CVE-2025-58179
Sept. 5, 2025, 12:15 a.m.
7.2
High
Description
Astro is a web framework for content-driven websites. Versions 11.0.3 through 12.6.5 are vulnerable to SSRF when using Astro's Cloudflare adapter. When configured with output: 'server' while using the default imageService: 'compile', the generated image optimization endpoint doesn't check the URLs it receives, allowing content from unauthorized third-party domains to be served. a A bug in impacted versions of the @astrojs/cloudflare adapter for deployment on Cloudflare’s infrastructure, allows an attacker to bypass the third-party domain restrictions and serve any content from the vulnerable origin. This issue is fixed in version 12.6.6.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Astro |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-918
Server-Side Request Forgery (SSRF)
The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | astro | astro | 11.0.3-12.6.5 | / | / | / | / | / | / | / |
| a | astro | cloudflare_adapter | / | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: CHANGED
- Confidentiality Impact: LOW
- Integrity Impact: LOW
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:N
Timeline
Published: Sept. 5, 2025, 12:15 a.m.
Last Modified: Sept. 5, 2025, 12:15 a.m.
Last Modified: Sept. 5, 2025, 12:15 a.m.
Status : Received
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security-advisories@github.com
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.