CVE-2022-2329 in IGSS Data Serverinfo

Summary

by MITRE • 02/01/2023

A CWE-190: Integer Overflow or Wraparound vulnerability exists that could cause heap-based buffer overflow, leading to denial of service and potentially remote code execution when an attacker sends multiple specially crafted messages. Affected Products: IGSS Data Server - IGSSdataServer.exe (Versions prior to V15.0.0.22073)

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Analysis

by VulDB Data Team • 05/25/2026

The vulnerability identified as CVE-2022-2329 represents a critical integer overflow condition classified under CWE-190 within the IGSS Data Server software. This flaw manifests in the IGSSdataServer.exe executable component, specifically affecting versions prior to V15.0.0.22073, creating a dangerous scenario where properly crafted input can trigger unpredictable system behavior. The vulnerability resides in how the application processes incoming messages, particularly when handling numerical values that exceed the maximum representable integer limits, leading to wraparound conditions that can corrupt memory structures.

The technical exploitation of this vulnerability occurs when an attacker crafts multiple malicious messages designed to trigger integer overflow conditions during processing. When the IGSS Data Server receives these specially constructed inputs, the application fails to properly validate integer values before performing arithmetic operations or memory allocations, resulting in heap-based buffer overflow conditions. This overflow can overwrite adjacent memory locations, potentially corrupting critical data structures or execution pointers that govern the application's operation. The nature of heap-based buffer overflows makes these vulnerabilities particularly dangerous as they can lead to arbitrary code execution when memory corruption affects control flow mechanisms.

From an operational perspective, the impact of CVE-2022-2329 extends beyond simple denial of service conditions to potentially enable remote code execution capabilities. The vulnerability affects industrial control systems where the IGSS Data Server operates as a critical component for data management and processing. Attackers leveraging this vulnerability can disrupt industrial processes, cause system instability, or potentially gain unauthorized access to control systems. The remote exploitation capability means that adversaries do not require physical access to the system, making it particularly concerning for operational technology environments where security boundaries may be less strictly enforced. This vulnerability directly impacts the integrity and availability of industrial data processing systems, potentially affecting critical infrastructure operations.

Security mitigations for CVE-2022-2329 should prioritize immediate patching of affected IGSS Data Server installations to version V15.0.0.22073 or later, which contains the necessary fixes to prevent integer overflow conditions. Organizations should implement network segmentation to limit access to IGSS Data Server components, particularly restricting communication to only trusted sources. Input validation controls should be strengthened to prevent malformed data from reaching vulnerable processing functions, while application-level monitoring can help detect anomalous message patterns that may indicate exploitation attempts. Additionally, implementing intrusion detection systems with signatures specific to this vulnerability can provide early warning capabilities. The mitigation strategy should also include comprehensive security assessments of industrial control systems to identify other potential integer overflow vulnerabilities that may exist in similar industrial software components. This vulnerability aligns with ATT&CK technique T1203 for Exploitation for Client Execution and T1499 for Endpoint Termination, demonstrating the potential for both system compromise and operational disruption in critical infrastructure environments.

Reservation

07/06/2022

Disclosure

02/01/2023

Moderation

accepted

CPE

ready

EPSS

0.02124

KEV

no

Activities

very low

Sources

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