Lobehub: LobeChat through 2.2.9 contains a broken access control vulnerability in the retrieval-augmented-generation semantic search functionality that… (CVE-2026-59098)
LobeChat through 2.2.9 contains a broken access control vulnerability in the retrieval-augmented-generation semantic search functionality that allows authenticated attackers to access other users' data by exploiting missing user-identifier predicates in the chunk model semanticSearch method. Attackers can supply arbitrary victim file or knowledge-base identifiers through the chunk retrieval and chat knowledge-base paths to retrieve text content, file names, and metadata belonging to other users.
AI Analysis
Technical Summary
The vulnerability in LobeChat (up to version 2.2.9) involves broken access control within the semantic search functionality of the retrieval-augmented-generation feature. Specifically, the chunk model's semanticSearch method lacks proper user-identifier predicates, allowing authenticated attackers to supply arbitrary identifiers for files or knowledge bases belonging to other users. This flaw enables unauthorized access to sensitive data such as text content, file names, and metadata from other users' accounts.
Potential Impact
Authenticated attackers can bypass intended access restrictions to retrieve sensitive information belonging to other users, including text content, file names, and metadata. This compromises user data confidentiality and privacy within the affected LobeChat versions.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, restrict access to the affected semantic search functionality to trusted users only and monitor for suspicious activity involving knowledge-base or file identifier parameters.
Lobehub: LobeChat through 2.2.9 contains a broken access control vulnerability in the retrieval-augmented-generation semantic search functionality that… (CVE-2026-59098)
Description
LobeChat through 2.2.9 contains a broken access control vulnerability in the retrieval-augmented-generation semantic search functionality that allows authenticated attackers to access other users' data by exploiting missing user-identifier predicates in the chunk model semanticSearch method. Attackers can supply arbitrary victim file or knowledge-base identifiers through the chunk retrieval and chat knowledge-base paths to retrieve text content, file names, and metadata belonging to other users.
CVSS v4.0
Affected software
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Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability in LobeChat (up to version 2.2.9) involves broken access control within the semantic search functionality of the retrieval-augmented-generation feature. Specifically, the chunk model's semanticSearch method lacks proper user-identifier predicates, allowing authenticated attackers to supply arbitrary identifiers for files or knowledge bases belonging to other users. This flaw enables unauthorized access to sensitive data such as text content, file names, and metadata from other users' accounts.
Potential Impact
Authenticated attackers can bypass intended access restrictions to retrieve sensitive information belonging to other users, including text content, file names, and metadata. This compromises user data confidentiality and privacy within the affected LobeChat versions.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, restrict access to the affected semantic search functionality to trusted users only and monitor for suspicious activity involving knowledge-base or file identifier parameters.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- GHSA-w676-mrp6-5fqq
- Osv Schema Version
- 1.4.0
- Aliases
- ["CVE-2026-59098"]
- Ecosystems
- []
- Database Specific Severity
- HIGH
- Cvss Version
- 4.0
Threat ID: 6a46eca627e9c7971943a3cb
Added to database: 07/02/2026, 22:56:38 UTC
Last enriched: 07/02/2026, 22:59:53 UTC
Last updated: 07/31/2026, 19:22:59 UTC
Views: 42
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