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• CVE-2026-33420 • published on May 5, 2026 Vaultwarden is a Bitwarden-compatible server written in Rust. In version 1.35.4 and earlier, the get_org_collections_details endpoint (GET /api/organizations/{org_id}/collections/details) is missing the has_full_access() authorization check that exists on the sibling get_org_collections endpoint. This allows any Manager-role user with accessAll=False and no collection assignments to retrieve the names, UUIDs, user-to-collection mappings, and group-to-collection mappings for all collections in the organization. This issue has been fixed in version 1.35.5.
• CVE-2026-33420 • published on May 5, 2026 Vaultwarden is a Bitwarden-compatible server written in Rust. In version 1.35.4 and earlier, the get_org_collections_details endpoint (GET /api/organizations/{org_id}/collections/details) is missing the has_full_access() authorization check that exists on the sibling get_org_collections endpoint. This allows any Manager-role user with accessAll=False and no collection assignments to retrieve the names, UUIDs, user-to-collection mappings, and group-to-collection mappings for all collections in the organization. This issue has been fixed in version 1.35.5.
• CVE-2026-33420 • published on May 5, 2026 Vaultwarden is a Bitwarden-compatible server written in Rust. In version 1.35.4 and earlier, the get_org_collections_details endpoint (GET /api/organizations/{org_id}/collections/details) is missing the has_full_access() authorization check that exists on the sibling get_org_collections endpoint. This allows any Manager-role user with accessAll=False and no collection assignments to retrieve the names, UUIDs, user-to-collection mappings, and group-to-collection mappings for all collections in the organization. This issue has been fixed in version 1.35.5.
• CVE-2026-33420 • published on May 5, 2026 Vaultwarden is a Bitwarden-compatible server written in Rust. In version 1.35.4 and earlier, the get_org_collections_details endpoint (GET /api/organizations/{org_id}/collections/details) is missing the has_full_access() authorization check that exists on the sibling get_org_collections endpoint. This allows any Manager-role user with accessAll=False and no collection assignments to retrieve the names, UUIDs, user-to-collection mappings, and group-to-collection mappings for all collections in the organization. This issue has been fixed in version 1.35.5.
• CVE-2026-33420 • published on May 5, 2026 Vaultwarden is a Bitwarden-compatible server written in Rust. In version 1.35.4 and earlier, the get_org_collections_details endpoint (GET /api/organizations/{org_id}/collections/details) is missing the has_full_access() authorization check that exists on the sibling get_org_collections endpoint. This allows any Manager-role user with accessAll=False and no collection assignments to retrieve the names, UUIDs, user-to-collection mappings, and group-to-collection mappings for all collections in the organization. This issue has been fixed in version 1.35.5.
• CVE-2026-33420 • published on May 5, 2026 Vaultwarden is a Bitwarden-compatible server written in Rust. In version 1.35.4 and earlier, the get_org_collections_details endpoint (GET /api/organizations/{org_id}/collections/details) is missing the has_full_access() authorization check that exists on the sibling get_org_collections endpoint. This allows any Manager-role user with accessAll=False and no collection assignments to retrieve the names, UUIDs, user-to-collection mappings, and group-to-collection mappings for all collections in the organization. This issue has been fixed in version 1.35.5.
• CVE-2026-33420 • published on May 5, 2026 Vaultwarden is a Bitwarden-compatible server written in Rust. In version 1.35.4 and earlier, the get_org_collections_details endpoint (GET /api/organizations/{org_id}/collections/details) is missing the has_full_access() authorization check that exists on the sibling get_org_collections endpoint. This allows any Manager-role user with accessAll=False and no collection assignments to retrieve the names, UUIDs, user-to-collection mappings, and group-to-collection mappings for all collections in the organization. This issue has been fixed in version 1.35.5.
• CVE-2026-33420 • published on May 5, 2026 Vaultwarden is a Bitwarden-compatible server written in Rust. In version 1.35.4 and earlier, the get_org_collections_details endpoint (GET /api/organizations/{org_id}/collections/details) is missing the has_full_access() authorization check that exists on the sibling get_org_collections endpoint. This allows any Manager-role user with accessAll=False and no collection assignments to retrieve the names, UUIDs, user-to-collection mappings, and group-to-collection mappings for all collections in the organization. This issue has been fixed in version 1.35.5.
