CVE-2017-9377
8.8 · HIGHOverview
CVE-2017-9377 is a high-severity vulnerability affecting barco clickshare_csm-1_firmware. It was published on October 30, 2017 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 can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
A command injection was identified on Barco ClickShare Base Unit devices with CSM-1 firmware before 1.7.0.3 and CSC-1 firmware before 1.10.0.10. An attacker with access to the product's web API can exploit this vulnerability to completely compromise the vulnerable device.
Remediation
Check the references section for vendor advisories and patches from barco. Update clickshare_csm-1_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 |
|---|---|---|---|
| barco | clickshare_csm-1_firmware | >= 0, < 1.7.0.3 | Affected |
| barco | clickshare_csc-1_firmware | >= 0, < 1.10.0.10 | Affected |
References
Frequently Asked Questions
What is CVE-2017-9377?
CVE-2017-9377 is a high-severity vulnerability affecting barco clickshare_csm-1_firmware. It was published on October 30, 2017 and has a CVSS 3.0 base score of 8.8 (HIGH).
How severe is CVE-2017-9377?
This vulnerability has a CVSS 3.0 base score of 8.8, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2017-9377?
Check the references section for vendor advisories and patches from barco. Update clickshare_csm-1_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-2017-9377?
CyberStrike's AI-powered security agents can automatically detect CVE-2017-9377 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