CVE-2022-40784: n/a in n/a
Unlimited strcpy on user input when setting a locale file leads to stack buffer overflow in mIPC camera firmware 5.3.1.2003161406.
AI Analysis
Technical Summary
CVE-2022-40784 is a high-severity stack-based buffer overflow vulnerability found in the firmware version 5.3.1.2003161406 of mIPC cameras. The root cause is an unchecked use of the strcpy function when setting a locale file based on user input. Since strcpy does not limit the length of the copied string, an attacker can supply an overly long input string that overflows the stack buffer. This overflow can overwrite adjacent memory, potentially allowing arbitrary code execution, denial of service, or system compromise. The vulnerability requires low attack complexity (no user interaction needed) and only requires privileges to send input to the locale setting function (PR:L). The CVSS 3.1 base score is 8.8, reflecting critical impacts on confidentiality, integrity, and availability. No patches or known exploits in the wild have been reported yet. The vulnerability is categorized under CWE-787 (Out-of-bounds Write). The affected product is an embedded IoT device (mIPC camera), which typically runs with limited security controls and is often deployed in networked environments, increasing the risk of exploitation. The lack of vendor and product details limits precise identification, but the firmware version and device type are clear indicators of the affected system.
Potential Impact
For European organizations, this vulnerability poses a significant risk especially to entities using mIPC cameras for surveillance, security, or monitoring purposes. Exploitation could lead to unauthorized access to video feeds, disruption of surveillance capabilities, or pivoting into internal networks. Critical infrastructure, government facilities, corporate offices, and residential buildings using these cameras could be impacted. The compromise of camera firmware can lead to loss of confidentiality (exposure of sensitive video data), integrity (tampering with video streams or device settings), and availability (device crashes or denial of service). Given the high CVSS score and the nature of IoT devices often having weak update mechanisms, the threat could persist for extended periods. European organizations with large deployments of these cameras or integrated security systems relying on them are at higher risk. Additionally, the lack of patches increases the urgency for mitigation.
Mitigation Recommendations
1. Immediate network segmentation: Isolate mIPC cameras on dedicated VLANs or subnets with strict firewall rules to limit exposure. 2. Disable or restrict remote access to the cameras unless absolutely necessary, and enforce strong authentication mechanisms. 3. Monitor network traffic for unusual activity targeting the locale setting or firmware update interfaces. 4. Employ intrusion detection/prevention systems (IDS/IPS) tuned to detect buffer overflow attempts or malformed packets targeting these devices. 5. Contact the vendor or supplier for firmware updates or patches; if unavailable, consider replacing vulnerable devices with more secure alternatives. 6. Implement strict input validation and sanitization on any management interfaces interacting with the cameras. 7. Maintain an asset inventory to identify all mIPC cameras and track their firmware versions. 8. Regularly audit and update device configurations to minimize attack surface. 9. Consider deploying endpoint detection on networks where these cameras operate to detect lateral movement or exploitation attempts.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Belgium, Poland, Sweden
CVE-2022-40784: n/a in n/a
Description
Unlimited strcpy on user input when setting a locale file leads to stack buffer overflow in mIPC camera firmware 5.3.1.2003161406.
AI-Powered Analysis
Technical Analysis
CVE-2022-40784 is a high-severity stack-based buffer overflow vulnerability found in the firmware version 5.3.1.2003161406 of mIPC cameras. The root cause is an unchecked use of the strcpy function when setting a locale file based on user input. Since strcpy does not limit the length of the copied string, an attacker can supply an overly long input string that overflows the stack buffer. This overflow can overwrite adjacent memory, potentially allowing arbitrary code execution, denial of service, or system compromise. The vulnerability requires low attack complexity (no user interaction needed) and only requires privileges to send input to the locale setting function (PR:L). The CVSS 3.1 base score is 8.8, reflecting critical impacts on confidentiality, integrity, and availability. No patches or known exploits in the wild have been reported yet. The vulnerability is categorized under CWE-787 (Out-of-bounds Write). The affected product is an embedded IoT device (mIPC camera), which typically runs with limited security controls and is often deployed in networked environments, increasing the risk of exploitation. The lack of vendor and product details limits precise identification, but the firmware version and device type are clear indicators of the affected system.
Potential Impact
For European organizations, this vulnerability poses a significant risk especially to entities using mIPC cameras for surveillance, security, or monitoring purposes. Exploitation could lead to unauthorized access to video feeds, disruption of surveillance capabilities, or pivoting into internal networks. Critical infrastructure, government facilities, corporate offices, and residential buildings using these cameras could be impacted. The compromise of camera firmware can lead to loss of confidentiality (exposure of sensitive video data), integrity (tampering with video streams or device settings), and availability (device crashes or denial of service). Given the high CVSS score and the nature of IoT devices often having weak update mechanisms, the threat could persist for extended periods. European organizations with large deployments of these cameras or integrated security systems relying on them are at higher risk. Additionally, the lack of patches increases the urgency for mitigation.
Mitigation Recommendations
1. Immediate network segmentation: Isolate mIPC cameras on dedicated VLANs or subnets with strict firewall rules to limit exposure. 2. Disable or restrict remote access to the cameras unless absolutely necessary, and enforce strong authentication mechanisms. 3. Monitor network traffic for unusual activity targeting the locale setting or firmware update interfaces. 4. Employ intrusion detection/prevention systems (IDS/IPS) tuned to detect buffer overflow attempts or malformed packets targeting these devices. 5. Contact the vendor or supplier for firmware updates or patches; if unavailable, consider replacing vulnerable devices with more secure alternatives. 6. Implement strict input validation and sanitization on any management interfaces interacting with the cameras. 7. Maintain an asset inventory to identify all mIPC cameras and track their firmware versions. 8. Regularly audit and update device configurations to minimize attack surface. 9. Consider deploying endpoint detection on networks where these cameras operate to detect lateral movement or exploitation attempts.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2022-09-19T00:00:00.000Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682f2fb50acd01a24925c8cf
Added to database: 5/22/2025, 2:07:49 PM
Last enriched: 7/8/2025, 10:42:57 AM
Last updated: 7/30/2025, 8:31:50 PM
Views: 9
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