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GHSA-5hf2-vhj6-gj9m
No affected components available
Summary
Nginx-UI contains an Insecure Direct Object Reference (IDOR) vulnerability that allows any authenticated user to access, modify, and delete resources belonging to other users. The application's base Model struct lacks a user_id field, and all resource endpoints perform queries by ID without verifying user ownership, enabling complete authorization bypass in multi-user environments.
Severity
High - CVSS 3.1 Score: 8.8 (High)
Vector String: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
Note: Original score was 7.5. The score was updated to 8.8 after discovering that sensitive data (DNS API tokens, ACME private keys) is stored in plaintext, which when combined with IDOR allows immediate credential theft without decryption.
Product
nginx-ui
Affected Versions
All versions up to and including v2.3.3
CWE
CWE-639: Authorization Bypass Through User-Controlled Key
Description
Exposed DNS Provider Credentials
The dns.Config structure (internal/cert/dns/config_env.go) contains API credentials:
type Configuration struct {
Credentials map[string]string `json:"credentials"` // API tokens here
Additional map[string]string `json:"additional"`
}
| Provider | Credential Fields | Impact if Leaked |
|----------|------------------|------------------|
| Cloudflare | CF_API_TOKEN | Full DNS zone control |
| Alibaba Cloud DNS | ALICLOUD_ACCESS_KEY, ALICLOUD_SECRET_KEY | Full DNS control + potential IAM access |
| Tencent Cloud DNS | TENCENTCLOUD_SECRET_ID, TENCENTCLOUD_SECRET_KEY | Full DNS control |
| AWS Route53 | AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY | Route53 + potential AWS access |
| GoDaddy | GODADDY_API_KEY, GODADDY_API_SECRET | DNS record modification |
Combined Attack: IDOR + Plaintext Storage
When the IDOR vulnerability is combined with plaintext storage, attackers can directly extract API tokens from other users' resources:
Attack Chain:
┌─────────────────────────────────────────────────────────────────┐
│ 1. Attacker authenticates with low-privilege account │
│ 2. Uses IDOR to enumerate: /api/dns_credentials/1,2,3... │
│ 3. Reads plaintext API tokens directly from HTTP response │
│ 4. No decryption needed - tokens stored in cleartext │
│ 5. Uses stolen tokens to: │
│ - Modify DNS records (domain hijacking) │
│ - Issue fraudulent SSL certificates │
│ - Pivot to cloud infrastructure │
└─────────────────────────────────────────────────────────────────┘
PoC: Extracting Plaintext Credentials via IDOR
# Attacker with low-privilege token accessing admin's DNS credential
curl -H "Authorization: $ATTACKER_TOKEN" \
https://nginx-ui.example.com/api/dns_credentials/1
# Response contains PLAINTEXT API token (no decryption required):
{
"id": 1,
"name": "Production Cloudflare",
"provider": "cloudflare",
"config": {
"credentials": {
"CF_API_TOKEN": "yhyQ7xR...plaintext_token_visible..."
}
}
}
Updated CVSS Score with Plaintext Storage
The plaintext storage increases the confidentiality impact:
CVSS 3.1 Score: 8.8 (High)
Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
- Scope Changed (S:C): Impact extends to external services (DNS providers, cloud platforms)
- High Confidentiality (C:H): Plaintext API tokens immediately usable
- High Integrity (I:H): DNS records, certificates can be modified
- High Availability (A:H): Services can be disrupted via DNS/certificate manipulation
Attack Scenario: Certificate Hijacking
1. Attacker creates low-privilege account on nginx-ui
2. Uses IDOR to enumerate all DNS credentials: /api/dns_credentials/1,2,3...
3. Steals Cloudflare API token from admin's credential
4. Uses token to:
- Modify DNS records
- Issue fraudulent Let's Encrypt certificates
- Intercept traffic to victim domains
Credit
Discovered by security researcher during authorized security audit.
Recommendation
Immediate Mitigation
- Add User Ownership to Models
// model/model.go
type Model struct {
ID uint64 `gorm:"primary_key" json:"id"`
UserID uint64 `gorm:"index" json:"user_id"` // Add this field
CreatedAt time.Time `json:"created_at"`
UpdatedAt time.Time `json:"updated_at"`
DeletedAt *gorm.DeletedAt `gorm:"index" json:"deleted_at,omitempty"`
}
- Filter Queries by Current User
// api/certificate/dns_credential.go
func GetDnsCredential(c *gin.Context) {
id := cast.ToUint64(c.Param("id"))
currentUser := c.MustGet("user").(*model.User)
d := query.DnsCredential
dnsCredential, err := d.Where(
d.ID.Eq(id),
d.UserID.Eq(currentUser.ID), // Add user filter
).First()
if err != nil {
cosy.ErrHandler(c, err)
return
}
// ...
