Raw vector
CVSS:3.1/AV:N/AC:H/PR:H/UI:R/S:U/C:H/I:H/A:LSummary
CVE-2024-29195 is a medium-severity Classic Buffer Overflow (CWE-120) vulnerability in Microsoft Azure C Shared Utility. Its CVSS base score is 6.0 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked in the top 9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
The azure-c-shared-utility C library, used by the Azure IoT C SDK for AMQP and MQTT communication with Azure IoT Hub, contains a flaw in its parameter-checking logic for buffer length values. An attacker-supplied length can trigger integer wraparound, under-allocation, or a subsequent heap buffer overflow (CWE-120), potentially enabling remote code execution on an IoT device.
Exploitation requires a compromised Azure account that can inject malformed payloads through IoT Hub, the ability to exceed the service’s 128 KB message-size limit, and sufficient control to overwrite executable memory. Under these conditions an attacker can achieve arbitrary code execution on the affected device.
The vulnerability was addressed in commit 1129147c38ac02ad974c4c701a1e01b2141b9fe2 of azure-c-shared-utility; the corresponding GitHub Security Advisory GHSA-m8wp-hc7w-x4xg recommends updating to a patched version of the library.
EPSS for the CVE rose from low values to a peak of 0.0592 on 2025-12-18 before receding to the current 0.0242, indicating a measurable increase in exploitation interest after public disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-26216
Vulnerability Data
The azure-c-shared-utility is a C library for AMQP/MQTT communication to Azure Cloud Services. This library may be used by the Azure IoT C SDK for communication between IoT Hub and IoT Hub devices. An attacker can cause an integer wraparound…
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or under-allocation or heap buffer overflow due to vulnerabilities in parameter checking mechanism, by exploiting the buffer length parameter in Azure C SDK, which may lead to remote code execution. Requirements for RCE are 1. Compromised Azure account allowing malformed payloads to be sent to the device via IoT Hub service, 2. By passing IoT hub service max message payload limit of 128KB, and 3. Ability to overwrite code space with remote code. Fixed in commit https://github.com/Azure/azure-c-shared-utility/commit/1129147c38ac02ad974c4c701a1e01b2141b9fe2.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V5.2.1
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and analysis can find missing size checks before deployment.
Input validation directly enforces size checks before buffer copies.
Engineering principles require bounds checking and safe buffer handling in design.
Memory protection limits the impact of an overflow once it occurs.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure development practices directly enforce bounds checking and input validation that prevent classic buffer overflows.
Vulnerability identification processes such as code review or scanning detect classic buffer overflows before exploitation.
Routine patching replaces vulnerable code containing unchecked buffer copies with corrected versions.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Secure coding directly requires bounds-checked memory operations, addressing the root cause of CWE-120.
Security testing in development and acceptance can detect buffer overflows through fuzzing and static analysis, though it does not prevent them at the source.
Secure development life cycle mandates processes that can include input validation and bounds checking to prevent buffer overflows.
Application security requirements can specify input-size validation and safe buffer handling to mitigate classic buffer overflows.
Secure system architecture and engineering principles promote defensive coding patterns that reduce the likelihood of unchecked buffer copies.