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NocoDB has Unvalidated Redirect in Login Flow via continueAfterSignIn Parameter

Moderate severity GitHub Reviewed Published Jan 28, 2026 in nocodb/nocodb • Updated Jan 28, 2026

Package

npm nocodb (npm)

Affected versions

< 0.301.0

Patched versions

0.301.0

Description

Summary

An unvalidated redirect (open redirect) vulnerability exists in NocoDB’s login flow due to missing validation of the continueAfterSignIn parameter.

During authentication, NocoDB processes a user-controlled redirect value and conditionally performs client-side navigation without enforcing any restrictions on the destination’s origin, domain or protocol. This allows attackers to redirect authenticated users to arbitrary external websites after login.

Root Cause

The redirect logic relies on a permissive URL check that treats any absolute or protocol-relative URL as safe, and performs navigation without applying an allowlist or origin validation.

In the redirect plugin:

  • The helper function isFullUrl uses the following regular expression:

    /^(https?:)?\/\//

    This pattern matches any HTTP(S) URL as well as protocol-relative URLs (e.g., //evil.example), without restricting allowed domains.

  • When the continueAfterSignIn query parameter matches this pattern, the application performs an unconditional external navigation:

    navigateTo(route.value.query.continueAfterSignIn as string, {
      external: isFullUrl(...)
    })

Attack Scenario

An attacker can exploit this issue through a phishing attack:

  1. The attacker crafts a malicious login URL containing a controlled redirect target, for example:

    https://victim-nocodb.example/#/signin?continueAfterSignIn=https://evil-phishing.com/fake-login
    
  2. The victim clicks the link and is presented with the legitimate NocoDB login page.

  3. The victim authenticates using valid credentials.

  4. After login, NocoDB automatically redirects the victim to the attacker-controlled external site.

  5. The attacker’s site displays a fake error message and prompts the victim to re-enter credentials.

  6. The victim unknowingly submits credentials to the attacker.

Impact

This vulnerability enables phishing attacks by leveraging user trust in the legitimate NocoDB login flow. While it does not directly expose credentials or bypass authentication, it increases the likelihood of credential theft through social engineering.

The issue does not allow arbitrary code execution or privilege escalation, but it undermines authentication integrity.

Credit

This issue was discovered by an AI agent developed by the GitHub Security Lab and reviewed by GHSL team members @p- (Peter Stöckli) and @m-y-mo (Man Yue Mo).

References

@mertmit mertmit published to nocodb/nocodb Jan 28, 2026
Published by the National Vulnerability Database Jan 28, 2026
Published to the GitHub Advisory Database Jan 28, 2026
Reviewed Jan 28, 2026
Last updated Jan 28, 2026

Severity

Moderate

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 Low
Attack Requirements None
Privileges Required Low
User interaction None
Vulnerable System Impact Metrics
Confidentiality None
Integrity High
Availability None
Subsequent System Impact Metrics
Confidentiality None
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:L/AT:N/PR:L/UI:N/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N/E:P

EPSS score

Weaknesses

URL Redirection to Untrusted Site ('Open Redirect')

The web application accepts a user-controlled input that specifies a link to an external site, and uses that link in a redirect. Learn more on MITRE.

CVE ID

CVE-2026-24768

GHSA ID

GHSA-3hmw-8mw3-rmpj

Source code

Credits

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