• CVE-2026-33324 • published on May 5, 2026 SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and the SQL extracted from the LLM response is executed against the database without validation or sanitization. An authenticated attacker can craft a malicious question to manipulate the LLM into generating and executing arbitrary SQL statements. When connected to a PostgreSQL data source, this can lead to remote code execution via COPY FROM PROGRAM. This issue has been fixed in version 1.7.1.
• CVE-2026-33324 • published on May 5, 2026 SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and the SQL extracted from the LLM response is executed against the database without validation or sanitization. An authenticated attacker can craft a malicious question to manipulate the LLM into generating and executing arbitrary SQL statements. When connected to a PostgreSQL data source, this can lead to remote code execution via COPY FROM PROGRAM. This issue has been fixed in version 1.7.1.
• CVE-2026-33324 • published on May 5, 2026 SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and the SQL extracted from the LLM response is executed against the database without validation or sanitization. An authenticated attacker can craft a malicious question to manipulate the LLM into generating and executing arbitrary SQL statements. When connected to a PostgreSQL data source, this can lead to remote code execution via COPY FROM PROGRAM. This issue has been fixed in version 1.7.1.
• CVE-2026-33324 • published on May 5, 2026 SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and the SQL extracted from the LLM response is executed against the database without validation or sanitization. An authenticated attacker can craft a malicious question to manipulate the LLM into generating and executing arbitrary SQL statements. When connected to a PostgreSQL data source, this can lead to remote code execution via COPY FROM PROGRAM. This issue has been fixed in version 1.7.1.
• CVE-2026-33324 • published on May 5, 2026 SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and the SQL extracted from the LLM response is executed against the database without validation or sanitization. An authenticated attacker can craft a malicious question to manipulate the LLM into generating and executing arbitrary SQL statements. When connected to a PostgreSQL data source, this can lead to remote code execution via COPY FROM PROGRAM. This issue has been fixed in version 1.7.1.
• CVE-2026-33324 • published on May 5, 2026 SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and the SQL extracted from the LLM response is executed against the database without validation or sanitization. An authenticated attacker can craft a malicious question to manipulate the LLM into generating and executing arbitrary SQL statements. When connected to a PostgreSQL data source, this can lead to remote code execution via COPY FROM PROGRAM. This issue has been fixed in version 1.7.1.
• CVE-2026-33324 • published on May 5, 2026 SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and the SQL extracted from the LLM response is executed against the database without validation or sanitization. An authenticated attacker can craft a malicious question to manipulate the LLM into generating and executing arbitrary SQL statements. When connected to a PostgreSQL data source, this can lead to remote code execution via COPY FROM PROGRAM. This issue has been fixed in version 1.7.1.
• CVE-2026-33324 • published on May 5, 2026 SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and the SQL extracted from the LLM response is executed against the database without validation or sanitization. An authenticated attacker can craft a malicious question to manipulate the LLM into generating and executing arbitrary SQL statements. When connected to a PostgreSQL data source, this can lead to remote code execution via COPY FROM PROGRAM. This issue has been fixed in version 1.7.1.
• CVE-2026-33324 • published on May 5, 2026 SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and the SQL extracted from the LLM response is executed against the database without validation or sanitization. An authenticated attacker can craft a malicious question to manipulate the LLM into generating and executing arbitrary SQL statements. When connected to a PostgreSQL data source, this can lead to remote code execution via COPY FROM PROGRAM. This issue has been fixed in version 1.7.1.
• CVE-2026-33324 • published on May 5, 2026 SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and the SQL extracted from the LLM response is executed against the database without validation or sanitization. An authenticated attacker can craft a malicious question to manipulate the LLM into generating and executing arbitrary SQL statements. When connected to a PostgreSQL data source, this can lead to remote code execution via COPY FROM PROGRAM. This issue has been fixed in version 1.7.1.
• CVE-2026-33324 • published on May 5, 2026 SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and the SQL extracted from the LLM response is executed against the database without validation or sanitization. An authenticated attacker can craft a malicious question to manipulate the LLM into generating and executing arbitrary SQL statements. When connected to a PostgreSQL data source, this can lead to remote code execution via COPY FROM PROGRAM. This issue has been fixed in version 1.7.1.
• CVE-2026-33324 • published on May 5, 2026 SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and the SQL extracted from the LLM response is executed against the database without validation or sanitization. An authenticated attacker can craft a malicious question to manipulate the LLM into generating and executing arbitrary SQL statements. When connected to a PostgreSQL data source, this can lead to remote code execution via COPY FROM PROGRAM. This issue has been fixed in version 1.7.1.