CVE-2025-66300
Dec. 2, 2025, 5:16 p.m.
8.5
High
Description
Grav is a file-based Web platform. Prior to 1.8.0-beta.27, A low privilege user account with page editing privilege can read any server files using "Frontmatter" form. This includes Grav user account files (/grav/user/accounts/*.yaml), which store hashed user password, 2FA secret, and the password reset token. This can allow an adversary to compromise any registered account by resetting a password for a user to get access to the password reset token from the file or by cracking the hashed password. This vulnerability is fixed in 1.8.0-beta.27.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Grav |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-22
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.
*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 | grav | grav | <1.8.0-beta.27 | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: CHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: NONE
- Availability Impact: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:L
Timeline
Published: Dec. 1, 2025, 10:15 p.m.
Last Modified: Dec. 2, 2025, 5:16 p.m.
Last Modified: Dec. 2, 2025, 5:16 p.m.
Status : Undergoing Analysis
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.