balancer logs on owned infrastructure:
2026-03-08 12:00:00 GET /callback?refreshToken=a1b2c3d4-e5f6-... 200

Step 5: Attacker uses stolen refresh token

# Exchange stolen refresh token for new access token
curl -X POST https://auth.nhost.run/v1/token \
  -H 'Content-Type: application/json' \
  -d '{"refreshToken": "a1b2c3d4-e5f6-7890-abcd-ef1234567890"}'

# Note: refresh tokens are one-time use, so this only works if the
# legitimate client has not already consumed the token and if the attacker has
# compromised your infrastructure to get access to this information

Impact

  1. Session Hijacking: Anyone who obtains the token before it is consumed by the legitimate client can generate new access tokens, though the refresh token is one-time use and cannot be reused after consumption.

  2. Leak Vectors: URL query parameters are visible in owned infrastructure and integrated services:

    • Browser history (local access)
    • HTTP Referer headers (mitigated by modern browser default referrer policies; only sent to developer-integrated services)
    • Server access logs (owned infrastructure)
    • Proxy/CDN/WAF logs (owned infrastructure)
  3. Affects All OAuth Providers: Every OAuth provider flow (GitHub, Google, Apple, etc.) goes through the same callback handler.

Fix

Implemented PKCE (Proof Key for Code Exchange) for the OAuth flow. With PKCE, the authorization code cannot be exchanged without the code_verifier that only the original client possesses, preventing token misuse even if the URL is logged.

See: https://docs.nhost.io/products/auth/pkce/

Resources

  • OWASP: Session Management - Token Transport: "Session tokens should not be transported in the URL"
  • RFC 6749 Section 10.3: "Access tokens and refresh tokens MUST NOT be included in the redirect URI"
  • CWE-598: Use of GET Request Method With Sensitive Query Strings
  • CWE-200: Exposure of Sensitive Information to an Unauthorized Actor

References

@dbarrosop dbarrosop published to nhost/nhost Mar 31, 2026
Published to the GitHub Advisory Database Apr 1, 2026
Reviewed Apr 1, 2026
Last updated Apr 1, 2026

Severity

Low

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity High
Attack Requirements Present
Privileges Required None
User interaction Passive
Vulnerable System Impact Metrics
Confidentiality None
Integrity None
Availability None
Subsequent System Impact Metrics
Confidentiality Low
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:P/VC:N/VI:N/VA:N/SC:L/SI:N/SA:N

EPSS score

Weaknesses

Exposure of Sensitive Information to an Unauthorized Actor

The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. Learn more on MITRE.

Use of GET Request Method With Sensitive Query Strings

The web application uses the HTTP GET method to process a request and includes sensitive information in the query string of that request. Learn more on MITRE.

CVE ID

CVE-2026-34969

GHSA ID

GHSA-g2qj-prgh-4g9r

Source code

Credits

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