External risk intelligence

AnythingLLM Cross-Site Scripting Leading to Remote Code Execution

CVE advisorySeverity: CRITICAL (CVSS 9.6)

CVE-2024-3166

A cross-site scripting vulnerability exists in AnythingLLM, allowing arbitrary JavaScript execution when embedding external web content. In the desktop version, this could escalate to remote code execution, posing a risk to users and systems interacting with the application's content integration features. This is a cri

Cross-site Scripting

Mintplexlabs Anythingllm Desktop

before 1.4.21.2.0 and earlier

Halo Surface Signal

Likely · external exposure

4Halo Surface Signal

The vulnerability affects both a desktop application and a web application component. AnythingLLM is frequently deployed as a web application or containerized service intended for user interaction, making its interface and content-fetching features reachable and likely to be exposed in network-connected environments.

Horizon Alert

Summary of the vulnerability and why it matters

A critical security vulnerability has been identified in the AnythingLLM application, affecting its ability to safely embed external web content. This flaw could allow malicious code to run, potentially impacting users and systems that utilize the application's content integration features. The main concern is to confirm if our organization uses this technology and, if so, to understand our exposure.

  • Flaw allows external content to run malicious code.
  • Critical issue needs leadership awareness.
  • Confirm relevance and assess exposure.

Attack Path

How an attacker could exploit the issue

An attacker could exploit this vulnerability by tricking a user into interacting with a malicious website or by directly accessing the application if it's exposed. The application's ability to embed external content is the key, allowing an attacker to inject and execute arbitrary JavaScript. In the desktop version, this could lead to even more severe outcomes, like controlling the user's computer.

  • Entry condition: User interaction with a specially crafted website or exposed application.
  • Trigger point: Fetching and embedding external web content into workspaces.
  • Resulting risk: Arbitrary JavaScript execution and potential remote code execution.

Live Threat

Current exploitation, exposure, and threat context

A cross-site scripting vulnerability in AnythingLLM could allow attackers to execute arbitrary JavaScript code when users interact with embedded web content. In the desktop application, this could lead to remote code execution when insecure Electron settings are enabled.

  • Arbitrary JavaScript code execution.
  • Malicious content can be embedded.
  • Compromise of user or system data.

Operational Fix

Recommended remediation, mitigation, and detection steps

The mintplex-labs/anything-llm vulnerability impacts teams managing application deployments, particularly those with user-facing web or desktop interfaces that fetch external content. Initial triage should focus on inventorying all deployments, assessing their network exposure and business criticality, and identifying the accountable application or platform owner to prioritize remediation.

  • Identify all affected deployments.
  • Verify external reachability and business impact.
  • Plan remediation or risk reduction.

Supplementary metadata

PCI scan relevance

Yes

CVE-2024-3166 — Halo PCI Relevance: Yes. Under typical PCI ASV external scan criteria, this issue may be flagged for scan prioritization.

This cross-site scripting vulnerability is relevant for PCI scans. Cross-site scripting is explicitly listed as a vulnerability type that must be addressed by PCI DSS Requirement 6.5.

Scan-prioritization guidance only—not a PCI DSS certification or ASV attestation.

Validate whether this threat affects your internet-facing exposure.

Halo Threat Intelligence helps prioritize remediation with Halo Surface Signal and H/A/L/O context. Start exposure validation with a free external attack surface trial.

Frequently asked questions

What is AnythingLLM?

AnythingLLM is an application used to create workspaces that interact with large language models. It provides features to fetch, embed, and analyze content directly from websites. Users often deploy it as a desktop tool for local tasks or as a containerized web service to integrate external information into their AI-driven workflows.

What does CWE-79 mean for CVE-2024-3166?

CWE-79 is the technical classification for Cross-Site Scripting (XSS). In this CVE, it means the application fails to properly sanitize web content it fetches for workspaces. Because of this, an attacker can inject and execute arbitrary JavaScript code within the context of the application. On the desktop version, the application's configuration settings can escalate this script execution into full Remote Code Execution, allowing unauthorized control over the host system.

How is this vulnerability triggered?

An attacker triggers the vulnerability by leveraging the application's website-fetching feature. If a user is tricked into having the application embed content from a malicious site, or if they interact with a crafted link, the malicious code executes. Simply having the application installed does not trigger the bug; the specific action of retrieving and rendering untrusted external content is required to initiate the exploit.

Do I need to worry if my AnythingLLM instance is internal?

According to Halo Surface Signal, you should still exercise caution. While network-exposed instances are more accessible, AnythingLLM is frequently deployed as a web application or containerized service intended for broad user interaction. If your internal users can reach the application to fetch external web content, the risk remains relevant regardless of whether the service is on the public internet or an internal network.

How do I respond to this threat?

Begin by auditing your environment to locate all desktop and containerized web deployments of AnythingLLM. Verify if your version is earlier than 1.4.2 for the desktop application, as this update resolves the underlying flaw. If you manage web instances, check your current version against the vendor's latest updates. Prioritize patching systems based on their accessibility and the sensitivity of the data handled within your AI workspaces.

References