CVE-2018-3722
8.8 · HIGHOverview
CVE-2018-3722 is a high-severity vulnerability affecting merge-deep_project merge-deep. It was published on June 7, 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 can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
merge-deep node module before 3.0.1 suffers from a Modification of Assumed-Immutable Data (MAID) vulnerability, which allows a malicious user to modify the prototype of "Object" via __proto__, causing the addition or modification of an existing property that will exist on all objects.
Remediation
Check the references section for vendor advisories and patches from merge-deep_project. Update merge-deep 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 |
|---|---|---|---|
| merge-deep_project | merge-deep | >= 0, < 3.0.1 | Affected |
Frequently Asked Questions
What is CVE-2018-3722?
CVE-2018-3722 is a high-severity vulnerability affecting merge-deep_project merge-deep. It was published on June 7, 2018 and has a CVSS 3.0 base score of 8.8 (HIGH).
How severe is CVE-2018-3722?
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-2018-3722?
Check the references section for vendor advisories and patches from merge-deep_project. Update merge-deep 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-2018-3722?
CyberStrike's AI-powered security agents can automatically detect CVE-2018-3722 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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