CVE-2023-2645
CVE-2023-2645
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
A vulnerability, which was classified as critical, was found in USR USR-G806 1.0.41. Affected is an unknown function of the component Web Management Page. The manipulation of the argument username/password with the input root leads to use of hard-coded password. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used. It is recommended to change the configuration settings. VDB-228774 is the identifier assigned to this vulnerability. NOTE: The vendor was contacted early about this disclosure but did not respond in any way.
CVE-2023-2645: Professional Cybersecurity Analysis
Executive Summary
CVE-2023-2645 represents a critical severity vulnerability (CVSS 9.8) affecting the USR-G806 router firmware version 1.0.41. The vulnerability involves hard-coded credentials in the web management interface, allowing unauthorized remote access with administrative privileges. This represents a fundamental security design flaw with severe implications for affected deployments.
1. Vulnerability Assessment and Severity Evaluation
Severity Metrics
- CVSS v3 Score: 9.8 (Critical)
- Classification: CWE-798 (Use of Hard-coded Credentials)
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: None
- Attack Vector: Network (Remote)
Technical Assessment
The vulnerability stems from hard-coded credentials (username: "root") embedded in the device firmware. This represents a critical authentication bypass that:
- Requires no sophisticated exploitation techniques
- Can be exploited by attackers with basic network access
- Provides complete administrative control over the device
- Cannot be remediated through standard password changes alone
The 9.8 CVSS score is justified given:
- Complete confidentiality, integrity, and availability impact
- No authentication requirements
- Remote exploitability
- Low attack complexity
2. Attack Vectors and Exploitation Methods
Primary Attack Vector
Remote Web Management Interface Exploitation
Attack Flow:
1. Attacker identifies USR-G806 device on network (port scanning)
2. Accesses web management interface (typically HTTP/HTTPS)
3. Authenticates using hard-coded credentials (username: root)
4. Gains full administrative access
Exploitation Scenarios
Scenario 1: Direct Internet Exposure
- Devices with publicly accessible management interfaces
- Shodan/Censys scanning for vulnerable devices
- Automated exploitation via botnets
Scenario 2: Internal Network Compromise
- Lateral movement after initial network breach
- Pivot point for further network penetration
- Persistent backdoor establishment
Scenario 3: Supply Chain Attacks
- Pre-compromise of devices before deployment
- Targeted attacks on organizations using these routers
Exploitation Complexity
- Skill Level Required: Minimal (script kiddie level)
- Tools Required: Web browser or basic HTTP client
- Time to Exploit: Minutes
- Detection Difficulty: Low (unless proper logging is implemented)
3. Affected Systems and Software Versions
Confirmed Affected Products
- Manufacturer: USR (U.S. Robotics)
- Model: USR-G806
- Firmware Version: 1.0.41
- Component: Web Management Interface
Potentially Affected Systems
Given the nature of embedded device development, similar vulnerabilities may exist in:
- Other firmware versions (unconfirmed)
- Related USR router models sharing the same codebase
- OEM/white-label versions of the same hardware
Deployment Context
USR-G806 routers are typically deployed in:
- Small office/home office (SOHO) environments
- Small business networks
- Remote office locations
- IoT/embedded system networks
4. Recommended Mitigation Strategies
Immediate Actions (Priority 1)
1. Network Isolation
- Disable remote management access from WAN interfaces
- Implement firewall rules blocking external access to management ports
- Place devices behind additional network security layers
2. Access Control
- Restrict management interface access to specific IP addresses
- Implement VPN-only access for remote administration
- Deploy network segmentation (VLAN isolation)
3. Monitoring and Detection
- Enable comprehensive logging on affected devices
- Monitor for authentication attempts to management interfaces
- Implement IDS/IPS rules for suspicious access patterns
- Alert on successful logins from unexpected sources
Short-term Mitigations (Priority 2)
1. Compensating Controls
- Deploy web application firewall (WAF) in front of management interfaces
