Raw vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:HCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2023-48229 is a high-severity Out-of-bounds Write (CWE-787) vulnerability in Contiki-Ng Contiki-Ng. Its CVSS base score is 7.0 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Security Account Manager (T1003.002); ranked at the 31th percentile by exploit likelihood (below the median); 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 SA-15 (Development Process, Standards, and Tools) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-52301
Vulnerability Data
Contiki-NG is an open-source, cross-platform operating system for Next-Generation IoT devices. An out-of-bounds write exists in the driver for IEEE 802.15.4 radios on nRF platforms in the Contiki-NG operating system. The problem is triggered when parsing radio frames in the…
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`read_frame` function in the `arch/cpu/nrf/net/nrf-ieee-driver-arch.c` module. More specifically, the `read_frame` function performs an incomplete validation of the payload length of the packet, which is a value that can be set by an external party that sends radio packets to a Contiki-NG system. Although the value is validated to be in the range of the MTU length, it is not validated to fit into the given buffer into which the packet will be copied. The problem has been patched in the "develop" branch of Contiki-NG and is expected to be included in subsequent releases. Users are advised to update their develop branch or to update to a subsequent release when available. Users unable to upgrade should consider manually applying the changes in PR #2741.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation (including fuzzing and bounds checks) finds out-of-bounds write flaws before deployment.
Requiring documented secure-development standards and tools can mandate bounds-checked coding practices that avoid the weakness.
Input validation can structurally reject or sanitize data that would otherwise trigger an out-of-bounds write.
Memory-protection mechanisms limit the exploitability and blast radius of a successful out-of-bounds write.
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.
Vulnerability scanning and recording can discover out-of-bounds write flaws so they can be remediated.
Patching or replacing vulnerable software directly eliminates known instances of this coding weakness.
Secure-development practices (static analysis, bounds checking, code review) are the primary means of preventing out-of-bounds writes.
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.