CVE-2026-0562
March 30, 2026, 1:26 p.m.
8.3
High
Description
A critical security vulnerability in parisneo/lollms versions up to 2.2.0 allows any authenticated user to accept or reject friend requests belonging to other users. The `respond_request()` function in `backend/routers/friends.py` does not implement proper authorization checks, enabling Insecure Direct Object Reference (IDOR) attacks. Specifically, the `/api/friends/requests/{friendship_id}` endpoint fails to verify whether the authenticated user is part of the friendship or the intended recipient of the request. This vulnerability can lead to unauthorized access, privacy violations, and potential social engineering attacks. The issue has been addressed in version 2.2.0.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Parisneo |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-863
Incorrect Authorization
The product performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. This allows attackers to bypass intended access restrictions.
*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 | parisneo | lollms | <2.2.0 | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.0
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: LOW
CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:L
Timeline
Published: March 29, 2026, 6:16 p.m.
Last Modified: March 30, 2026, 1:26 p.m.
Last Modified: March 30, 2026, 1:26 p.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
*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.