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VulnerabilitycriticalExploited in the wild

Vulnerability landscape analysis for Q4 2024

Kaspersky Securelistby @Securelist ()8 min read2 · 1 read
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Vulnerabilities mentioned

All
CVEVulnerabilityCVSSEPSSSignalsPublished
CVE-2017-0199
Remote Code Execution in Microsoft Office and WordPad via crafted document files
7.899%KEVRansomwarePoC ×6
KEV
CVE-2017-11882
Memory Corruption RCE in Microsoft Office via Legacy Equation Editor
7.8100%KEVRansomwarePoC ×10
KEV
CVE-2018-0802
Memory Corruption RCE in Microsoft Office Equation Editor
7.893%KEVRansomwarePoC ×3
KEV
CVE-2022-0847
Local Privilege Escalation ('Dirty Pipe') in the Linux Kernel
7.893%KEVPoC ×4
KEV
CVE-2022-34918
An issue was discovered in the Linux kernel through 5.18.9
7.85%PoC ×4
CVE-2023-38831
Code Execution in RARLAB WinRAR via Crafted ZIP File/Folder Name Confusion
7.8100%KEVRansomwarePoC ×4
KEV
CVE-2024-0582
A memory leak flaw was found in the Linux kernel’s io_uring functionality in how a user registers a buffer ring with IORING_REGISTER_PBUF_RING, mmap() it, and…
7.813%
CVE-2024-1086
Use-After-Free Local Privilege Escalation in Linux Kernel nf_tables
7.828%KEVRansomwarePoC ×4
KEV
CVE-2024-21447
Windows Authentication Elevation of Privilege Vulnerability
7.81%
CVE-2024-28916
Xbox Gaming Services Elevation of Privilege Vulnerability
8.8<1%
CVE-2024-38100
Windows File Explorer Elevation of Privilege Vulnerability
7.85%

From the original article

8 min read at securelist.com

Q4 2024 saw fewer published exploits for Windows and Linux compared to the first three quarters. Although the number of registered vulnerabilities continued to rise, the total number of Proof of Concept (PoC) instances decreased compared to 2023. Among notable techniques in Q4, attackers leveraged undocumented RPC interfaces and targeted the Windows authentication mechanism.

Kaspersky Securelist

By @Securelist · securelist.com

Read the full article at Kaspersky Securelist

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.