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CVE-2024-48270

7.5 · HIGH
Published Nov 1, 2024 misstt123 EPSS 0.53% (43th pctl)

Overview

CVE-2024-48270 is a high-severity vulnerability affecting misstt123 oasys. It was published on November 1, 2024 and has a CVSS 3.1 base score of 7.5 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

An issue in the component /logins of oasys v1.1 allows attackers to access sensitive information via a burst attack.

Remediation

Check the references section for vendor advisories and patches from misstt123. Update oasys 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

Frequently Asked Questions

What is CVE-2024-48270?

CVE-2024-48270 is a high-severity vulnerability affecting misstt123 oasys. It was published on November 1, 2024 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2024-48270?

This vulnerability has a CVSS 3.1 base score of 7.5, 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-2024-48270?

Check the references section for vendor advisories and patches from misstt123. Update oasys 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-2024-48270?

CyberStrike's AI-powered security agents can automatically detect CVE-2024-48270 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.