CVE-2023-37281
Contiki-NG IPv6 Header Decompression Out-of-Bounds Read
Description
Contiki-NG is an operating system for internet-of-things devices. In versions 4.9 and prior, when processing the various IPv6 header fields during IPHC header decompression, Contiki-NG confirms the received packet buffer contains enough data as needed for that field. But no similar check is done before decompressing the IPv6 address. Therefore, up to 16 bytes can be read out of bounds on the line with the statement `memcpy(&ipaddr->u8[16 - postcount], iphc_ptr, postcount);`. The value of `postcount` depends on the address compression used in the received packet and can be controlled by the attacker. As a result, an attacker can inject a packet that causes an out-of-bound read. As of time of publication, a patched version is not available. As a workaround, one can apply the changes in Contiki-NG pull request #2509 to patch the system.
INFO
Published Date :
Sept. 15, 2023, 8:15 p.m.
Last Modified :
Nov. 21, 2024, 8:11 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
1.4
Exploitability Score :
3.9
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2023-37281.
| URL | Resource |
|---|---|
| https://github.com/contiki-ng/contiki-ng/pull/2509 | Issue Tracking Patch |
| https://github.com/contiki-ng/contiki-ng/security/advisories/GHSA-2v4c-9p48-g9pr | Vendor Advisory |
| https://github.com/contiki-ng/contiki-ng/pull/2509 | Issue Tracking Patch |
| https://github.com/contiki-ng/contiki-ng/security/advisories/GHSA-2v4c-9p48-g9pr | Vendor Advisory |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2023-37281 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2023-37281 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by af854a3a-2127-422b-91ae-364da2661108
Nov. 21, 2024
Action Type Old Value New Value Added Reference https://github.com/contiki-ng/contiki-ng/pull/2509 Added Reference https://github.com/contiki-ng/contiki-ng/security/advisories/GHSA-2v4c-9p48-g9pr -
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Sep. 19, 2023
Action Type Old Value New Value Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N Changed Reference Type https://github.com/contiki-ng/contiki-ng/pull/2509 No Types Assigned https://github.com/contiki-ng/contiki-ng/pull/2509 Issue Tracking, Patch Changed Reference Type https://github.com/contiki-ng/contiki-ng/security/advisories/GHSA-2v4c-9p48-g9pr No Types Assigned https://github.com/contiki-ng/contiki-ng/security/advisories/GHSA-2v4c-9p48-g9pr Vendor Advisory Added CPE Configuration OR *cpe:2.3:o:contiki-ng:contiki-ng:*:*:*:*:*:*:*:* versions up to (including) 4.9
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2023-37281 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2023-37281
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.07 }} 0.00%
score
0.30902
percentile