A heap-based buffer overflow vulnerability in the PC bridge protocol decoder of BoschSensortec COINES_SDK (versions 2.10 through 2.12.2) allows attackers to cause a denial of service (process crash) or potentially execute arbitrary code. The bridge decoder ({{bridge_decoder.c}}) trusts the packet length field provided by the external device and forwards it to the host response queue ({{mqueue_add_data}}) without validating the bounds of the destination buffer. A malicious or compromised USB or Bluetooth Low Energy (BLE) peripheral can advertise a payload size up to ~3 KB, which exceeds the default queue slot size of 255 bytes. This results in an unbounded heap overwrite ({{memcpy}}), corrupting adjacent heap metadata on the host system when processing the device's response.
Casky was already ahead
This CVE exploits attack patterns that Casky's 0matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.
CVE-2026-42807 is a heap-based buffer overflow vulnerability in the PC bridge protocol decoder of BoschSensortec COINES_SDK versions 2.10 through 2.12.2. The vulnerability exists because the bridge_decoder.c module blindly trusts packet length fields from external devices without validating buffer boundaries before writing to the host response queue via mqueue_add_data(). This allows attackers to overflow heap memory by sending specially crafted packets with inflated length values, leading to process crashes (denial of service) or arbitrary code execution. Organizations deploying IoT sensor applications, embedded systems, or industrial automation solutions that rely on BoschSensortec's COINES SDK for sensor interfacing are directly affected, particularly in environments where sensor communication channels may be compromised or untrusted.
While this CVE maps to CWE-122 (Heap-based Buffer Overflow), it does not currently align with specific MITRE ATT&CK techniques in Casky's skill taxonomy, indicating a detection gap in protocol-level memory corruption attacks. However, Casky's extended reasoning capabilities would identify this vulnerability through skills covering input validation failures, memory safety analysis, and protocol parsing weaknesses. Practitioners using Casky would see findings related to insufficient input sanitization on network-facing parsers, unsafe buffer operations without length checks, and trust boundaries between external device inputs and kernel-level queue handlers. The platform's Claude-powered analysis would flag the absence of defensive bounds checking and recommend code review patterns focused on protocol decoder hardening—specifically validating all packet metadata before heap allocation and implementing safe string/buffer handling in bridge communication layers.
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