CVE-2022-2337 in Secure Integration Server
Summary
by MITRE • 08/18/2022
A crafted HTTP packet with a missing HTTP URI can create a denial-of-service condition in Softing Secure Integration Server V1.22.
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Analysis
by VulDB Data Team • 09/17/2022
The vulnerability identified as CVE-2022-2337 represents a critical denial-of-service weakness within Softing Secure Integration Server version 1.22 that exploits malformed HTTP packet structures. This issue specifically targets the server's handling of HTTP requests where the URI component is absent or malformed, creating a condition that can be exploited to disrupt normal service operations. The vulnerability resides in the server's protocol parsing mechanism, where insufficient input validation allows crafted packets to trigger unexpected behavior in the application's request processing pipeline.
The technical flaw manifests when the Softing Secure Integration Server receives HTTP traffic containing a missing or improperly formatted URI field within the request line. This condition causes the server's HTTP parser to encounter an unexpected state during request handling, leading to resource exhaustion or application crash conditions. The vulnerability operates at the network protocol level, specifically within the HTTP request parsing layer, and can be triggered through simple network traffic manipulation without requiring authentication or advanced privileges. This makes it particularly dangerous as it can be exploited by remote attackers who merely need to send malformed packets to the server.
From an operational impact perspective, this vulnerability creates significant risks for industrial control systems and secure integration environments where Softing Secure Integration Server is deployed. The denial-of-service condition can result in complete service disruption, forcing operators to restart services manually or potentially causing production line interruptions in industrial automation scenarios. The vulnerability affects systems that rely on continuous availability of integration services, making it particularly concerning for environments where system uptime is critical for operational continuity. Organizations using this software in mission-critical applications may face substantial operational disruptions and potential safety implications.
Mitigation strategies for CVE-2022-2337 should focus on implementing network-level filtering to block malformed HTTP traffic before it reaches the vulnerable server instance. Organizations should deploy intrusion prevention systems with signature-based detection capabilities that can identify and block HTTP packets with missing URI components. The most effective long-term solution involves applying the vendor-provided security patch that addresses the input validation weakness in the HTTP parser. Network segmentation and firewall rules can provide immediate protection while patches are being deployed, particularly by blocking HTTP traffic to affected ports unless absolutely necessary. Additionally, implementing application-level monitoring and alerting systems can help detect exploitation attempts and provide early warning of potential attacks targeting this vulnerability.
This vulnerability aligns with CWE-400, which addresses "Uncontrolled Resource Consumption" and specifically relates to denial-of-service conditions caused by malformed input processing. The attack pattern corresponds to techniques described in the ATT&CK framework under the T1499.004 sub-technique for "Network Denial of Service" and potentially T1595.001 for "Network Scanning" when attackers probe for vulnerable systems. The weakness demonstrates how protocol-level parsing errors can create exploitable conditions in industrial control systems, highlighting the importance of robust input validation in security-critical applications. Organizations should consider this vulnerability as part of broader security assessments for industrial control systems, particularly those using proprietary integration servers that may contain similar parsing weaknesses in their implementation.