CVE-2017-3217
8.1 · HIGHOverview
CVE-2017-3217 is a high-severity vulnerability affecting calamp lmu_3030_obd-ii_firmware. It was published on July 24, 2018 and has a CVSS 3.0 base score of 8.1 (HIGH).
This vulnerability has a CVSS 3.0 base score of 8.1, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
CalAmp LMU 3030 series OBD-II CDMA and GSM devices has an SMS (text message) interface that can be deployed where no password is configured for this interface by the integrator / reseller. This interface must be password protected, otherwise, the attacker only needs to know the phone number of the device (via an IMSI Catcher, for example) to send administrative commands to the device. These commands can be used to provide ongoing, real-time access to the device and can configure parameters such as IP addresses, firewall rules, and passwords.
Remediation
Check the references section for vendor advisories and patches from calamp. Update lmu_3030_obd-ii_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 |
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Frequently Asked Questions
What is CVE-2017-3217?
CVE-2017-3217 is a high-severity vulnerability affecting calamp lmu_3030_obd-ii_firmware. It was published on July 24, 2018 and has a CVSS 3.0 base score of 8.1 (HIGH).
How severe is CVE-2017-3217?
This vulnerability has a CVSS 3.0 base score of 8.1, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2017-3217?
Check the references section for vendor advisories and patches from calamp. Update lmu_3030_obd-ii_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-2017-3217?
CyberStrike's AI-powered security agents can automatically detect CVE-2017-3217 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.
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