Thursday, November 30, 2023

LogShield: A New Framework that Detects the APT Attack Patterns

There have been several cases of GPT model-based detection for various attacks from system logs.

However, there has been no dedicated framework for detecting APTs as they use a low and slow approach to compromise the systems.

Security researchers have recently unveiled a cutting-edge framework known as LogShield. This innovative tool leverages the self-attention capabilities of transformers to identify attack patterns associated with Advanced Persistent Threats (APTs).

By analyzing network logs, LogShield can detect subtle indicators of APTs that may have otherwise gone unnoticed, providing a powerful defense against these sophisticated attacks.

According to the researchers, the efficiency of this framework has been reported to be 95% and 98%.


The main purpose of using language models for detecting malicious events is because they have been designed to process large sequences of words or log data, which is useful when processing records of events on a cyber attack.

Protect Your Storage With SafeGuard

Is Your Storage & Backup Systems Fully Protected? – Watch 40-second Tour of SafeGuard

StorageGuard scans, detects, and fixes security misconfigurations and vulnerabilities across hundreds of storage and backup devices.

Additionally, the self-attention mechanism of GPT models can assign different weights to different events based on their relativity to the APTs and can be adjusted concerning the event’s importance.

APT detection
APT detection LogShield

Machine learning techniques have been used to detect attack patterns instead of rule-based or signature-based attack detection methods, which have relatively low performance when detecting Zero-Day APTs.

Moreover, several deep learning-based methods have been explored to detect APT attacks.

Limitations of LogShield

Though LogShield has superior performance, there is a limitation to this framework. As it has high performance, it also comes with an increased memory consumption and longer computational time. As part of the research, LogShield and LSTM models have been used. 

However, after many experiments, efficiency was achieved with a 98% F1-score in APT detection.

A report about LogShield has been published, providing detailed information about the training models using their statistical data and other information.

Patch Manager Plus, the one-stop solution for automated updates of over 850 third-party applications: Try Free Trial.


Latest articles

Hackers Using Weaponized Invoice to Deliver LUMMA Malware

Hackers use weaponized invoices to exploit trust in financial transactions, embedding malware or malicious...

US-Seized Crypto Currency Mixer Used by North Korean Lazarus Hackers

The U.S. Treasury Department sanctioned the famous cryptocurrency mixer Sinbad after it was claimed...

CISA Warns Hackers Exploiting Wastewater Systems Logic Controllers

In a disconcerting turn of events, cyber threat actors have set their sights on...

Zyxel Command Injection Flaws Let Attackers Run OS Commands

Three Command injection vulnerabilities have been discovered in Zyxel NAS (Network Attached Storage) products,...

North Korean Hackers Attacking macOS Using Weaponized Documents

Hackers often use weaponized documents to exploit vulnerabilities in software, which enables the execution...

Most Popular Websites Still Allow Users To Have Weak Passwords

The latest analysis shows that tens of millions of people are creating weak passwords...

Chrome Zero-Day Vulnerability That Exploited In The Wild

Google has fixed the sixth Chrome zero-day bug that was exploited in the wild this...
Eswar is a Cyber security content editor with a passion for creating captivating and informative content. With years of experience under his belt in Cyber Security, he is covering Cyber Security News, technology and other news.

API Attack Simulation Webinar

Live API Attack Simulation

In the upcoming webinar, Karthik Krishnamoorthy, CTO and Vivek Gopalan, VP of Products at Indusface demonstrate how APIs could be hacked.The session will cover:an exploit of OWASP API Top 10 vulnerability, a brute force account take-over (ATO) attack on API, a DDoS attack on an API, how a WAAP could bolster security over an API gateway

Related Articles