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LibreChat <= 0.7.9 - HTML Injection via Accept-Language Header
| Reporter | Title | Published | Views | Family All 12 |
|---|---|---|---|---|
 | Possible HTML Injection in Accept-Language header | 24 Jul 202513:53 | – | huntr |
 | The vulnerability of the HTTP GET Request Handler component of the LibreChat artificial intelligence-based platform allows a attacker to perform XSS attacks. | 1 Jun 202600:00 | – | bdu_fstec |
 | CVE-2025-8848 | 22 Oct 202515:14 | – | circl |
 | LibreChat 代码注入漏洞 | 22 Oct 202500:00 | – | cnnvd |
 | CVE-2025-8848 | 22 Oct 202513:54 | – | cve |
 | CVE-2025-8848 HTML Injection in Accept-Language Header in danny-avila/librechat | 22 Oct 202513:54 | – | cvelist |
 | EUVD-2025-35577 | 22 Oct 202515:31 | – | euvd |
 | CVE-2025-8848 | 22 Oct 202514:15 | – | nvd |
 | CVE-2025-8848 HTML Injection in Accept-Language Header in danny-avila/librechat | 22 Oct 202513:54 | – | osv |
 | PT-2025-43144 | 22 Oct 202500:00 | – | ptsecurity |
10
id: CVE-2025-8848
info:
name: LibreChat <= 0.7.9 - HTML Injection via Accept-Language Header
author: Kazgangap
severity: medium
description: |
danny-avila/librechat 0.7.9 contains a stored XSS caused by improper sanitization of the Accept-Language header, letting logged-in users inject arbitrary HTML into the html lang= tag, exploit requires user to be logged in.
impact: |
Logged-in attackers can inject arbitrary HTML leading to cross-site scripting attacks, potentially compromising user sessions or data.
remediation: |
Update to the latest version where this issue is fixed.
reference:
- https://nvd.nist.gov/vuln/detail/CVE-2025-8848
- https://huntr.com/bounties/a05ebc1f-882a-4adc-b178-d3cefa4b730e
- https://github.com/danny-avila/LibreChat
classification:
cvss-metrics: CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N
cvss-score: 5.4
cve-id: CVE-2025-8848
epss-score: 0.00417
epss-percentile: 0.34221
cwe-id: CWE-79
metadata:
verified: true
max-request: 1
fofa-query: app="LibreChat"
tags: cve,cve2025,librechat,html-injection
variables:
marker: "{{rand_base(20)}}"
http:
- method: GET
path:
- "{{BaseURL}}/"
headers:
Accept-Language: "<h3>{{marker}}</h3>"
matchers-condition: and
matchers:
- type: word
words:
- '<html lang="<h3>{{marker}}</h3>">'
- 'LibreChat'
condition: and
- type: status
status:
- 200
# digest: 4b0a00483046022100f68d716ec4fb3697b7f38cad1cd6ed2e9450d169261420867760308046419fbd022100e3a633221b5b72e2bdeb61304f3f90d2e5b07992bd70611ea037b1afb0ece7a3:922c64590222798bb761d5b6d8e72950Data
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04 Feb 2026 07:00Current
5.9Medium risk
Vulners AI Score5.9
CVSS 3.15.4
CVSS 34.8
EPSS0.00417
SSVC