CVE-2025-9007 is a high-severity buffer overflow vulnerability found in the Tenda CH22 router, specifically affecting version 1.0.0.1. The vulnerability resides in the function formeditFileName within the /goform/editFileName endpoint. This function improperly handles input data, allowing an attacker to overflow a buffer by sending crafted requests remotely without requiring user interaction or prior authentication. The buffer overflow can lead to memory corruption, which attackers may exploit to execute arbitrary code, cause denial of service, or potentially gain elevated privileges on the device. The vulnerability is remotely exploitable over the network, increasing its risk profile. Although no public exploits are currently known to be actively used in the wild, the exploit code has been disclosed publicly, making it easier for threat actors to weaponize this vulnerability. The CVSS 4.0 base score of 8.7 reflects the high impact on confidentiality, integrity, and availability, combined with the ease of exploitation (network attack vector, no user interaction, no authentication required). The vulnerability does not require any special conditions such as user interaction or privileges, which significantly broadens the attack surface. The lack of available patches or mitigation links at this time further elevates the risk for affected users. Given the critical role of routers in network infrastructure, successful exploitation could allow attackers to intercept, modify, or disrupt network traffic, potentially compromising connected systems and data.

For European organizations, the impact of CVE-2025-9007 could be substantial. Tenda CH22 routers are commonly used in small to medium-sized enterprises and residential environments, meaning that both corporate and home networks could be vulnerable. Exploitation could lead to unauthorized access to internal networks, interception of sensitive communications, and disruption of business operations through denial of service. This is particularly concerning for sectors with stringent data protection requirements under GDPR, as a breach could lead to significant regulatory penalties and reputational damage. Additionally, compromised routers could serve as footholds for lateral movement within corporate networks or as launch points for broader attacks such as ransomware or espionage campaigns. The remote and unauthenticated nature of the exploit increases the likelihood of widespread scanning and exploitation attempts, especially in environments where Tenda devices are prevalent and not promptly updated. The absence of patches means organizations must rely on network-level mitigations and monitoring to reduce risk, which may not be sufficient against sophisticated attackers.

Given the lack of official patches, European organizations should implement several specific mitigation strategies: 1) Network Segmentation: Isolate Tenda CH22 devices on separate VLANs or subnets to limit exposure and prevent lateral movement if compromised. 2) Access Controls: Restrict remote management interfaces of routers to trusted IP addresses only, using firewall rules or VPN access to reduce attack surface. 3) Intrusion Detection/Prevention: Deploy network-based IDS/IPS solutions with signatures or anomaly detection tuned to identify exploitation attempts targeting /goform/editFileName or unusual buffer overflow patterns. 4) Firmware Monitoring: Regularly check for vendor updates or security advisories and apply patches immediately once available. 5) Device Replacement: For critical environments, consider replacing vulnerable Tenda CH22 routers with devices from vendors with stronger security track records and active patch management. 6) Logging and Alerting: Enable detailed logging on routers and network devices to detect suspicious activities and respond rapidly. 7) User Awareness: Educate IT staff about this vulnerability and the importance of monitoring and restricting router access. These targeted actions go beyond generic advice by focusing on network architecture changes, access restrictions, and proactive detection tailored to the specific vulnerability and device type.