CVE-2025-8848: CWE-94 Improper Control of Generation of Code in danny-avila danny-avila/librechat
A vulnerability in danny-avila/librechat version 0.7.9 allows for HTML injection via the Accept-Language header. When a logged-in user sends an HTTP GET request with a crafted Accept-Language header, arbitrary HTML can be injected into the <html lang=""> tag of the response. This can lead to potential security risks such as cross-site scripting (XSS) attacks.
AI Analysis
Technical Summary
CVE-2025-8848 is a vulnerability classified under CWE-94 (Improper Control of Generation of Code) affecting the danny-avila/librechat project, specifically version 0.7.9. The flaw arises from insufficient sanitization of the Accept-Language HTTP header, which is reflected directly into the <html lang=""> attribute of the HTML response. When a logged-in user sends a crafted HTTP GET request with a malicious Accept-Language header, arbitrary HTML code can be injected into the page. This injection can lead to cross-site scripting (XSS) attacks, allowing an attacker to execute malicious scripts in the context of the victim's browser session. The CVSS 3.0 base score is 4.8 (medium severity), with vector AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:N, indicating network attack vector, low attack complexity, high privileges required, user interaction required, scope changed, and limited confidentiality and integrity impact without affecting availability. The vulnerability does not currently have publicly known exploits. The root cause is improper input validation and output encoding of HTTP headers, which are user-controllable. This vulnerability could be exploited to steal session tokens, perform actions on behalf of the user, or conduct phishing attacks within the application context. The lack of a patch link suggests that remediation may still be pending or in progress.
Potential Impact
For European organizations using danny-avila/librechat, this vulnerability poses a risk to user confidentiality and data integrity. Successful exploitation could allow attackers to hijack user sessions, steal sensitive information, or manipulate user interactions within the chat platform. Given that exploitation requires authenticated users and user interaction, the threat is somewhat limited to insider threats or social engineering scenarios. However, in environments where librechat is used for sensitive communications, such as governmental, financial, or healthcare sectors, the impact could be significant. The vulnerability does not affect system availability but undermines trust in the platform's security. Organizations relying on librechat for internal or external communications should be aware of the potential for targeted attacks exploiting this flaw. The medium severity rating reflects the moderate risk level but should not lead to complacency, especially in high-security contexts.
Mitigation Recommendations
To mitigate CVE-2025-8848, organizations should implement strict input validation and output encoding for all HTTP headers, especially the Accept-Language header, to prevent injection of malicious HTML or scripts. Applying Content Security Policy (CSP) headers can help reduce the impact of potential XSS attacks by restricting script execution sources. Since the vulnerability requires authenticated access, enforcing strong authentication mechanisms and monitoring for unusual user behavior can reduce exploitation risk. Organizations should monitor official danny-avila/librechat repositories and security advisories for patches or updates addressing this issue and apply them promptly once available. In the interim, consider implementing web application firewalls (WAFs) with rules to detect and block suspicious Accept-Language header values. Security awareness training for users to recognize phishing or social engineering attempts related to this vulnerability is also recommended. Finally, conduct regular security assessments and penetration tests focusing on input validation weaknesses in web applications.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland, Belgium
CVE-2025-8848: CWE-94 Improper Control of Generation of Code in danny-avila danny-avila/librechat
Description
A vulnerability in danny-avila/librechat version 0.7.9 allows for HTML injection via the Accept-Language header. When a logged-in user sends an HTTP GET request with a crafted Accept-Language header, arbitrary HTML can be injected into the <html lang=""> tag of the response. This can lead to potential security risks such as cross-site scripting (XSS) attacks.
AI-Powered Analysis
Technical Analysis
CVE-2025-8848 is a vulnerability classified under CWE-94 (Improper Control of Generation of Code) affecting the danny-avila/librechat project, specifically version 0.7.9. The flaw arises from insufficient sanitization of the Accept-Language HTTP header, which is reflected directly into the <html lang=""> attribute of the HTML response. When a logged-in user sends a crafted HTTP GET request with a malicious Accept-Language header, arbitrary HTML code can be injected into the page. This injection can lead to cross-site scripting (XSS) attacks, allowing an attacker to execute malicious scripts in the context of the victim's browser session. The CVSS 3.0 base score is 4.8 (medium severity), with vector AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:N, indicating network attack vector, low attack complexity, high privileges required, user interaction required, scope changed, and limited confidentiality and integrity impact without affecting availability. The vulnerability does not currently have publicly known exploits. The root cause is improper input validation and output encoding of HTTP headers, which are user-controllable. This vulnerability could be exploited to steal session tokens, perform actions on behalf of the user, or conduct phishing attacks within the application context. The lack of a patch link suggests that remediation may still be pending or in progress.
Potential Impact
For European organizations using danny-avila/librechat, this vulnerability poses a risk to user confidentiality and data integrity. Successful exploitation could allow attackers to hijack user sessions, steal sensitive information, or manipulate user interactions within the chat platform. Given that exploitation requires authenticated users and user interaction, the threat is somewhat limited to insider threats or social engineering scenarios. However, in environments where librechat is used for sensitive communications, such as governmental, financial, or healthcare sectors, the impact could be significant. The vulnerability does not affect system availability but undermines trust in the platform's security. Organizations relying on librechat for internal or external communications should be aware of the potential for targeted attacks exploiting this flaw. The medium severity rating reflects the moderate risk level but should not lead to complacency, especially in high-security contexts.
Mitigation Recommendations
To mitigate CVE-2025-8848, organizations should implement strict input validation and output encoding for all HTTP headers, especially the Accept-Language header, to prevent injection of malicious HTML or scripts. Applying Content Security Policy (CSP) headers can help reduce the impact of potential XSS attacks by restricting script execution sources. Since the vulnerability requires authenticated access, enforcing strong authentication mechanisms and monitoring for unusual user behavior can reduce exploitation risk. Organizations should monitor official danny-avila/librechat repositories and security advisories for patches or updates addressing this issue and apply them promptly once available. In the interim, consider implementing web application firewalls (WAFs) with rules to detect and block suspicious Accept-Language header values. Security awareness training for users to recognize phishing or social engineering attempts related to this vulnerability is also recommended. Finally, conduct regular security assessments and penetration tests focusing on input validation weaknesses in web applications.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- @huntr_ai
- Date Reserved
- 2025-08-10T18:16:29.790Z
- Cvss Version
- 3.0
- State
- PUBLISHED
Threat ID: 68f8e49237b5c18bc820c5ca
Added to database: 10/22/2025, 2:05:06 PM
Last enriched: 10/31/2025, 4:37:42 AM
Last updated: 12/13/2025, 12:06:33 PM
Views: 65
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