Security Resilience

CVE-2024-1522

CSRF in Lollms Web Ui 9.0 – 9.2

Public PoCCSRF
Published
30 March 2024
Modified
17 June 2026
Patch / advisory
CVSS Score v3 8.8
Click a component to see what it means
Raw vectorCVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
EPSS Score 0.0044 37th percentile
Risk Priority 66 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2024-1522 is a high-severity CSRF (CWE-352) vulnerability in Lollms Lollms Web Ui. Its CVSS base score is 8.8 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Security Account Manager (T1003.002); ranked at the 37th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

This vulnerability is AI-related — categorised as LLM Application Platforms; in the Other ATLAS/OWASP Terms risk domain.

The strongest mitigations our analysis identified map to AC-3 (Access Enforcement) and SC-23 (Session Authenticity) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

A Cross-Site Request Forgery (CSRF) vulnerability in the parisneo/lollms-webui project allows remote attackers to execute arbitrary code on a victim's system. The vulnerability stems from the `/execute_code` API endpoint, which does not properly validate requests, enabling an attacker to craft…

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a malicious webpage that, when visited by a victim, submits a form to the victim's local lollms-webui instance to execute arbitrary OS commands. This issue allows attackers to take full control of the victim's system without requiring direct network access to the vulnerable application.

CWE(s)

AI Security AnalysisAI

AI Category
LLM Application Platforms
Risk Domain
Other ATLAS/OWASP Terms
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
The parisneo/lollms-webui is a web user interface for interacting with large language models (LLMs), functioning as an AI assistant platform, which aligns with Enterprise AI Assistants category. The vulnerability is a CSRF in its API endpoint, confirmed AI-related via AI/ML bug bounty platform.

Related Threats

MITRE ATT&CK Enterprise Techniques

T1003.002 Security Account Manager Credential Access
Adversaries may attempt to extract credential material from the Security Account Manager (SAM) database either through in-memory techniques or through the Windows Registry where the SAM database is stored.
T1003.005 Cached Domain Credentials Credential Access
Adversaries may attempt to access cached domain credentials used to allow authentication to occur in the event a domain controller is unavailable.
T1003.007 Proc Filesystem Credential Access
Adversaries may gather credentials from the proc filesystem or `/proc`.
T1005 Data from Local System Collection
Adversaries may search local system sources, such as file systems, configuration files, local databases, virtual machine files, or process memory, to find files of interest and sensitive data prior to Exfiltration.
T1012 Query Registry Discovery
Adversaries may interact with the Windows Registry to gather information about the system, configuration, and installed software.
T1016.002 Wi-Fi Discovery Discovery
Adversaries may search for information about Wi-Fi networks, such as network names and passwords, on compromised systems.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-6673Same product: Lollms Lollms Web Ui
CVE-2024-6040Same product: Lollms Lollms Web Ui
CVE-2024-2288Same product: Lollms Lollms Web Ui
CVE-2024-6959Same product: Lollms Lollms Web Ui
CVE-2024-8736Same product: Lollms Lollms Web Ui
CVE-2024-4403Same vendor: Lollms
CVE-2024-4499Same vendor: Lollms
CVE-2024-4839Same vendor: Lollms
CVE-2024-10906Shared CWE-352
CVE-2023-51528Shared CWE-352

Affected Assets

lollms
lollms web ui
9.0 — 9.2

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

—

Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)

—

Validate
Prove the fix (OWASP ASVS)
  • V3.3.2
  • V3.5.1
  • V10.2.1

Mitigating Controls (NIST 800-53 r5) AI

Access enforcement requires verifying that state-changing requests originate from the authenticated user rather than a forged cross-site source.

Protecting session authenticity prevents attackers from replaying or forging authenticated requests via the victim's browser.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 partial match
blocks

Secure SDLC practices directly require anti-CSRF controls such as tokens or SameSite attributes.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

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References