CVE-2024-3502
Nov. 18, 2024, 9:38 p.m.
8.1
High
Description
In lunary-ai/lunary versions up to and including 1.2.5, an information disclosure vulnerability exists where account recovery hashes of users are inadvertently exposed to unauthorized actors. This issue occurs when authenticated users inspect responses from `GET /v1/users/me` and `GET /v1/users/me/org` endpoints. The exposed account recovery hashes, while not directly related to user passwords, represent sensitive information that should not be accessible to unauthorized parties. Exposing these hashes could potentially facilitate account recovery attacks or other malicious activities. The vulnerability was addressed in version 1.2.6.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Lunary |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-200
Exposure of Sensitive Information to an Unauthorized Actor
The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.
CWE-922
Insecure Storage of Sensitive Information
The product stores sensitive information without properly limiting read or write access by unauthorized actors.
*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 | lunary | lunary | / | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N
Timeline
Published: Nov. 14, 2024, 6:15 p.m.
Last Modified: Nov. 18, 2024, 9:38 p.m.
Last Modified: Nov. 18, 2024, 9:38 p.m.
Status : Analyzed
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security@huntr.dev
*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.