Security Affairs 2024年05月22日
CISA adds NextGen Healthcare Mirth Connect flaw to its Known Exploited Vulnerabilities catalog
index_new5.html
../../../zaker_core/zaker_tpl_static/wap/tpl_guoji1.html

 

CISA adds NextGen Healthcare Mirth Connect deserialization of untrusted data vulnerability to its Known Exploited Vulnerabilities catalog.

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) added a NextGen Healthcare Mirth Connect vulnerability to its Known Exploited Vulnerabilities (KEV) catalog.

The issue, tracked as CVE-2023-43208, is a Deserialization of Untrusted Data Vulnerability.

Deserialization of untrusted data vulnerability is a security flaw that occurs when an application deserializes data from an untrusted source without properly validating or sanitizing it. Deserialization is the process of converting serialized data (data formatted for storage or transmission) back into an object or data structure that a program can use.

The flaw impacts NextGen Healthcare Mirth Connect before version 4.4.1, an unauthenticated remote attacker can trigger the issue to achieve code execution.

US CISA also addressed recently disclosed Google Chromium V8 Type Confusion Vulnerability (CVE-2024-4947).

The vulnerability CVE-2024-4947 is a type confusion that resides in V8 JavaScript engine. The vulnerability was reported by Vasily Berdnikov (@vaber_b) and Boris Larin (@oct0xor) of Kaspersky on May 13, 2024.

“Google is aware that an exploit for CVE-2024-4947 exists in the wild,” reads the advisory published by Google.

According to Binding Operational Directive (BOD) 22-01: Reducing the Significant Risk of Known Exploited Vulnerabilities, FCEB agencies have to address the identified vulnerabilities by the due date to protect their networks against attacks exploiting the flaws in the catalog.

Experts recommend also private organizations review the Catalog and address the vulnerabilities in their infrastructure.

CISA orders federal agencies to fix these vulnerabilities by June 10, 2024.

Pierluigi Paganini

Follow me on Twitter: @securityaffairs and Facebook and Mastodon

(SecurityAffairs – hacking, CISA)

Fish AI Reader

Fish AI Reader

AI辅助创作,多种专业模板,深度分析,高质量内容生成。从观点提取到深度思考,FishAI为您提供全方位的创作支持。新版本引入自定义参数,让您的创作更加个性化和精准。

FishAI

FishAI

鱼阅,AI 时代的下一个智能信息助手,助你摆脱信息焦虑

联系邮箱 441953276@qq.com

相关标签

相关文章