Filtered by vendor Infiniflow
Subscriptions
Filtered by product Ragflow
Subscriptions
Total
11 CVE
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2025-25282 | 1 Infiniflow | 1 Ragflow | 2025-07-16 | N/A |
| RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. An authenticated user can exploit the Insecure Direct Object Reference (IDOR) vulnerability that may lead to unauthorized cross-tenant access (list tenant user accounts, add user account into other tenant). Unauthorized cross-tenant access: list user from other tenant (e.g., via GET /<tenant_id>/user/list), add user account to other tenant (POST /<tenant_id>/user). This issue has not yet been patched. Users are advised to reach out to the project maintainers to coordinate a fix. | ||||
| CVE-2024-12880 | 1 Infiniflow | 1 Ragflow | 2025-07-14 | 6.5 Medium |
| A vulnerability in infiniflow/ragflow version RAGFlow-0.13.0 allows for partial account takeover via insecure data querying. The issue arises from the way tenant IDs are handled in the application. If a user has access to multiple tenants, they can manipulate their tenant access to query and access API tokens of other tenants. This vulnerability affects the following endpoints: /v1/system/token_list, /v1/system/new_token, /v1/api/token_list, /v1/api/new_token, and /v1/api/rm. An attacker can exploit this to access other tenants' API tokens, perform actions on behalf of other tenants, and access their data. | ||||
| CVE-2024-12433 | 1 Infiniflow | 1 Ragflow | 2025-07-14 | N/A |
| A vulnerability in infiniflow/ragflow versions v0.12.0 allows for remote code execution. The RPC server in RagFlow uses a hard-coded AuthKey 'authkey=b'infiniflow-token4kevinhu'' which can be easily fetched by attackers to join the group communication without restrictions. Additionally, the server processes incoming data using pickle deserialization via `pickle.loads()` on `connection.recv()`, making it vulnerable to remote code execution. This issue is fixed in version 0.14.0. | ||||
| CVE-2024-53450 | 1 Infiniflow | 1 Ragflow | 2025-07-10 | 7.5 High |
| RAGFlow 0.13.0 suffers from improper access control in document-hooks.ts, allowing unauthorized access to user documents. | ||||
| CVE-2025-48187 | 1 Infiniflow | 1 Ragflow | 2025-06-12 | 9.1 Critical |
| RAGFlow through 0.18.1 allows account takeover because it is possible to conduct successful brute-force attacks against email verification codes to perform arbitrary account registration, login, and password reset. Codes are six digits and there is no rate limiting. | ||||
| CVE-2025-27135 | 1 Infiniflow | 1 Ragflow | 2025-04-22 | 9.8 Critical |
| RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine. Versions 0.15.1 and prior are vulnerable to SQL injection. The ExeSQL component extracts the SQL statement from the input and sends it directly to the database query. As of time of publication, no patched version is available. | ||||
| CVE-2024-12450 | 1 Infiniflow | 1 Ragflow | 2025-04-04 | 9.8 Critical |
| In infiniflow/ragflow versions 0.12.0, the `web_crawl` function in `document_app.py` contains multiple vulnerabilities. The function does not filter URL parameters, allowing attackers to exploit Full Read SSRF by accessing internal network addresses and viewing their content through the generated PDF files. Additionally, the lack of restrictions on the file protocol enables Arbitrary File Read, allowing attackers to read server files. Furthermore, the use of an outdated Chromium headless version with --no-sandbox mode enabled makes the application susceptible to Remote Code Execution (RCE) via known Chromium v8 vulnerabilities. These issues are resolved in version 0.14.0. | ||||
| CVE-2024-12779 | 1 Infiniflow | 1 Ragflow | 2025-04-01 | 7.5 High |
| A Server-Side Request Forgery (SSRF) vulnerability exists in infiniflow/ragflow version 0.12.0. The vulnerability is present in the `POST /v1/llm/add_llm` and `POST /v1/conversation/tts` endpoints. Attackers can specify an arbitrary URL as the `api_base` when adding an `OPENAITTS` model, and subsequently access the `tts` REST API endpoint to read contents from the specified URL. This can lead to unauthorized access to internal web resources. | ||||
| CVE-2024-12869 | 1 Infiniflow | 1 Ragflow | 2025-04-01 | 4.3 Medium |
| In infiniflow/ragflow version v0.12.0, there is an improper authentication vulnerability that allows a user to view another user's invite list. This can lead to a privacy breach where users' personal or private information, such as email addresses or usernames in the invite list, could be exposed without their consent. This data leakage can facilitate further attacks, such as phishing or spam, and result in loss of trust and potential regulatory issues. | ||||
| CVE-2024-12871 | 1 Infiniflow | 1 Ragflow | 2025-04-01 | 5.4 Medium |
| An XSS vulnerability in infiniflow/ragflow version 0.12.0 allows an attacker to upload a malicious PDF file to the knowledge base. When the file is viewed within Ragflow, the payload is executed in the context of the user's browser. This can lead to session hijacking, data exfiltration, or unauthorized actions performed on behalf of the victim, compromising sensitive user data and affecting the integrity of the entire application. | ||||
| CVE-2024-10131 | 1 Infiniflow | 1 Ragflow | 2024-11-01 | 8.8 High |
| The `add_llm` function in `llm_app.py` in infiniflow/ragflow version 0.11.0 contains a remote code execution (RCE) vulnerability. The function uses user-supplied input `req['llm_factory']` and `req['llm_name']` to dynamically instantiate classes from various model dictionaries. This approach allows an attacker to potentially execute arbitrary code due to the lack of comprehensive input validation or sanitization. An attacker could provide a malicious value for 'llm_factory' that, when used as an index to these model dictionaries, results in the execution of arbitrary code. | ||||
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