CVE-2024-47945
📋 TL;DR
This vulnerability allows attackers to predict session IDs and hijack user sessions on affected Rittal IoT devices. Attackers can pre-generate valid session IDs due to insufficient entropy in the generation algorithm, leading to unauthorized access. This affects Rittal IoT devices with vulnerable firmware.
💻 Affected Systems
- Rittal IoT devices (specific models not fully detailed in references)
📦 What is this software?
Cmc Iii Processing Units Firmware by Rittal
⚠️ Risk & Real-World Impact
Worst Case
Complete compromise of all user sessions, allowing attackers to impersonate any user, access sensitive data, and perform administrative actions on affected devices.
Likely Case
Session hijacking leading to unauthorized access to device management interfaces, potential configuration changes, and data exfiltration.
If Mitigated
Limited impact if devices are behind firewalls with strict access controls and session monitoring, though risk remains if internal access is possible.
🎯 Exploit Status
Exploit requires only session ID prediction (32,768 possibilities per user) which can be brute-forced or pre-computed. Public disclosure includes technical details.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Not specified in provided references
Vendor Advisory: https://www.rittal.com/de-de/products/deep/3124300
Instructions:
Check vendor advisory for firmware updates. If patch available: 1. Download latest firmware from Rittal. 2. Backup device configuration. 3. Apply firmware update following vendor instructions. 4. Verify session ID generation uses cryptographically secure random.
🔧 Temporary Workarounds
Network Segmentation
allIsolate affected devices in separate network segments with strict firewall rules limiting access to trusted IPs only.
Session Timeout Reduction
allReduce session timeout values to minimize window for session hijacking attacks.
🧯 If You Can't Patch
- Implement network-level authentication (VPN, client certificates) before accessing device management interfaces.
- Deploy web application firewall (WAF) with session protection rules and monitor for abnormal session patterns.
🔍 How to Verify
Check if Vulnerable:
Check if session IDs appear predictable or follow sequential/limited patterns. Monitor multiple session creations for patterns. Review source code for use of rand() without proper srand().Check Version:
Check device web interface or CLI for firmware version, then compare against vendor patched version list.Verify Fix Applied:
Verify session IDs are now cryptographically random (128+ bits entropy). Test that generated IDs show no predictable patterns across multiple sessions.📡 Detection & Monitoring
Log Indicators:
- Multiple failed login attempts followed by successful login with different session ID
- Session IDs following predictable patterns
- User sessions from unusual IP addresses
Network Indicators:
- Rapid sequential session ID requests
- Multiple session creations from single source in short time
SIEM Query:
source="device_logs" (session_id matches "predictable_pattern" OR multiple session_creation within 1m from same src_ip)