CVE-2026-27703
NixOS vulnerability analysis and mitigation

Overview

CVE-2026-27703 is an out-of-bounds write vulnerability in the nanoCoAP handler of RIOT OS, an open-source operating system designed for IoT and embedded devices. The flaw exists in the coap_well_known_core_default_handler function, which writes user-provided CoAP option data into a fixed-size stack buffer without validating buffer bounds, enabling denial of service or arbitrary code execution. All RIOT versions up to and including 2026.01 are affected. The vulnerability was published on March 11, 2026, with a CVSS v3.1 base score of 9.8 (Critical) per Feedly/NVD, though the GitHub Security Advisory assigns a score of 7.5 (High) with a narrower impact scope (GitHub Advisory, Red Hat CVE).

Technical details

The root cause is an out-of-bounds write (CWE-787) in RIOT's nanoCoAP server implementation. The coap_well_known_core_default_handler, registered as the handler for the /.well-known/core resource path (nanocoap.h:L2621), computes a payload pointer based on the CoAP header and extended token length (nanocoap.c:L1510) without verifying the pointer remains within the fixed-size response buffer (default 112 bytes, CONFIG_NANOCOAP_SERVER_BUF_SIZE). An attacker sends a valid CoAP UDP packet with a header and extended token length exceeding 112 bytes; the coap_parse_udp validation only checks packet validity, not token/option size limits. The handler then writes option data and other response bytes (nanocoap.c:L1512–1526) past the buffer boundary, corrupting adjacent stack memory including return addresses (GitHub Advisory).

Impact

Successful exploitation allows an unauthenticated remote attacker to corrupt stack memory on the affected RIOT device, overwriting security-sensitive data such as return addresses. In the worst case — particularly on embedded systems where hardware memory protections (e.g., ASLR, stack canaries) are commonly absent — this enables full hijacking of the server's execution flow, resulting in arbitrary code execution. At minimum, the vulnerability causes a denial of service (device crash). Affected users are those running the nanoCoAP server with the /.well-known/core resource exposed to untrusted clients and with extended token length support enabled (GitHub Advisory).

Exploitability

No confirmed proof-of-concept exploit code or in-the-wild exploitation has been observed as of the time of reporting. The GitHub Security Advisory notes that the PoC section contains no reproduction steps or exploit payload (GitHub Advisory). The vulnerability requires no authentication, no user interaction, and is remotely exploitable over the network, making it attractive to attackers targeting IoT infrastructure. The EPSS score is approximately 0.047% (low probability of near-term exploitation), and there is no indication of CISA KEV catalog inclusion (Red Hat CVE).

Exploitation steps

  1. Reconnaissance: Identify RIOT-based IoT devices exposing a CoAP server (UDP port 5683 by default) on the network using tools like Shodan, Censys, or nmap with CoAP service detection scripts. Confirm the device responds to CoAP requests and exposes the /.well-known/core resource.
  2. Craft malicious CoAP packet: Construct a valid CoAP UDP packet targeting the /.well-known/core path with a CoAP header and extended token length that, when combined, exceeds the server's fixed response buffer size (default 112 bytes, CONFIG_NANOCOAP_SERVER_BUF_SIZE). Tools such as libcoap's coap-client or custom Python scripts using the aiocoap library can be used.
  3. Send the packet: Transmit the crafted CoAP packet to the target device's CoAP UDP port. The coap_parse_udp function will accept the packet as valid since it only validates packet structure, not token/option size limits.
  4. Trigger out-of-bounds write: The coap_well_known_core_default_handler computes a payload pointer beyond the buffer boundary and writes option data from the attacker-controlled packet into adjacent stack memory, overwriting the return address or other sensitive values.
  5. Achieve objective: Depending on the payload and target memory layout, the attacker achieves denial of service (crash/reboot) or, with a carefully crafted payload on devices lacking memory protections, redirects execution to attacker-controlled code (GitHub Advisory).

Indicators of compromise

  • Network: Unexpected or malformed CoAP UDP packets (port 5683) destined for /.well-known/core with unusually large token lengths (>112 bytes); repeated CoAP requests from a single external IP to the CoAP service.
  • Logs: Device crash logs or watchdog reset events following receipt of CoAP traffic; anomalous CoAP request logs showing oversized token or option fields.
  • Process/Device Behavior: Unexpected device reboots or hangs after receiving CoAP traffic; abnormal execution behavior or unresponsive CoAP service following a specific request pattern.

Mitigation and workarounds

The GitHub Security Advisory indicates no patched version has been formally released as of the advisory publication date (March 11, 2026), though a patch is noted as available in the advisory (GitHub Advisory). Users should upgrade RIOT to a version later than 2026.01 once a patched release is available. As an immediate workaround, restrict network access to CoAP services (UDP port 5683) using firewall rules to allow only trusted clients, or disable the /.well-known/core resource in the nanoCoAP server configuration. Additionally, consider increasing CONFIG_NANOCOAP_SERVER_BUF_SIZE or implementing input validation on token/option lengths as a defensive measure until an official patch is applied (Red Hat CVE).

Community reactions

The vulnerability was reported by researcher AmPaschal and published by RIOT-OS maintainer maribu via GitHub Security Advisory on March 11, 2026 (GitHub Advisory). Brief mentions appeared on Bluesky and threat intelligence aggregators shortly after disclosure, but no significant broader media coverage or notable researcher commentary has been identified beyond the initial advisory.

Additional resources


SourceThis report was generated using AI

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