CVE-2017-17225
8.8 · HIGHOverview
CVE-2017-17225 is a high-severity vulnerability affecting huawei mate_9_pro_firmware. It was published on March 9, 2018 and has a CVSS 3.0 base score of 8.8 (HIGH).
This vulnerability has a CVSS 3.0 base score of 8.8, rated HIGH. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
Technical Description
The Near Field Communication (NFC) module in Huawei Mate 9 Pro mobile phones with the versions before LON-AL00B 8.0.0.340a(C00) has a buffer overflow vulnerability due to the lack of input validation. An attacker may use an NFC card reader or another device to inject malicious data into a target mobile phone. Successful exploit could lead to system restart or arbitrary code execution.
Remediation
Check the references section for vendor advisories and patches from huawei. Update mate_9_pro_firmware to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Affected Products
| Vendor | Product | Versions | Status |
|---|---|---|---|
| huawei | mate_9_pro_firmware | >= 0, < lon-al00b_8.0.0.340a\(c00\) | Affected |
Frequently Asked Questions
What is CVE-2017-17225?
CVE-2017-17225 is a high-severity vulnerability affecting huawei mate_9_pro_firmware. It was published on March 9, 2018 and has a CVSS 3.0 base score of 8.8 (HIGH).
How severe is CVE-2017-17225?
This vulnerability has a CVSS 3.0 base score of 8.8, rated HIGH. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2017-17225?
Check the references section for vendor advisories and patches from huawei. Update mate_9_pro_firmware to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2017-17225?
CyberStrike's AI-powered security agents can automatically detect CVE-2017-17225 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.
Related HIGH CVEs from 2017
View all →An issue was discovered in St. Jude Medical Merlin@home, versions prior to Version 8.2.2 (RF models:
Unrestricted file upload vulnerability in the fileUnzip->unzip method in Dotclear before 2.10.3 allo
The Parental Control panel in Genexis devices with DRGOS before 1.14.1 allows remote authenticated u
An issue was discovered in EMC ScaleIO versions before 2.0.1.1. A low-privileged local attacker may
eClinicalWorks Population Health (CCMR) suffers from an SQL injection vulnerability in portalUserSer
eClinicalWorks Population Health (CCMR) suffers from a cross-site request forgery (CSRF) vulnerabili
Microsoft Edge allows remote attackers to bypass the Same Origin Policy via vectors involving the ab
Adobe Flash Player versions 24.0.0.186 and earlier have an exploitable memory corruption vulnerabili
Adobe Flash Player versions 24.0.0.186 and earlier have an exploitable memory corruption vulnerabili
Adobe Flash Player versions 24.0.0.186 and earlier have an exploitable heap overflow vulnerability w
Adobe Flash Player versions 24.0.0.186 and earlier have an exploitable memory corruption vulnerabili
Adobe Flash Player versions 24.0.0.186 and earlier have an exploitable memory corruption vulnerabili