Executive Summary
In September 2024, widespread exploitation of IoT devices was observed, leveraging insecure session cookies and weak access control. Attackers were able to escalate privileges or bypass authentication entirely by modifying HTTP cookies such as 'user=admin', 'uid=1', or similar session tokens on devices including TBK DVRs, LB-LINK routers, Tenda access points, and biometric access systems. The method often enabled the execution of OS commands or remote code, with threat actors targeting default credentials and under-protected web interfaces for persistence and lateral movement. Impact included unauthorized system changes, potential data exfiltration, and compromise across IoT and networking infrastructure in both consumer and enterprise environments.
This incident highlights an ongoing trend: attackers increasingly exploit weak authentication and session management in IoT devices, which often lack robust patching and monitoring. With regulatory frameworks tightening and IoT expanding into critical sectors, such low-effort but high-impact vulnerabilities are becoming a major concern for organizations seeking to secure their operational technology.
Why This Matters Now
IoT devices continue to proliferate, but many manufacturers still ship products with insecure default configurations and session management flaws. The ease with which attackers bypass authentication—simply by manipulating cookies—demonstrates urgent gaps in device security and identity enforcement, making rapid remediation and proactive monitoring essential to prevent large-scale exploitation.
Attack Path Analysis
Attackers exploited insecure HTTP cookies and default administrative credentials in IoT devices and applications, gaining initial access via OS command injection flaws (e.g., CVE-2024-3w721, CVE-2023-26801). Escalating privileges, they leveraged weak authentication and arbitrary account modifications to gain deeper device control. Internal movement was facilitated through lateral IoT access and unsegmented networks. Remote command and control was established by delivering payloads and shells through crafted HTTP requests and outbound commands. Data exfiltration opportunities arose from unrestricted egress traffic, and finally, attackers could manipulate or disrupt device availability, causing operational or privacy impacts.
Kill Chain Progression
Initial Compromise
Description
Exploitation of IoT devices via insecure cookies and OS command injection vulnerabilities enabled attackers to gain unauthorized administrative access.
Related CVEs
CVE-2023-26801
CVSS 9.8A command injection vulnerability in LB-LINK wireless routers allows remote attackers to execute arbitrary commands via the mac, time1, and time2 parameters at /goform/set_LimitClient_cfg.
Affected Products:
LB-LINK BL-AC1900_2.0 – 1.0.1
LB-LINK BL-WR9000 – 2.4.9
LB-LINK BL-X26 – 1.2.5
LB-LINK BL-LTE300 – 1.0.8
Exploit Status:
exploited in the wild
MITRE ATT&CK® Techniques
Valid Accounts
Exploit Public-Facing Application
Create Account
Exploitation for Credential Access
Command and Scripting Interpreter
Phishing
Network Sniffing
Input Capture
Potential Compliance Exposure
Mapping incident impact across multiple compliance frameworks.
PCI DSS 4.0 – Strong Authentication for Users and Administrators
Control ID: 8.3.1
NYDFS 23 NYCRR 500 – Cybersecurity Policy
Control ID: 500.03
DORA (Digital Operational Resilience Act) – ICT Risk Management Requirements
Control ID: Article 9
CISA Zero Trust Maturity Model 2.0 – Identity Authentication and Authorization
Control ID: Identity Pillar - Identity Access Management (IAM)
NIS2 Directive – Policies on Risk Analysis and Information System Security
Control ID: Article 21(2)(a)
Sector Implications
Industry-specific impact of the vulnerabilities, including operational, regulatory, and cloud security risks.
Telecommunications
Critical IoT exploitation risk through wireless routers, access points, and infrastructure devices with weak authentication cookies enabling lateral movement and data exfiltration.
Hospitality
Vulnerable to IoT device compromise through wireless access points and DVR systems, exposing guest networks and surveillance infrastructure to command injection attacks.
Government Administration
High-risk exposure through VPN systems and biometric access controls with cookie-based authentication vulnerabilities allowing unauthorized administrative access and policy bypass.
Health Care / Life Sciences
Severe HIPAA compliance violations through compromised IoT medical devices and surveillance systems enabling east-west traffic infiltration and protected health information exposure.
Sources
- "user=admin". Sometimes you don't even need to log in., (Tue, Sep 30th)https://isc.sans.edu/diary/rss/32334Verified
- CVE-2023-26801 | INCIBE-CERThttps://www.incibe.es/incibe-cert/alerta-temprana/vulnerabilidades/cve-2023-26801Verified
- CVE-2023-26801 Detail | NVDhttps://nvd.nist.gov/vuln/detail/CVE-2023-26801Verified
- CVE-2023-26801 Exploited Spreading Mirai Botnet | Akamaihttps://www.akamai.com/blog/security-research/cve-2023-26801-exploited-spreading-mirai-botnetVerified
Frequently Asked Questions
Cloud Native Security Fabric Mitigations and ControlsCNSF
Applying Zero Trust network segmentation, strict egress policy enforcement, and inline threat detection would have contained each attack step, preventing unauthorized access, limiting lateral movement, and blocking outbound command and control or exfiltration attempts.
Control: Cloud Firewall (ACF)
Mitigation: Known exploitation attempts against exposed services would be detected and blocked.
Control: Zero Trust Segmentation
Mitigation: Compromised device accounts are limited in scope and cannot access the broader network.
Control: East-West Traffic Security
Mitigation: Lateral movement between systems and devices is detected and blocked.
Control: Egress Security & Policy Enforcement
Mitigation: Outbound C2 activity and unauthorized downloads are detected and blocked in real-time.
Control: Encrypted Traffic (HPE)
Mitigation: All sensitive data in transit is encrypted and unauthorized exfiltration attempts are inspected.
Unusual device behavior, configuration changes, or operational disruptions are rapidly detected and alerted.
Impact at a Glance
Affected Business Functions
- Network Management
- Remote Access
Estimated downtime: 3 days
Estimated loss: $50,000
Potential exposure of sensitive network configurations and user credentials due to unauthorized access.
Recommended Actions
Key Takeaways & Next Steps
- • Enforce Zero Trust microsegmentation and identity-based access controls on all IoT and networked workloads.
- • Deploy centralized egress filtering and application-aware firewalls to block outbound command and control and data exfiltration attempts.
- • Monitor and baseline all network traffic for anomalies using distributed threat detection and real-time alerting.
- • Mandate high-performance encryption for internal and external data in transit to prevent credential and data theft.
- • Implement continuous visibility and automated policy updates across cloud and hybrid environments to reduce the attack surface.



