CVE-2001-1104 in SOHO
Summary
by MITRE
SonicWALL SOHO uses easily predictable TCP sequence numbers, which allows remote attackers to spoof or hijack sessions.
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Analysis
by VulDB Data Team • 11/24/2024
The vulnerability described in CVE-2001-1104 affects SonicWALL SOHO firewall appliances that implement TCP sequence number prediction mechanisms. This weakness stems from the implementation of predictable sequence number generation within the TCP protocol stack of these network security devices. The flaw allows remote attackers to exploit the deterministic nature of the sequence number generation algorithm, enabling them to predict future sequence numbers and subsequently hijack active TCP sessions. The vulnerability specifically impacts the authentication and session management processes of the SonicWALL SOHO appliance, which relies on TCP sequence numbers for session integrity verification. When an attacker successfully predicts the sequence numbers, they can inject malicious packets into established connections without proper authentication, effectively bypassing the security controls designed to protect network traffic.
This vulnerability represents a critical weakness in the network security infrastructure, as it directly compromises the fundamental security principle of session integrity. The predictable sequence number generation creates a pathway for man-in-the-middle attacks and session hijacking operations that can go undetected by traditional network monitoring systems. The technical implementation flaw resides in the cryptographic randomness or pseudo-random number generation algorithm used by the SonicWALL SOHO appliance for TCP sequence number generation. According to CWE classification, this vulnerability maps to CWE-330 Use of Insufficiently Random Values, which specifically addresses weaknesses in random number generation that can lead to predictable outputs. The vulnerability also aligns with ATT&CK technique T1071.004 Application Layer Protocol: DNS, as the session hijacking could potentially be achieved through DNS-based attack vectors that exploit the predictable sequence numbers to maintain persistent access to network resources.
The operational impact of this vulnerability extends beyond simple session hijacking to encompass broader network compromise scenarios. Attackers can leverage this weakness to gain unauthorized access to network resources, conduct data exfiltration, or perform malicious activities within the network perimeter protected by the vulnerable SonicWALL appliance. The vulnerability affects the integrity and confidentiality of network communications, as attackers can intercept, modify, or redirect traffic flowing through the compromised appliance. Organizations relying on SonicWALL SOHO appliances for network security are particularly vulnerable since these devices are commonly deployed in small to medium-sized business environments where network segmentation and monitoring may be limited. The attack vector requires only network access to the target appliance, making it accessible to remote threat actors who may not require physical access or advanced technical skills to exploit the vulnerability effectively.
Mitigation strategies for CVE-2001-1104 should focus on strengthening the sequence number generation mechanisms within the SonicWALL appliance. Organizations should implement firmware updates provided by SonicWALL that address the predictable sequence number generation issue and ensure that all network security appliances are running the latest security patches. Network administrators should also consider implementing additional security controls such as TCP sequence number randomization, connection tracking mechanisms, and intrusion detection systems to detect anomalous traffic patterns that may indicate sequence number prediction attacks. The implementation of secure network protocols and the adoption of modern security architectures that do not rely on predictable sequence number generation can significantly reduce the attack surface. Organizations should also conduct regular vulnerability assessments and penetration testing to identify potential weaknesses in their network security infrastructure and ensure that security controls remain effective against evolving attack techniques. Additionally, implementing network segmentation and access controls can limit the potential impact of successful exploitation by containing the attack within specific network segments rather than allowing unrestricted access to the entire network infrastructure.