Skip to main content
Press slash or control plus K to focus the search. Use the arrow keys to navigate results and press enter to open a threat.
Reconnecting to live updates…

CVE-2023-31247: CWE-119: Improper Restriction of Operations within the Bounds of a Memory Buffer in Silicon Labs Gecko Platform

0
Critical
VulnerabilityCVE-2023-31247cvecve-2023-31247cwe-119
Published: Tue Nov 14 2023 (11/14/2023, 09:14:51 UTC)
Source: CVE Database V5
Vendor/Project: Silicon Labs
Product: Gecko Platform

Description

A memory corruption vulnerability exists in the HTTP Server Host header parsing functionality of Weston Embedded uC-HTTP v3.01.01. A specially crafted network packet can lead to code execution. An attacker can send a malicious packet to trigger this vulnerability.

AI-Powered Analysis

AILast updated: 11/04/2025, 20:44:50 UTC

Technical Analysis

CVE-2023-31247 identifies a critical security vulnerability in the Silicon Labs Gecko Platform, specifically affecting the Weston Embedded uC-HTTP server version 3.01.01. The flaw is a memory corruption issue classified under CWE-119, caused by improper restriction of operations within the bounds of a memory buffer during the parsing of the HTTP Host header. This vulnerability allows an attacker to send a specially crafted network packet that triggers out-of-bounds memory operations, leading to potential remote code execution on the affected device. The attack vector is network-based, requiring no authentication or user interaction, which significantly increases the risk profile. The vulnerability affects version 4.3.1.0 of the Gecko Platform and has been assigned a CVSS v3.1 score of 9.0, indicating critical severity with high impact on confidentiality, integrity, and availability. While no public exploits have been observed in the wild yet, the vulnerability's nature and ease of exploitation make it a prime target for attackers. The Gecko Platform is widely used in embedded systems and IoT devices, which often operate in critical infrastructure and industrial environments. The lack of available patches at the time of reporting necessitates immediate risk mitigation through network segmentation and traffic filtering to prevent exploitation. This vulnerability highlights the importance of secure memory handling in embedded HTTP servers and the risks posed by parsing untrusted network input without proper bounds checking.

Potential Impact

The potential impact of CVE-2023-31247 on European organizations is significant due to the widespread use of Silicon Labs Gecko Platform in embedded and IoT devices across various sectors including industrial automation, smart cities, healthcare, and telecommunications. Successful exploitation can lead to remote code execution, allowing attackers to gain full control over affected devices. This compromises confidentiality by exposing sensitive data processed or stored on the device, integrity by enabling unauthorized modification of device behavior or data, and availability by potentially causing device crashes or denial of service. For critical infrastructure and industrial control systems prevalent in Europe, such an attack could disrupt essential services and cause operational downtime. The lack of authentication and user interaction requirements means attackers can exploit this vulnerability remotely and stealthily. European organizations with large IoT deployments or embedded device ecosystems are at higher risk, especially if devices are exposed to untrusted networks. The vulnerability also raises concerns about supply chain security and device lifecycle management, as many embedded devices have long operational lifespans and may not receive timely updates.

Mitigation Recommendations

1. Monitor Silicon Labs communications closely for official patches or firmware updates addressing CVE-2023-31247 and apply them promptly once available. 2. Until patches are released, implement strict network segmentation to isolate vulnerable devices from untrusted networks, especially the internet. 3. Deploy network-level filtering and intrusion detection/prevention systems to block or alert on malformed HTTP Host header packets targeting embedded HTTP servers. 4. Conduct an inventory of all devices running the affected Gecko Platform version 4.3.1.0 and assess their exposure to external or less trusted networks. 5. Disable or restrict HTTP server functionality on embedded devices where feasible, or replace with more secure alternatives. 6. Enforce strict access controls and monitor device logs for unusual activity indicative of exploitation attempts. 7. Engage with device vendors and integrators to confirm update plans and ensure secure device management practices. 8. Consider implementing anomaly detection solutions tailored for embedded and IoT environments to detect exploitation attempts early. 9. Educate operational technology (OT) and IoT security teams about this vulnerability and the importance of proactive defense measures.

Need more detailed analysis?Get Pro

Technical Details

Data Version
5.2
Assigner Short Name
talos
Date Reserved
2023-04-28T14:24:36.602Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 690a531f2a90255b94da5f92

Added to database: 11/4/2025, 7:25:19 PM

Last enriched: 11/4/2025, 8:44:50 PM

Last updated: 11/6/2025, 9:43:47 AM

Views: 2

Community Reviews

0 reviews

Crowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.

Sort by
Loading community insights…

Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.

Actions

PRO

Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.

Please log in to the Console to use AI analysis features.

Need enhanced features?

Contact root@offseq.com for Pro access with improved analysis and higher rate limits.

Latest Threats