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NocoDB Vulnerable to Stored Cross-Site Scripting via SVG upload

High 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

A stored Cross-site Scripting (XSS) vulnerability exists in NocoDB’s attachment handling mechanism. Authenticated users can upload malicious SVG files containing embedded JavaScript, which are later rendered inline and executed in the browsers of other users who view the attachment.

Because the malicious payload is stored server-side and executed under the application’s origin, successful exploitation can lead to account compromise, data exfiltration and unauthorized actions performed on behalf of affected users.


Vulnerability Details

NocoDB allows file attachments to be previewed inline based on their MIME type. Due to overly permissive MIME type checks and a lack of content sanitization, SVG files containing executable JavaScript are incorrectly treated as safe image content and rendered directly in the browser.

Root Cause

The vulnerability results from a combination of overly permissive MIME type classification and unsafe file serving behavior.

1. Permissive MIME Type Check

In attachmentHelpers.ts, files are considered previewable if their MIME type contains certain substrings:

const previewableMimeTypes = ['image', 'pdf', 'video', 'audio'];

export const isPreviewAllowed = (args: { mimetype?: string } = {}) => {
  const { mimetype } = args;
  if (!mimetype) return false;
  return previewableMimeTypes.some((type) => mimetype.includes(type));
};

This substring-based check (includes) causes files with the MIME type image/svg+xml to be classified as safe for inline preview. However, SVG is an XML-based format that supports executable JavaScript via <script> elements, event handlers, and external references.

No additional validation or sanitization is performed on SVG content after this classification.

2. Unsafe Inline File Serving

Uploaded attachments are served by the fileReadv3 endpoint in attachments.controller.ts without sanitization or content-type enforcement:

@Get('/dltemp/:param(*)')
async fileReadv3(@Param('param') param: string, @Res() res: Response) {
  // No authentication guard

  // Sets headers from query parameters
  res.setHeader('Content-Type', queryParams.contentType);
  res.setHeader('Content-Disposition', queryParams.contentDisposition);

  // Sends raw file content
  res.sendFile(file.path);
}

The endpoint:

  • Preserves the original Content-Type (image/svg+xml)
  • Uses Content-Disposition: inline
  • Sends the raw file contents unmodified

As a result, browsers render the SVG inline and execute any embedded JavaScript under the NocoDB application’s origin.


Impact

This is a stored XSS vulnerability that can be exploited by authenticated users with permission to upload attachments.

Potential impacts include:

  • Account takeover
  • Theft of session cookies or API tokens
  • Unauthorized actions performed on behalf of victims
  • Privilege escalation if higher-privileged users view the malicious attachment

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

High

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 Passive
Vulnerable System Impact Metrics
Confidentiality High
Integrity High
Availability High
Subsequent System Impact Metrics
Confidentiality High
Integrity High
Availability High

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:P/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:P

EPSS score

Weaknesses

Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. Learn more on MITRE.

Unrestricted Upload of File with Dangerous Type

The product allows the upload or transfer of dangerous file types that are automatically processed within its environment. Learn more on MITRE.

CVE ID

CVE-2026-24769

GHSA ID

GHSA-q5c6-h22r-qpwr

Source code

Credits

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