Cyber Resilience

CVE-2025-43854

Langgenius Dify ≤ 0.6.8

Published
28 April 2025
Modified
17 June 2026
Patch / advisory
CVSS Score v4 2.3
Click a component to see what it means
Raw vectorCVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
EPSS Score 0.0023 14th percentile
Risk Priority 15 floored blend · peak EPSS

Summary

CVE-2025-43854 is a low-severity Improper Restriction of Rendered UI Layers or Frames (CWE-1021) vulnerability in Langgenius Dify. Its CVSS base score is 2.3 (Low).

Operationally, exploitation aligns with the MITRE ATT&CK technique Drive-by Compromise (T1189); ranked at the 14th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

This vulnerability is AI-related — categorised as LLM Application Platforms; in the Privacy and Disclosure risk domain.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

DIFY is an open-source LLM app development platform. Prior to version 1.3.0, a clickjacking vulnerability was found in the default setup of the DIFY application, allowing malicious actors to trick users into clicking on elements of the web page without…

more

their knowledge or consent. This can lead to unauthorized actions being performed, potentially compromising the security and privacy of users. This issue has been fixed in version 1.3.0.

CWE(s)

AI Security AnalysisAI

AI Category
LLM Application Platforms
Risk Domain
Privacy and Disclosure
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Matched keywords: dify, llm

Related Threats

MITRE ATT&CK Enterprise Techniques

T1189 Drive-by Compromise Initial Access
Adversaries may gain access to a system through a user visiting a website over the normal course of browsing.
T1056 Input Capture Collection
Adversaries may use methods of capturing user input to obtain credentials or collect information.
T1557 Adversary-in-the-Middle Credential Access
Adversaries may attempt to position themselves between two or more networked devices using an adversary-in-the-middle (AiTM) technique to support follow-on behaviors such as [Network Sniffing](https://attack.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2026-42138Same product: Langgenius Dify
CVE-2025-49149Same product: Langgenius Dify
CVE-2024-11824Same product: Langgenius Dify
CVE-2025-58747Same product: Langgenius Dify
CVE-2025-3467Same product: Langgenius Dify
CVE-2024-11850Same product: Langgenius Dify
CVE-2024-12775Same product: Langgenius Dify
CVE-2025-32796Same product: Langgenius Dify
CVE-2025-59422Same product: Langgenius Dify
CVE-2025-0184Same product: Langgenius Dify

Affected Assets

langgenius
dify
≤ 0.6.8

Mitigating Controls

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 mostly match
prevents

Secure SDLC practices directly require implementing frame-ancestors / X-Frame-Options controls that prevent this weakness.

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.

finds

Security testing can detect missing frame protections, but does not itself implement the control.

degrades

Web filtering can block or sandbox untrusted frames, but does not enforce application-level frame-busting or CSP.

prevents

Application security requirements can mandate frame-ancestors / X-Frame-Options, directly addressing UI redressing risks.

prevents

Secure architecture principles include isolation of UI layers and proper use of browser security controls.

prevents

Secure coding practices directly require implementation of frame-busting headers or CSP frame-ancestors directives.

References