{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "open-webui"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.8.6"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-28788"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-639"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-03-27T15:34:26Z",
    "nvd_published_at": "2026-03-27T00:16:22Z",
    "severity": "HIGH"
  },
  "details": "### Summary\n\nAny authenticated user can overwrite any file\u0027s content by ID through the `POST /api/v1/retrieval/process/files/batch` endpoint. The endpoint performs no ownership check, so a regular user with read access to a shared knowledge base can obtain file UUIDs via `GET /api/v1/knowledge/{id}/files` and then overwrite those files, escalating from read to write. The overwritten content is served to the LLM via RAG, meaning the attacker controls what the model tells other users.\n\n### Details\n\nThe `process_files_batch()` function in `backend/open_webui/routers/retrieval.py` appears to be designed as an internal helper. The knowledge base router (`add_files_to_knowledge_batch()` in `knowledge.py`) imports and calls it directly after performing its own ownership and access control checks. The frontend never calls the retrieval route directly; all legitimate UI flows go through the knowledge base wrapper.\n\nHowever, the function is also exposed as a standalone HTTP endpoint via `@router.post(...)`. This direct route only requires `get_verified_user` (any authenticated user) and performs no ownership check of its own:\n\n```python\nfor file in form_data.files:\n    text_content = file.data.get(\"content\", \"\")  # attacker-controlled\n\n    file_updates.append(FileUpdateForm(\n        hash=calculate_sha256_string(text_content),\n        data={\"content\": text_content},            # written to DB\n    ))\n\nfor file_update, file_result in zip(file_updates, file_results):\n    Files.update_file_by_id(id=file_result.file_id, form_data=file_update)\n    #                       ^^^ no ownership check\n```\n\nThere is no verification that `file.user_id == user.id` before the write. Any authenticated user who knows a file UUID can overwrite that file.\n\n**How an attacker obtains file UUIDs:**\n\nSame as with read access, any user who can see a knowledge base can retrieve file IDs for every document in it via `GET /api/v1/knowledge/{id}/files`. In deployments where knowledge bases are shared across teams, this gives any regular user a list of valid targets.\n\n**Suggested fix:** Add an ownership check before writing:\n\n```python\nfor file in form_data.files:\n    db_file = Files.get_file_by_id(file.id)\n    if not db_file or (db_file.user_id != user.id and user.role != \"admin\"):\n        file_errors.append(BatchProcessFilesResult(\n            file_id=file.id, status=\"failed\",\n            error=\"Permission denied: not file owner\",\n        ))\n        continue\n```\n\n**Classification:**\n- CWE-639: Authorization Bypass Through User-Controlled Key\n- OWASP API1:2023: Broken Object Level Authorization\n\nTested on Open WebUI **0.8.3** using a default Docker configuration.\n\n### PoC\n\n**Prerequisites:**\n- Default Open WebUI installation (Docker: `ghcr.io/open-webui/open-webui:main`)\n- An admin or user creates a knowledge base with shared read access and uploads a file\n- A regular user account exists (the attacker)\n\n**Obtaining the file UUID (attacker):**\n\n```\nGET /api/v1/knowledge/{kb_id}/files\n```\n\nThis returns metadata for all files in the KB, including their UUIDs.\n\n**Exploit (attacker):**\n\n```bash\npython3 poc_exploit.py --url http://\u003chost\u003e:3000 --file-id \u003ctarget-file-uuid\u003e -t \u003cattacker-jwt\u003e\n```\n\nThe PoC script: [poc_exploit.py](https://github.com/user-attachments/files/25470374/poc_exploit.py)\n1. Authenticates as the attacker\n2. Overwrites the target file via `POST /api/v1/retrieval/process/files/batch` with a canary payload containing a unique marker string\n3. Reads the file back and confirms the attacker\u0027s content replaced the original\n\n**Verifying RAG poisoning:**\n\nAfter the overwrite, log in as any other user, start a chat with the poisoned knowledge base attached, and ask about the document. The model\u0027s response will include the attacker\u0027s canary string (`BOLA-\u003cmarker\u003e`), confirming that attacker-controlled content reached the LLM and influenced the response.\n\nNo special tooling is required. The script uses only Python 3 standard library (`urllib`).