}
- Add Authorization Middleware
// middleware/authorization.go
func RequireOwnership(resourceType string) gin.HandlerFunc {
return func(c *gin.Context) {
currentUser := c.MustGet("user").(*model.User)
resourceID := cast.ToUint64(c.Param("id"))
// Check if resource belongs to current user
ownerID, err := getResourceOwner(resourceType, resourceID)
if err != nil || ownerID != currentUser.ID {
c.AbortWithStatusJSON(http.StatusForbidden, gin.H{
"message": "Access denied",
})
return
}
c.Next()
}
}
Database Migration
-- Add user_id column to all resource tables
ALTER TABLE dns_credentials ADD COLUMN user_id BIGINT;
ALTER TABLE certs ADD COLUMN user_id BIGINT;
ALTER TABLE acme_users ADD COLUMN user_id BIGINT;
ALTER TABLE sites ADD COLUMN user_id BIGINT;
ALTER TABLE streams ADD COLUMN user_id BIGINT;
ALTER TABLE configs ADD COLUMN user_id BIGINT;
-- Set default owner for existing resources
UPDATE dns_credentials SET user_id = 1 WHERE user_id IS NULL;
UPDATE certs SET user_id = 1 WHERE user_id IS NULL;
-- Add foreign key constraint
ALTER TABLE dns_credentials ADD CONSTRAINT fk_dns_credentials_user
FOREIGN KEY (user_id) REFERENCES users(id);
Long-term Improvements
- Implement role-based access control (RBAC)
- Add audit logging for resource access
- Implement resource sharing functionality with explicit permissions
- Add integration tests for authorization checks
Remediation for Plaintext Storage
Immediate Fix: Encrypt Sensitive Fields
Apply the same serializer:json[aes] pattern used for S3 credentials to DNS and ACME data:
model/dns_credential.go:
type DnsCredential struct {
Model
Name string `json:"name"`
Config *dns.Config `json:"config,omitempty" gorm:"serializer:json[aes]"` // Add AES encryption
Provider string `json:"provider"`
ProviderCode string `json:"provider_code" gorm:"index"`
}
model/acme_user.go:
type AcmeUser struct {
Model
// ...
Key PrivateKey `json:"-" gorm:"serializer:json[aes]"` // Add AES encryption
// ...
}
Data Migration
Existing plaintext data must be re-saved to trigger encryption:
func MigrateSensitiveData() error {
// Migrate DNS credentials
var dnsCreds []model.DnsCredential
query.DnsCredential.Find(&dnsCreds)
for _, cred := range dnsCreds {
query.DnsCredential.Save(&cred) // Re-save triggers AES encryption
}
// Migrate ACME users
var acmeUsers []model.AcmeUser
query.AcmeUser.Find(&acmeUsers)
for _, user := range acmeUsers {
query.AcmeUser.Save(&user)
}
return nil
}
Summary of Required Changes
| File | Line | Current | Fix |
|------|------|---------|-----|
| model/dns_credential.go | 7 | serializer:json | serializer:json[aes] |
| model/acme_user.go | Key field | serializer:json | serializer:json[aes] |
References
- CWE-639: Authorization Bypass Through User-Controlled Key
- OWASP IDOR Prevention Cheat Sheet
- PortSwigger: IDOR Vulnerabilities
Disclosure Timeline
- 2026-03-13: Vulnerability discovered through source code audit
- 2026-03-13: Vulnerability successfully reproduced in local Docker environment
- 2026-03-13: All IDOR operations verified: READ, MODIFY, DELETE
- 2026-03-13: Security advisory prepared
- [Pending]: Report submitted to nginx-ui maintainers
- [Pending]: CVE ID requested
- [Pending]: Patch developed and tested
- [Pending]: Public disclosure (21-90 days after vendor notification)
The vulnerability requires local access to the device to be exploited. It is easy for an attacker to exploit this vulnerability. An attacker needs basic access or low-level privileges. No user interaction is needed for the attacker to exploit this vulnerability. The vulnerability can affect other systems as well, not just the initial system. There is a high impact on the confidentiality of the information. There is a high impact on the integrity of the data. There is a high impact on the availability of the system.
Exploitation activity has been observed. Apply available patches or mitigations urgently.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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