CVE-2025-59335
Sept. 23, 2025, 4:51 p.m.
7.1
High
Description
CubeCart is an ecommerce software solution. Prior to version 6.5.11, there is an absence of automatic session expiration following a user's password change. This oversight poses a security risk, as if a user forgets to log out from a location where they accessed their account, an unauthorized user can maintain access even after the password has been changed. Due to this bug, if an account has already been compromised, the legitimate user has no way to revoke the attacker’s access. The malicious actor retains full access to the account until their session naturally expires. This means the account remains insecure even after the password has been changed. This issue has been patched in version 6.5.11.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Cubecart |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-613
Insufficient Session Expiration
According to WASC, "Insufficient Session Expiration is when a web site permits an attacker to reuse old session credentials or session IDs for authorization."
*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 | cubecart | cubecart | / | / | / | / | / | / | / | / |
References
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: LOCAL
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: NONE
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N
Timeline
Published: Sept. 22, 2025, 5:16 p.m.
Last Modified: Sept. 23, 2025, 4:51 p.m.
Last Modified: Sept. 23, 2025, 4:51 p.m.
Status : Analyzed
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.