{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-45397",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-05-18T14:34:06.524296Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-05-18T14:34:37.463Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "references": [
          {
            "tags": [
              "exploit"
            ],
            "url": "https://github.com/open-webui/open-webui/security/advisories/GHSA-65pg-qhhw-mxwg"
          }
        ],
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "open-webui",
          "vendor": "open-webui",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c 0.9.5"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. Prior to 0.9.5, GET /api/v1/retrieval/ returns live RAG pipeline configuration to any unauthenticated HTTP client. No Authorization header, cookie, or API key is required. Every adjacent endpoint on the same router (/embedding, /config) is correctly guarded by get_admin_user making this a targeted omission. This vulnerability is fixed in 0.9.5."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 5.3,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "LOW",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-306",
              "description": "CWE-306: Missing Authentication for Critical Function",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-05-15T20:34:23.736Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://github.com/open-webui/open-webui/security/advisories/GHSA-65pg-qhhw-mxwg",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/open-webui/open-webui/security/advisories/GHSA-65pg-qhhw-mxwg"
        }
      ],
      "source": {
        "advisory": "GHSA-65pg-qhhw-mxwg",
        "discovery": "UNKNOWN"
      },
      "title": "Open WebUI: Unauthenticated RAG Configuration Disclosure"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2026-45397",
    "datePublished": "2026-05-15T20:34:23.736Z",
    "dateReserved": "2026-05-12T01:48:40.451Z",
    "dateUpdated": "2026-05-18T14:34:37.463Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "open-webui"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.9.5"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-45397"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-306"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-05-14T20:26:34Z",
    "nvd_published_at": "2026-05-15T21:16:37Z",
    "severity": "MODERATE"
  },
  "details": "**Vulnerability Type:** Information Disclosure / Missing Authentication  \n**Severity:** Medium  \n**Component:** `backend/open_webui/routers/retrieval.py` \u2014 `get_status()` (`GET /`)  \n**Affected Endpoint:** `GET /api/v1/retrieval/`  \n**Affected Version:** Open WebUI `main` branch \u2014 confirmed unpatched through **v0.9.2**  \n**Authentication Required:** None \u2014 internet-facing with zero credentials  \n**CVSSv3.1 Score:** 5.3 (AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N)\n\n---\n\n## Summary\n\n`GET /api/v1/retrieval/` returns live RAG pipeline configuration to any unauthenticated HTTP client. No `Authorization` header, cookie, or API key is required. Every adjacent endpoint on the same router (`/embedding`, `/config`) is correctly guarded by `get_admin_user` making this a targeted omission.