CVE-2023-45318: CWE-122: Heap-based Buffer Overflow in Silicon Labs Gecko Platform
A heap-based buffer overflow vulnerability exists in the HTTP Server functionality of Weston Embedded uC-HTTP git commit 80d4004. A specially crafted network packet can lead to arbitrary code execution. An attacker can send a malicious packet to trigger this vulnerability.
AI Analysis
Technical Summary
CVE-2023-45318 is a heap-based buffer overflow vulnerability identified in the HTTP Server functionality of the Weston Embedded uC-HTTP component within Silicon Labs Gecko Platform version 4.3.2.0. The flaw arises from improper handling of network packets, allowing an attacker to craft malicious HTTP requests that overflow heap buffers. This overflow can corrupt memory, leading to arbitrary code execution in the context of the affected device. The vulnerability requires no authentication or user interaction and can be exploited remotely over the network, making it highly accessible to attackers. The CVSS v3.1 score of 10 reflects its critical nature, with attack vector being network (AV:N), no privileges required (PR:N), no user interaction (UI:N), and complete impact on confidentiality, integrity, and availability (C:H/I:H/A:H). The affected product, Silicon Labs Gecko Platform, is widely used in embedded systems and IoT devices, including industrial controllers, smart home devices, and wireless modules. While no public exploits have been reported yet, the vulnerability's characteristics suggest it could be weaponized quickly once a proof-of-concept is developed. The lack of available patches at the time of reporting increases the urgency for mitigation through network controls and monitoring. The CWE-122 classification confirms the root cause as a heap-based buffer overflow, a common and dangerous memory corruption issue that can lead to system compromise.
Potential Impact
The impact of CVE-2023-45318 on European organizations can be severe, especially for those relying on embedded systems and IoT devices powered by the Silicon Labs Gecko Platform. Successful exploitation allows attackers to execute arbitrary code remotely, potentially leading to full device takeover. This can result in data breaches, disruption of critical services, and compromise of industrial control systems. The vulnerability threatens confidentiality by exposing sensitive data processed by the device, integrity by allowing unauthorized code execution and manipulation, and availability by enabling denial-of-service conditions or device bricking. Sectors such as manufacturing, energy, healthcare, and smart city infrastructure in Europe are particularly vulnerable due to their increasing dependence on embedded and IoT technologies. The critical CVSS score underscores the potential for widespread damage if exploited at scale. Furthermore, the remote and unauthenticated nature of the exploit increases the risk of automated attacks and worm-like propagation within poorly segmented networks.
Mitigation Recommendations
1. Immediate mitigation should focus on network-level controls: restrict inbound access to devices running Silicon Labs Gecko Platform HTTP Server functionality to trusted networks only. 2. Implement strict network segmentation and firewall rules to isolate vulnerable embedded devices from the internet and general corporate networks. 3. Deploy intrusion detection and prevention systems (IDS/IPS) with signatures or anomaly detection tuned to identify malformed HTTP packets targeting embedded HTTP servers. 4. Monitor network traffic for unusual HTTP requests or spikes in traffic to embedded devices. 5. Engage with Silicon Labs for updates and patches; apply security patches promptly once available. 6. Conduct vulnerability scanning and asset inventory to identify all devices running affected versions of the Gecko Platform. 7. For critical infrastructure, consider temporary device replacement or disabling HTTP server functionality if feasible until patches are applied. 8. Educate operational technology (OT) and IoT device managers about the vulnerability and recommended controls. 9. Maintain robust backup and recovery procedures to mitigate impact in case of successful exploitation. 10. Collaborate with cybersecurity information sharing organizations to stay informed about emerging exploits or mitigation strategies.
Affected Countries
Germany, France, United Kingdom, Italy, Netherlands, Sweden, Belgium
CVE-2023-45318: CWE-122: Heap-based Buffer Overflow in Silicon Labs Gecko Platform
Description
A heap-based buffer overflow vulnerability exists in the HTTP Server functionality of Weston Embedded uC-HTTP git commit 80d4004. A specially crafted network packet can lead to arbitrary code execution. An attacker can send a malicious packet to trigger this vulnerability.
