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VulnerabilityPublished

CVE-2026-26023: langgenius dify · Cross-site Scripting

Affects langgenius difySource CVE Database V5

0

Not known to be exploited · CVSS 5.3 Medium : upgrade to 1.13.0 when convenient.

Data as of 26 Oct 2026, 17:16 UTC

CVSS 4.0 base score
5.3Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 21% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 1.13.0
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:N/SC:L/SI:L/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 11 Feb 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Upgrade langgenius dify to 1.13.0.

Affected software

ProductAffectedFixed in
langgeniusdifyAffected
  • <1.13.0
Fixed in
  • 1.13.0

AI-suggested

To mitigate this vulnerability, organizations should immediately upgrade langgenius dify to version 1.13.0 or later, where the issue is fixed. In addition to patching, developers should implement strict input validation and output encoding for all user and LLM inputs rendered in the chat frontend, especially those integrated into echarts visualizations. Employ a whitelist approach to allowed characters or data formats for chart inputs to prevent injection of executable code. Use security-focused libraries or frameworks that automatically escape or sanitize dynamic content. Implement Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts in the browser context. Conduct thorough security testing, including automated scanning and manual code review, focusing on areas where user input is rendered in JavaScript or HTML contexts. Educate users about the risks of interacting with untrusted chat content and monitor logs for suspicious activity or attempts to inject scripts. Finally, maintain an incident response plan to quickly address any exploitation attempts.

Description

Dify is an open-source LLM app development platform. Prior to 1.13.0, a cross site scripting vulnerability has been found in the web application chat frontend when using echarts. User or llm inputs containing echarts containing a specific javascript payload will be executed. This vulnerability is fixed in 1.13.0.

References

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