CVE-2026-22214
Stack-Based Buffer Overflow in RIOT OS ethos Utility Causes Crash
Publication date: 2026-01-12
Last updated on: 2026-01-12
Assigner: VulnCheck
Description
Description
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| riot_os | riot_os | to 2026.01-devel-317 (inc) |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-121 | A stack-based buffer overflow condition is a condition where the buffer being overwritten is allocated on the stack (i.e., is a local variable or, rarely, a parameter to a function). |
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?
CVE-2026-22214 is a stack-based buffer overflow vulnerability in the ethos utility of RIOT OS (up to version 2026.01-devel-317). It occurs in the _handle_char() function, which processes incoming serial frame data by appending bytes to a fixed-size stack buffer without checking if the write index stays within the buffer's bounds. An attacker can send specially crafted serial or TCP-framed input that causes the write index to exceed the buffer size, leading to a write beyond the end of the stack buffer. This results in memory corruption and can cause the application to crash or potentially allow arbitrary code execution depending on runtime protections. [2, 3]
How can this vulnerability impact me? :
This vulnerability can lead to memory corruption and application crashes in the ethos utility of RIOT OS. An attacker capable of sending crafted serial or TCP-framed input can exploit this flaw to cause a denial of service by crashing the application. Depending on compiler options and runtime protections, it may also allow an attacker to execute arbitrary code remotely, which could compromise the affected device or system. [2, 3]
How can this vulnerability be detected on my network or system? Can you suggest some commands?
This vulnerability can be detected by monitoring for crashes or memory corruption events in the ethos utility, especially when it processes incoming serial or TCP-framed data. A practical detection method is to observe application crashes with AddressSanitizer (ASAN) or similar memory error detection tools reporting stack-buffer-overflow errors related to ethos. Since the vulnerability involves receiving oversized payloads (exceeding 9000 bytes) over serial or TCP connections, network monitoring tools can be used to detect unusually large or malformed frames sent to the ethos service. For example, using tcpdump or Wireshark to capture and analyze TCP traffic to the ethos client port can help identify suspicious payloads. Additionally, running ethos under a debugger (gdb) or memory sanitizer (valgrind, ASAN) while sending crafted inputs can reveal the overflow. A proof-of-concept exploit sends a payload of 9501 bytes to trigger the crash, so commands to test might include: 1) Using netcat or a custom Python script to send a large payload over TCP to the ethos client port. 2) Running ethos under ASAN or valgrind to detect out-of-bounds writes. 3) Using tcpdump to capture traffic: `tcpdump -i <interface> tcp port <ethos_port> -w capture.pcap` 4) Analyzing captured traffic with Wireshark for oversized frames. Specific commands depend on the environment and ethos configuration but generally involve network capture and memory error detection tools. [2]
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include: 1) Restricting access to the ethos utility's serial and TCP interfaces to trusted sources only, preventing untrusted or external attackers from sending crafted frames. 2) Applying input filtering or rate limiting on serial and TCP inputs to prevent oversized or malformed frames from reaching ethos. 3) Monitoring ethos for crashes and restarting the service as needed while investigating. 4) If possible, updating RIOT OS to a version newer than 2026.01-devel-317 where this vulnerability is fixed. 5) Running ethos with memory protection tools such as AddressSanitizer or similar to detect and prevent exploitation attempts. 6) Reviewing network firewall rules to block suspicious traffic targeting ethos. Since the vulnerability arises from missing bounds checking in the _handle_char() function, patching the software to include proper bounds validation is the definitive fix, but until then, limiting exposure and monitoring are key. [2, 3]