AI-Powered Analysis
Technical Analysis
CVE-2023-45318 is a heap-based buffer overflow vulnerability identified in the HTTP Server functionality of the Weston Embedded uC-HTTP component within Silicon Labs Gecko Platform version 4.3.2.0. The flaw arises from improper handling of network packets, allowing an attacker to craft malicious HTTP requests that overflow heap buffers. This overflow can corrupt memory, leading to arbitrary code execution in the context of the affected device. The vulnerability requires no authentication or user interaction and can be exploited remotely over the network, making it highly accessible to attackers. The CVSS v3.1 score of 10 reflects its critical nature, with attack vector being network (AV:N), no privileges required (PR:N), no user interaction (UI:N), and complete impact on confidentiality, integrity, and availability (C:H/I:H/A:H). The affected product, Silicon Labs Gecko Platform, is widely used in embedded systems and IoT devices, including industrial controllers, smart home devices, and wireless modules. While no public exploits have been reported yet, the vulnerability's characteristics suggest it could be weaponized quickly once a proof-of-concept is developed. The lack of available patches at the time of reporting increases the urgency for mitigation through network controls and monitoring. The CWE-122 classification confirms the root cause as a heap-based buffer overflow, a common and dangerous memory corruption issue that can lead to system compromise.
Potential Impact
The impact of CVE-2023-45318 on European organizations can be severe, especially for those relying on embedded systems and IoT devices powered by the Silicon Labs Gecko Platform. Successful exploitation allows attackers to execute arbitrary code remotely, potentially leading to full device takeover. This can result in data breaches, disruption of critical services, and compromise of industrial control systems. The vulnerability threatens confidentiality by exposing sensitive data processed by the device, integrity by allowing unauthorized code execution and manipulation, and availability by enabling denial-of-service conditions or device bricking. Sectors such as manufacturing, energy, healthcare, and smart city infrastructure in Europe are particularly vulnerable due to their increasing dependence on embedded and IoT technologies. The critical CVSS score underscores the potential for widespread damage if exploited at scale. Furthermore, the remote and unauthenticated nature of the exploit increases the risk of automated attacks and worm-like propagation within poorly segmented networks.
Mitigation Recommendations
1. Immediate mitigation should focus on network-level controls: restrict inbound access to devices running Silicon Labs Gecko Platform HTTP Server functionality to trusted networks only. 2. Implement strict network segmentation and firewall rules to isolate vulnerable embedded devices from the internet and general corporate networks. 3. Deploy intrusion detection and prevention systems (IDS/IPS) with signatures or anomaly detection tuned to identify malformed HTTP packets targeting embedded HTTP servers. 4. Monitor network traffic for unusual HTTP requests or spikes in traffic to embedded devices. 5. Engage with Silicon Labs for updates and patches; apply security patches promptly once available. 6. Conduct vulnerability scanning and asset inventory to identify all devices running affected versions of the Gecko Platform. 7. For critical infrastructure, consider temporary device replacement or disabling HTTP server functionality if feasible until patches are applied. 8. Educate operational technology (OT) and IoT device managers about the vulnerability and recommended controls. 9. Maintain robust backup and recovery procedures to mitigate impact in case of successful exploitation. 10. Collaborate with cybersecurity information sharing organizations to stay informed about emerging exploits or mitigation strategies.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- talos
- Date Reserved
- 2023-10-06T20:58:14.631Z
- Cisa Enriched
- true
Threat ID: 682d9840c4522896dcbf103c
Added to database: 5/21/2025, 9:09:20 AM
Last enriched: 11/4/2025, 6:54:37 PM
Last updated: 12/2/2025, 5:44:52 AM
Views: 32
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