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GHSA-3w28-36p9-w929
No affected components available
Summary
The Jupyter Notebook (ipynb) sanitizer endpoint at POST /-/api/sanitize_ipynb allows arbitrary data: URIs without proper restrictions, potentially leading to Cross-Site Scripting (XSS). The endpoint uses bluemonday.UGCPolicy() with p.AllowURLSchemes("data") which permits all data URI schemes including data:text/html, enabling attackers to inject malicious HTML/JavaScript. Additionally, the endpoint has no authentication middleware, allowing any registered user to exploit this vulnerability.
Severity
High
Affected Versions
All versions using the vulnerable endpoint
Vulnerability Details
- CVE ID: (To be assigned)
- Entry Point:
POST /-/api/sanitize_ipynb - Attack Vector: Network
- Authentication Required: No (only needs a registered user account)
Impact
An attacker with a registered user account can:
- Send malicious HTML containing
data:text/htmlURIs to the sanitization endpoint - Receive sanitized but attacker-controlled HTML in the response
- Execute arbitrary JavaScript in the attacker's browser context through XSS
- Potentially exploit other users if the sanitized output is rendered in their context
The vulnerability has higher severity because:
- No authentication required (only needs a registered user account)
- Unlike the safer pattern in
internal/markup/sanitizer.go:39which usesisSafeDataURIto only allow safe image MIME types, this endpoint allows ALL data URIs including HTML - The returned HTML can be used to craft XSS attacks
Proof of Concept
Attacker sends a POST request to the sanitization endpoint:
POST /-/api/sanitize_ipynb HTTP/1.1
Host: target.gogs.instance
Content-Type: text/plain
<a href="data:text/html,<script>alert(document.cookie)</script>">click</a>
The server returns the sanitized HTML with the data URI preserved:
<a href="data:text/html,<script>alert(document.cookie)</script>">click</a>
When this HTML is rendered in a browser, the JavaScript within the data URI will execute, leading to XSS.
Affected Component
File: internal/app/api.go:10-16
func ipynbSanitizer() *bluemonday.Policy {
p := bluemonday.UGCPolicy()
p.AllowAttrs("class", "data-prompt-number").OnElements("div")
p.AllowAttrs("class").OnElements("img")
p.AllowURLSchemes("data") // <-- VULNERABLE: allows all data URIs
return p
}
File: cmd/gogs/web.go:681-683 - No authentication middleware
m.Group("/-", func() {
m.Get("/metrics", app.MetricsFilter(), promhttp.Handler())
m.Group("/api", func() {
m.Post("/sanitize_ipynb", app.SanitizeIpynb()) // <-- No auth middleware
})
})
Root Cause
-
Unrestricted data URI scheme: The code at
internal/app/api.go:14usesp.AllowURLSchemes("data")without any restriction, unlike the safer implementation ininternal/markup/sanitizer.go:39which usesAllowURLSchemeWithCustomPolicy("data", isSafeDataURI)to only allow safe image MIME types. -
No authentication: The endpoint at
cmd/gogs/web.go:682does not have any authentication middleware applied, making it accessible to any registered user. -
Insufficient validation: The sanitization only removes dangerous tags/attributes but preserves data URIs, allowing
data:text/htmlpayloads to pass through.
Suggested Fix
Option 1: Use the same safe pattern as internal/markup/sanitizer.go
Replace p.AllowURLSchemes("data") with:
p.AllowURLSchemeWithCustomPolicy("data", isSafeDataURI)
Where isSafeDataURI is a function that only allows safe image MIME types (image/png, image/jpeg, image/gif, etc.).
Option 2: Add authentication middleware
Apply appropriate authentication to the endpoint:
m.Post("/sanitize_ipynb", middleware.signIn, app.SanitizeIpynb())
Option 3: Disable data URI scheme entirely
If data URIs are not required for ipynb sanitization:
// Remove this line entirely:
// p.AllowURLSchemes("data")
The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights.
Limited exploitation activity has been observed. Close monitoring and planned remediation are recommended.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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