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CVE-2025-43862: CWE-284: Improper Access Control in langgenius dify

Medium
Published: Fri Apr 25 2025 (04/25/2025, 15:05:32 UTC)
Source: CVE
Vendor/Project: langgenius
Product: dify

Description

Dify is an open-source LLM app development platform. Prior to version 0.6.12, a normal user is able to access and modify APP orchestration, even though the web UI of APP orchestration is not presented for a normal user. This access control flaw allows non-admin users to make unauthorized access and changes on the APPSs. This issue has been patched in version 0.6.12. A workaround for this vulnerability involves updating the the access control mechanisms to enforce stricter user role permissions and implementing role-based access controls (RBAC) to ensure that only users with admin privileges can access Orchestration of the APPs.

AI-Powered Analysis

AILast updated: 06/24/2025, 13:41:01 UTC

Technical Analysis

CVE-2025-43862 is an improper access control vulnerability (CWE-284) found in langgenius's open-source platform 'dify' used for developing large language model (LLM) applications. Versions prior to 0.6.12 of dify allow normal, non-admin users to access and modify APP orchestration components, despite the web UI for orchestration being hidden from these users. This flaw arises due to missing or insufficient authorization checks (CWE-862), enabling unauthorized users to perform actions reserved for administrators. Specifically, the vulnerability permits non-privileged users to alter the orchestration logic of deployed applications, potentially changing workflows, data flows, or execution sequences within the LLM apps. The issue was addressed in version 0.6.12 by enforcing stricter role-based access control (RBAC) mechanisms, ensuring only users with admin privileges can access or modify orchestration settings. No known exploits have been reported in the wild as of the publication date (April 25, 2025). The vulnerability is significant because orchestration controls are critical to the correct and secure operation of LLM-based applications, and unauthorized modifications could lead to data leakage, integrity violations, or disruption of service. The flaw stems from inadequate enforcement of user roles and permissions within the platform's backend, not merely UI-level restrictions, highlighting the importance of backend authorization checks in multi-user environments.

Potential Impact

For European organizations utilizing dify for LLM app development, this vulnerability poses a risk of unauthorized internal modification of critical application workflows. Attackers or malicious insiders with normal user accounts could manipulate orchestration logic, potentially causing data integrity issues, unauthorized data access, or disruption of AI-driven services. This could lead to compromised confidentiality if sensitive data is rerouted or exposed, integrity breaches through altered processing logic, and availability impacts if orchestration changes cause application failures. Given the growing adoption of AI and LLM platforms in sectors such as finance, healthcare, and public administration across Europe, exploitation could undermine trust in AI services and lead to regulatory compliance issues under GDPR if personal data is affected. Although no public exploits are known, the medium severity rating indicates a moderate risk that could escalate if attackers develop exploits. The vulnerability also highlights the risk of insider threats or compromised user accounts being leveraged to escalate privileges indirectly.

Mitigation Recommendations

European organizations should immediately upgrade all dify deployments to version 0.6.12 or later to apply the official patch. Where immediate patching is not feasible, implement strict role-based access control (RBAC) at the application and infrastructure levels to ensure only verified admin users can access orchestration features. Conduct thorough audits of user permissions and remove unnecessary privileges from normal users. Monitor logs for unusual orchestration modification attempts or access patterns. Employ network segmentation and zero-trust principles to limit lateral movement from compromised user accounts. Additionally, integrate multi-factor authentication (MFA) for all user accounts with access to dify environments to reduce the risk of credential compromise. Regularly review and update access control policies and conduct security training to raise awareness about insider threats. Finally, consider deploying runtime application self-protection (RASP) or web application firewalls (WAF) with custom rules to detect and block unauthorized orchestration API calls until patches are fully deployed.

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Technical Details

Data Version
5.1
Assigner Short Name
GitHub_M
Date Reserved
2025-04-17T20:07:08.556Z
Cisa Enriched
true

Threat ID: 682d983ec4522896dcbf0244

Added to database: 5/21/2025, 9:09:18 AM

Last enriched: 6/24/2025, 1:41:01 PM

Last updated: 8/18/2025, 7:16:02 AM

Views: 35

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