\n\n### Impact\n\n**Who is affected:** Any multi-user Open WebUI deployment where knowledge bases are shared. The attacker needs a valid account (any role) and a target file UUID, which is available through any knowledge base they have read access to.\n\n**What can happen:**\n- **RAG poisoning:** The overwritten content is served to the LLM via RAG. The attacker controls what the model tells every user who queries that knowledge base. This includes the ability to inject instructions the model will follow, which could lead to further exploitation depending on what tools and capabilities are available in the deployment (e.g. code interpreter, function calling).\n- **Silent data corruption:** The original file content is permanently replaced with no indication to the file owner or other users that it has changed.\n- **No audit trail:** Nothing records that an unauthorized user modified the file.\n\nThe core issue is that a function designed as an internal helper is exposed as a public endpoint without its own authorization checks. A user with read-only access to a knowledge base can escalate to write access over any file in it.\n\n### Disclaimer on the use of AI powered tools\n\nThe research and reporting related to this vulnerability was aided by the help of AI tools.",
  "id": "GHSA-jjp7-g2jw-wh3j",
  "modified": "2026-03-27T15:34:26Z",
  "published": "2026-03-27T15:34:26Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/open-webui/open-webui/security/advisories/GHSA-jjp7-g2jw-wh3j"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-28788"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/open-webui/open-webui"
    },
    {
      "type": "WEB",
      "url": "https://github.com/open-webui/open-webui/releases/tag/v0.8.6"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Open WebUI\u0027s process_files_batch() endpoint missing ownership check, allows unauthorized file overwrite"
}

{
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:openwebui:open_webui:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "98042D01-E16B-45CE-9BBC-E5A6E2AA2370",
              "versionEndExcluding": "0.8.6",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
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  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. Prior to version 0.8.6, any authenticated user can overwrite any file\u0027s content by ID through the `POST /api/v1/retrieval/process/files/batch` endpoint. The endpoint performs no ownership check, so a regular user with read access to a shared knowledge base can obtain file UUIDs via `GET /api/v1/knowledge/{id}/files` and then overwrite those files, escalating from read to write. The overwritten content is served to the LLM via RAG, meaning the attacker controls what the model tells other users. Version 0.8.6 patches the issue."
    },
    {
      "lang": "es",
      "value": "Open WebUI es una plataforma de inteligencia artificial autoalojada dise\u00f1ada para operar completamente sin conexi\u00f3n. Antes de la versi\u00f3n 0.8.6, cualquier usuario autenticado puede sobrescribir el contenido de cualquier archivo por ID a trav\u00e9s del endpoint \u0027POST /api/v1/retrieval/process/files/batch\u0027. El endpoint no realiza ninguna verificaci\u00f3n de propiedad, por lo que un usuario regular con acceso de lectura a una base de conocimiento compartida puede obtener los UUID de los archivos a trav\u00e9s de \u0027GET /api/v1/knowledge/{id}/files\u0027 y luego sobrescribir esos archivos, escalando de lectura a escritura. El contenido sobrescrito se sirve al LLM a trav\u00e9s de RAG, lo que significa que el atacante controla lo que el modelo dice a otros usuarios. La versi\u00f3n 0.8.6 corrige el problema."
    }
  ],
  "id": "CVE-2026-28788",
  "lastModified": "2026-04-01T16:12:25.257",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "LOW",
          "baseScore": 7.1,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "NONE",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 4.2,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ]
  },
  "published": "2026-03-27T00:16:22.673",
  "references": [
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Exploit",
        "Vendor Advisory"
      ],
      "url": "https://github.com/open-webui/open-webui/security/advisories/GHSA-jjp7-g2jw-wh3j"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-639"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Primary"
    }
  ]
}