Security Resilience

CVE-2023-34101

Memory Safety in Contiki-Ng ≤ 4.8

Published
14 June 2023
Modified
21 November 2024
Patch / advisory
CVSS Score v3.1 7.3
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L
EPSS Score 0.0050 42th percentile
Risk Priority 56 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2023-34101 is a high-severity Out-of-bounds Read (CWE-125) vulnerability in Contiki-Ng Contiki-Ng. Its CVSS base score is 7.3 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Data Obfuscation (T1001); ranked at the 42th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability Data

Contiki-NG is an operating system for internet of things devices. In version 4.8 and prior, when processing ICMP DAO packets in the `dao_input_storing` function, the Contiki-NG OS does not verify that the packet buffer is big enough to contain the…

more

bytes it needs before accessing them. Up to 16 bytes can be read out of bounds in the `dao_input_storing` function. An attacker can truncate an ICMP packet so that it does not contain enough data, leading to an out-of-bounds read on these lines. The problem has been patched in the "develop" branch of Contiki-NG, and is expected to be included in release 4.9. As a workaround, one can apply the changes in Contiki-NG pull request #2435 to patch the system.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1001 Data Obfuscation Command And Control
Adversaries may obfuscate command and control traffic to make it more difficult to detect.
T1001.002 Steganography Command And Control
Adversaries may use steganographic techniques to hide command and control traffic to make detection efforts more difficult.
T1003.002 Security Account Manager Credential Access
Adversaries may attempt to extract credential material from the Security Account Manager (SAM) database either through in-memory techniques or through the Windows Registry where the SAM database is stored.
T1003.003 NTDS Credential Access
Adversaries may attempt to access or create a copy of the Active Directory domain database in order to steal credential information, as well as obtain other information about domain members such as devices, users, and access rights.
T1003.004 LSA Secrets Credential Access
Adversaries with SYSTEM access to a host may attempt to access Local Security Authority (LSA) secrets, which can contain a variety of different credential materials, such as credentials for service accounts.
T1003.006 DCSync Credential Access
Adversaries may attempt to access credentials and other sensitive information by abusing a Windows Domain Controller's application programming interface (API)(Citation: Microsoft DRSR Dec 2017) (Citation: Microsoft GetNCCChanges) (Citati…
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-34100Same product: Contiki-Ng Contiki-Ng
CVE-2024-41126Same product: Contiki-Ng Contiki-Ng
CVE-2023-37281Same product: Contiki-Ng Contiki-Ng
CVE-2023-50926Same product: Contiki-Ng Contiki-Ng
CVE-2023-37459Same product: Contiki-Ng Contiki-Ng
CVE-2023-50927Same product: Contiki-Ng Contiki-Ng
CVE-2024-41125Same product: Contiki-Ng Contiki-Ng
CVE-2023-30546Same product: Contiki-Ng Contiki-Ng
CVE-2025-48822Shared CWE-125
CVE-2023-42063Shared CWE-125

Affected Assets

contiki-ng
contiki-ng
≤ 4.8

Mitigating Controls

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.

ID.RA-01 partial match
blocks

Vulnerability scanning and recording can discover instances of out-of-bounds reads after code is deployed.

PR.PS-02 partial match
blocks

Routine patching replaces vulnerable code containing out-of-bounds read flaws.

PR.PS-06 partial match
blocks

Secure-development practices such as bounds checking and memory-safe languages directly prevent out-of-bounds reads.

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.

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References