OpenPLC_v3 contains a heap-based buffer overflow in the getData() function in webserver/core/modbus_master.cpp. getData() reads characters between two delimiters into a caller-supplied buffer with no size parameter and no bounds check. In parseConfig() the function is invoked with the 100-byte heap-allocated MB_device.dev_name field. An authenticated attacker with access to the OpenPLC web interface can send a crafted HTTP POST to the /modbus endpoint with an oversized device_name value; the value is persisted to mbconfig.cfg and parsed on load, overflowing dev_name and overwriting adjacent struct fields (protocol at offset 108, dev_address at offset 109, ip_port at offset 210). A 200-byte payload writes 100 bytes past the allocation. The result is heap corruption leading to runtime crash and denial of service of the PLC process control loop, with attacker-controlled overwrite of adjacent configuration fields. The upstream repository was archived on 2026-04-04 and no fix is expected; t
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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.
OpenPLC_v3 contains a critical heap-based buffer overflow vulnerability (CWE-122) in the getData() function within its Modbus master component. The vulnerability exists because getData() reads user-supplied input between delimiters into a fixed 100-byte heap buffer without performing bounds checking. An authenticated attacker with access to the OpenPLC web interface can exploit this by sending a crafted HTTP POST request to the /modbus endpoint containing an oversized device_name parameter. This allows an attacker to overwrite adjacent heap memory, potentially leading to arbitrary code execution, denial of service, or information disclosure. Organizations running OpenPLC_v3 for industrial control systems, building automation, or critical infrastructure monitoring are at risk, particularly those exposing the web interface to untrusted networks or operating in environments where authenticated users may be compromised.
While this CVE does not currently map to specific MITRE ATT&CK techniques in public databases, Casky's security skills trained on Claude AI would detect the exploitation patterns associated with this vulnerability by identifying HTTP POST requests to the /modbus endpoint with abnormally large or specially crafted device_name parameters that exceed expected buffer sizes. Extended reasoning across Casky's 754 mapped security skills would recognize this as a supply chain or credential-based access scenario (potentially T1199 or T1078 for authenticated access), followed by exploitation attempts that correlate with software vulnerability exploitation patterns. Practitioners would observe alerts flagging unusual web server input patterns, memory corruption indicators, or unexpected process behavior following Modbus configuration requests—signals that Claude's reasoning engine would correlate to pinpoint this specific buffer overflow attack vector before exploitation succeeds.
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