CVE-2026-40454 in IoTDB C++ clientinfo

Summary

by MITRE • 07/10/2026

Out-of-bounds Read, Improper Input Validation vulnerability in Apache IoTDB C++ client. Out-of-bounds reads in IoTDB C++ client TsBlock deserializer crash client process on malformed server data.


This issue affects Apache IoTDB C++ client: from 1.3.5 before 1.3.8, from 2.0.5 before 2.0.10.

Users are recommended to upgrade to version 2.0.10, which fixes the issue.

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Analysis

by VulDB Data Team • 07/10/2026

The vulnerability under discussion represents a critical out-of-bounds read condition that exists within the Apache IoTDB C++ client implementation, specifically within the TsBlock deserializer component. This flaw manifests when the client encounters malformed data transmitted by a server, leading to a crash of the client process through improper input validation mechanisms. The issue spans across multiple version ranges including 1.3.5 through 1.3.7 and 2.0.5 through 2.0.9, indicating a widespread impact within the IoTDB C++ client ecosystem.

The technical nature of this vulnerability stems from insufficient bounds checking during data deserialization operations within the TsBlock processing pipeline. When the C++ client attempts to parse incoming data structures, it fails to properly validate array indices or buffer limits before accessing memory locations, resulting in unauthorized memory access patterns that ultimately cause process termination. This type of flaw falls under the CWE-129 category of Improper Validation of Array Index, which directly relates to the improper input validation aspect mentioned in the vulnerability description. The out-of-bounds read condition creates a potential attack surface where malicious actors could exploit this weakness through crafted server responses designed to trigger memory access violations.

The operational impact of this vulnerability extends beyond simple client crashes, as it can lead to service disruption within IoTDB environments where C++ clients are deployed for data ingestion and processing tasks. When a client process terminates due to this out-of-bounds read, it can result in data loss, connection timeouts, and overall system instability within time-series data collection infrastructures. The vulnerability particularly affects systems that rely on automated client connections to IoTDB servers, as any malformed response from the server could trigger immediate client termination without proper error handling or graceful degradation mechanisms.

From a cybersecurity perspective, this vulnerability aligns with ATT&CK tactics related to privilege escalation and denial of service through process manipulation. The flaw enables an attacker who can influence server-side data transmission to potentially cause unauthorized disruption of client services, especially in environments where clients automatically reconnect after termination. The fix implemented in version 2.0.10 addresses the core deserialization logic by incorporating proper bounds checking mechanisms that validate input parameters before memory access operations occur. This remediation approach follows standard secure coding practices that emphasize defensive programming techniques to prevent buffer overflows and out-of-bounds memory access patterns.

Organizations utilizing Apache IoTDB C++ clients within their time-series data infrastructure should prioritize immediate upgrade to version 2.0.10 or higher to mitigate this vulnerability. The recommended mitigation strategy involves comprehensive testing of the upgraded client software in staging environments before deploying to production systems, ensuring that all client applications continue to function correctly with the patched deserialization logic. Additionally, implementing network-level monitoring for unusual data patterns from IoTDB servers can provide early detection capabilities for potential exploitation attempts targeting this specific vulnerability.

Responsible

Apache

Reservation

04/13/2026

Disclosure

07/10/2026

Moderation

accepted

CPE

ready

EPSS

0.00000

KEV

no

Activities

very low

Sources

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