- Implement multi-factor authentication if supported by firmware updates
- Use jump boxes/bastion hosts for administrative access
2. Configuration Hardening
- Change all default settings where possible
- Disable unnecessary services
- Implement principle of least privilege
Long-term Solutions (Priority 3)
1. Device Replacement Given vendor non-responsiveness:
- Evaluate alternative router solutions from responsive vendors
- Plan phased replacement of affected devices
- Prioritize replacement based on exposure risk
2. Vendor Engagement
- Continue attempts to contact USR for firmware updates
- Escalate through distribution channels
- Consider legal/contractual remedies if applicable
3. Security Architecture Review
- Reassess device procurement policies
- Implement vendor security assessment requirements
- Establish vulnerability management procedures for embedded devices
Configuration Changes
Since the CVE description mentions "it is recommended to change the configuration settings," organizations should:
- Disable the web management interface entirely if not required
- Use alternative management methods (SSH, console access)
- Implement time-based access controls
5. Impact on Cybersecurity Landscape
Broader Implications
1. IoT/Embedded Device Security Crisis This vulnerability exemplifies ongoing challenges:
- Persistent use of hard-coded credentials in embedded devices
- Lack of secure development practices in IoT manufacturing
- Vendor unresponsiveness to security disclosures
2. Supply Chain Risk
- Demonstrates risks of deploying devices without security validation
- Highlights need for vendor security assessment programs
- Underscores importance of device lifecycle management
3. Attack Surface Expansion
- Adds to the growing inventory of compromised IoT devices
- Potential botnet recruitment (DDoS, cryptomining, proxying)
- Enables persistent network footholds for APT actors
Threat Intelligence Considerations
Exploitation Likelihood: VERY HIGH
- Public exploit disclosure increases risk exponentially
- Low exploitation complexity attracts automated scanning
- Likely already incorporated into botnet scanning routines
Threat Actor Interest:
- Cybercriminal Groups: Botnet expansion, proxy networks
- Nation-State Actors: Network persistence, espionage
- Hacktivists: Defacement, disruption campaigns
6. Technical Details for Security Professionals
Vulnerability Mechanics
Root Cause Analysis:
The firmware contains embedded credentials that cannot be changed
through normal administrative procedures. The authentication mechanism
checks user-supplied credentials against both:
1. User-configured passwords (standard authentication)
2. Hard-coded credentials (backdoor authentication)
Code-Level Issue (Hypothetical based on common patterns):
// Vulnerable authentication logic (conceptual)
if (strcmp(username, "root") && strcmp(password, user_password)) {
authenticate_user();
} else if (strcmp(username, "root") && strcmp(password, HARDCODED_PASS)) {
authenticate_user(); // Backdoor authentication
}
Detection and Forensics
Indicators of Compromise (IoCs):
- Successful authentication with username "root" from unexpected sources
- Configuration changes without authorized administrative action
- Unusual outbound network connections from the device
- Firmware modification timestamps
- Unexpected process execution
Log Analysis:
Search for:
- Authentication logs with username "root"
- Source IPs not matching known administrator locations
- Time-based anomalies (access during off-hours)
- Rapid successive login attempts
Network Forensics:
Monitor for:
- HTTP/HTTPS POST requests to /login or similar endpoints
- Successful authentication responses (HTTP 200, session cookies)
- Post-exploitation traffic patterns (command execution, file transfers)
Penetration Testing Considerations
Testing Methodology:
- Identify device via banner grabbing/fingerprinting
- Attempt authentication with disclosed credentials
- Document accessible functionality
- Test for post-exploitation capabilities
- Assess lateral movement potential
Responsible Disclosure:
- Document findings thoroughly
- Avoid disrupting production systems
- Report through appropriate channels
- Follow organizational security policies
Threat Hunting Queries
Splunk:
index=network_logs dest_port=80 OR dest_port=443
| search uri_path="*/login*" username="root"
| stats count by src_ip, dest_ip,