CVE-2026-19696 in IxVeriWave
Summary
by MITRE • 08/13/2026
Ixia IxVeriWave and Vector Informatik BLF file parser crashes in 4.6.0 to 4.6.7 allows denial of service on Windows
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Analysis
by VulDB Data Team • 08/13/2026
The vulnerability exists within the Ixia IxVeriWave and Vector Informatik BLF file parser components version 4.6.0 through 4.6.7 on Windows systems, representing a critical denial of service flaw that can be exploited by remote attackers. This issue stems from improper input validation and memory handling within the binary log file parsing functionality that processes BLF (Binary Log Format) files used for capturing network traffic data. The flaw manifests when the parser encounters malformed or specially crafted BLF files that trigger buffer overflows, invalid memory access patterns, or stack corruption during file processing operations.
The technical implementation of this vulnerability involves the parser's failure to properly validate file headers, record structures, and data lengths within BLF files before attempting to process them. When parsing certain malformed input sequences, the code executes without proper bounds checking, leading to memory corruption that ultimately results in application crashes or complete system hangs. This behavior aligns with CWE-121 Stack-based Buffer Overflow and CWE-787 Out-of-bounds Write categories, where insufficient validation allows attackers to manipulate memory layout through crafted input data. The vulnerability operates at the application layer and requires no special privileges to exploit, making it particularly dangerous in environments where automated processing of network logs occurs.
The operational impact of this vulnerability extends beyond simple service disruption to potentially compromise entire network monitoring infrastructures that rely on these tools for traffic analysis and incident response. When exploited successfully, the denial of service condition can cause complete application termination, requiring manual intervention to restore normal operations. In enterprise environments where these parsers are integrated into larger security toolchains or automated analysis pipelines, such an exploit could lead to significant operational downtime and may mask actual security incidents by preventing proper log processing. The vulnerability affects Windows systems specifically due to differences in memory management and stack handling between operating system architectures.
Mitigation strategies should focus on immediate patching of affected versions to 4.6.8 or later releases that contain proper input validation and memory boundary checks. Organizations should implement network segmentation to limit exposure of vulnerable systems to untrusted file sources, while also deploying automated file validation processes that can identify potentially malicious BLF files before they reach the parser components. Security monitoring should include detection of unusual process termination patterns or resource consumption spikes that might indicate exploitation attempts. The ATT&CK framework categorizes this vulnerability under T1498 Resource Hijacking, as it consumes system resources through denial of service conditions, and may also relate to T1059 Command and Scripting Interpreter if attackers use the vulnerability to disrupt automated processing systems. Network administrators should consider implementing file type restrictions and mandatory file validation before processing any BLF content in automated environments.