\n\n---\n\n## Root Cause\n\n`backend/open_webui/routers/retrieval.py:262`\n\n```python\n@router.get(\u0027/\u0027)\nasync def get_status(request: Request):   # \u2190 no Depends(get_verified_user)\n    return {\n        \u0027status\u0027: True,\n        \u0027CHUNK_SIZE\u0027: request.app.state.config.CHUNK_SIZE,\n        \u0027CHUNK_OVERLAP\u0027: request.app.state.config.CHUNK_OVERLAP,\n        \u0027RAG_TEMPLATE\u0027: request.app.state.config.RAG_TEMPLATE,\n        \u0027RAG_EMBEDDING_ENGINE\u0027: request.app.state.config.RAG_EMBEDDING_ENGINE,\n        \u0027RAG_EMBEDDING_MODEL\u0027: request.app.state.config.RAG_EMBEDDING_MODEL,\n        \u0027RAG_RERANKING_MODEL\u0027: request.app.state.config.RAG_RERANKING_MODEL,\n        \u0027RAG_EMBEDDING_BATCH_SIZE\u0027: request.app.state.config.RAG_EMBEDDING_BATCH_SIZE,\n        \u0027ENABLE_ASYNC_EMBEDDING\u0027: request.app.state.config.ENABLE_ASYNC_EMBEDDING,\n        \u0027RAG_EMBEDDING_CONCURRENT_REQUESTS\u0027: request.app.state.config.RAG_EMBEDDING_CONCURRENT_REQUESTS,\n    }\n```\n\nCompare with every adjacent endpoint on the same router:\n\n```python\n@router.get(\u0027/embedding\u0027)\nasync def get_embedding_config(request: Request, user=Depends(get_admin_user)):  # \u2705\n\n@router.get(\u0027/config\u0027)\nasync def get_rag_config(request: Request, user=Depends(get_admin_user)):        # \u2705\n```\n\n---\n\n## Proof Of Concept \u2014 No Token Required\n\n```bash\ncurl -s http://TARGET/api/v1/retrieval/\n```\n\n```json\n{\n  \"status\": true,\n  \"CHUNK_SIZE\": 1000,\n  \"CHUNK_OVERLAP\": 100,\n  \"RAG_TEMPLATE\": \"### Task:\\nRespond to the user query using the provided context...\\n\u003ccontext\u003e\\n{{CONTEXT}}\\n\u003c/context\u003e\",\n  \"RAG_EMBEDDING_ENGINE\": \"\",\n  \"RAG_EMBEDDING_MODEL\": \"sentence-transformers/all-MiniLM-L6-v2\",\n  \"RAG_RERANKING_MODEL\": \"\",\n  \"RAG_EMBEDDING_BATCH_SIZE\": 1,\n  \"ENABLE_ASYNC_EMBEDDING\": true,\n  \"RAG_EMBEDDING_CONCURRENT_REQUESTS\": 0\n}\n```\n\n---\n\n## Disclosed Information and Its Value to an Attacker\n\n| Field | What it reveals |\n|---|---|\n| `RAG_EMBEDDING_ENGINE` | Backend type (OpenAI, Ollama, Azure, etc.) |\n| `RAG_EMBEDDING_MODEL` | Exact model name \u2014 reveals embedding model |\n| `RAG_RERANKING_MODEL` | Reranker in use \u2014 reveals reranker |\n| `RAG_TEMPLATE` | **RAG template** \u2014 exposes the RAG template |\n| `CHUNK_SIZE` / `CHUNK_OVERLAP` | Chunking parameters \u2014 enables exact reconstruction of how documents are split and retrieved |\n\n---\n\n## Attack Scenario\n\n1. Attacker sends one unauthenticated HTTP GET to `/api/v1/retrieval/`.\n2. Response reveals the embedding model and chunking parameters.\n3. Attacker uses the exact chunk size/overlap to craft RAG poisoning payloads that are guaranteed to be retrieved.\n\n---\n\n## Impact\n\n1. **RAG template disclosure**\n2. **Infrastructure fingerprinting** \u2014 embedding engine and model name reveal the AI stack to an internet scanner\n3. **RAG attack surface mapping** \u2014 chunk parameters enable precise calculation of retrieval boundaries\n4. **Zero-effort recon** \u2014 no brute force, no credentials, no rate-limit concern. Single request from any IP.\n\n---\n\n## Recommended Fix\n\nAdd `get_verified_user` dependency (or `get_admin_user` for stricter control):\n\n```python\n# BEFORE (vulnerable)\n@router.get(\u0027/\u0027)\nasync def get_status(request: Request):\n\n\n# AFTER\n@router.get(\u0027/\u0027)\nasync def get_status(request: Request, user=Depends(get_verified_user)):\n```",
  "id": "GHSA-65pg-qhhw-mxwg",
  "modified": "2026-05-15T23:55:19Z",
  "published": "2026-05-14T20:26:34Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/open-webui/open-webui/security/advisories/GHSA-65pg-qhhw-mxwg"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-45397"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/open-webui/open-webui"
    },
    {
      "type": "WEB",
      "url": "https://github.com/open-webui/open-webui/releases/tag/v0.9.5"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Open WebUI Vulnerable to Unauthenticated RAG Configuration Disclosure"
}