CVE-2026-1117

Feb. 3, 2026, 4:44 p.m.

8.2
High

Description

A vulnerability in the `lollms_generation_events.py` component of parisneo/lollms version 5.9.0 allows unauthenticated access to sensitive Socket.IO events. The `add_events` function registers event handlers such as `generate_text`, `cancel_generation`, `generate_msg`, and `generate_msg_from` without implementing authentication or authorization checks. This allows unauthenticated clients to execute resource-intensive or state-altering operations, leading to potential denial of service, state corruption, and race conditions. Additionally, the use of global flags (`lollmsElfServer.busy`, `lollmsElfServer.cancel_gen`) for state management in a multi-client environment introduces further vulnerabilities, enabling one client's actions to affect the server's state and other clients' operations. The lack of proper access control and reliance on insecure global state management significantly impacts the availability and integrity of the service.

Product(s) Impacted

Vendor Product Versions
Parisneo
  • Lollms
  • 5.9.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-284
Improper Access Control
The product does not restrict or incorrectly restricts access to a resource from an unauthorized actor.

*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 5.9.0 / / / / / / /

CVSS Score

8.2 / 10

CVSS Data - 3.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: LOW
  • Availability Impact: HIGH
  • CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:H

    View Vector String

Timeline

Published: Feb. 2, 2026, 10:16 a.m.
Last Modified: Feb. 3, 2026, 4:44 p.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*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.