External risk intelligence

JeecgBoot AI Flow Remote Command Execution Vulnerability.

CVE advisorySeverity: CRITICAL (CVSS 9.8)

CVE-2026-75411

JeecgBoot is a widely used low-code development platform and web application framework. These platforms are commonly deployed as internet-facing enterprise portals, web applications, or API management services, making the application logic and internal modules such as AI Flow reachable via standard web traffic.

Code Injection

Halo Surface Signal: 4 out of 5 — likely to be public-facing.

External exposure likelihood

Horizon Alert

Summary of the vulnerability and why it matters

This advisory details a critical vulnerability in the AI Flow module of JeecgBoot, a widely used low-code development platform. The flaw allows for remote command execution through the CodeNode component, potentially enabling attackers to gain unauthorized control over affected systems.

  • Command execution vulnerability in AI Flow module.
  • Widely used platform, common internet exposure.
  • Confirm relevance and assess potential exposure.

Attack Path

How an attacker could exploit the issue

An attacker can target the AI Flow module's CodeNode component in JeecgBoot, which allows Groovy script execution. By exploiting the dynamic nature of Groovy, an attacker can bypass security measures like string concatenation and reflection to execute arbitrary commands on the system. This vulnerability is exposed externally and does not require any user interaction or prior authentication.

  • No authentication or user interaction needed.
  • Bypassing blacklist via Groovy script.
  • Remote command execution risk.

Live Threat

Current exploitation, exposure, and threat context

This vulnerability could allow an unauthenticated attacker to execute arbitrary commands on the server. This is possible because a component designed to handle AI Flow scripts can be tricked into running malicious code, even when security checks are in place.

  • Server-side code execution.
  • Bypassing blacklist security controls.
  • Potential for server compromise.

Operational Fix

Recommended remediation, mitigation, and detection steps

This critical vulnerability in JeecgBoot's AI Flow module requires immediate attention. Ownership likely falls to the application or platform team responsible for the JeecgBoot deployment, with support from security and network teams to assess exposure. The first practical step is to identify all instances of JeecgBoot, confirm network reachability and business criticality, and then coordinate remediation planning with the accountable owner, potentially involving vendor coordination if the platform is managed externally.

  • Application or platform team ownership.
  • Verify network exposure and criticality.
  • Plan and coordinate remediation efforts.

Supplementary metadata

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 JeecgBoot?

JeecgBoot is a popular low-code development platform and web application framework. Developers use it to build enterprise-grade web applications, internal portals, and API management services. It includes modular features like AI Flow, which handles specialized scripting tasks.

What does CWE-94 mean for CVE-2026-75411?

CWE-94 refers to Improper Control of Generation of Code. In this case, the vulnerability allows an attacker to bypass security filters intended to block dangerous commands. By leveraging the dynamic nature of Groovy scripts, an attacker can trick the system into executing unauthorized code, granting them control over the server.

How can an attacker trigger this vulnerability?

An attacker triggers this by sending malicious input to the CodeNode component within the AI Flow module. Because the system's blacklist mechanism relies on predictable patterns, attackers can bypass it using techniques like string concatenation and reflection. Simply sending a crafted script is sufficient, and the bug is not triggered by legitimate, non-malicious script operations.

Is my JeecgBoot instance at risk?

Halo Surface Signal indicates that JeecgBoot is often deployed as an internet-facing service, which increases the likelihood that the AI Flow module is reachable by external actors. If your instance is accessible over the network without authentication, it is at higher risk, as the vulnerability does not require user interaction or prior credentials.

What should I do to address this issue?

Identify all instances of JeecgBoot within your environment and determine if they are exposed to the internet. Once located, coordinate with your platform or application owners to prioritize these systems based on their business criticality. Since this is a critical flaw, initiate remediation planning immediately while monitoring for official security updates from the JeecgBoot project.

References