SUSE CVE-2024-55629

Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine. Prior to 7.0.8, TCP streams with TCP urgent data out of band data can lead to Suricata analyzing data differently than the applications at the TCP endpoints, leading to possible...

Exploit for Incorrect Default Permissions in Microsoft

This List is no longer updated. Awesome Red Teaming List of Awesome Red Team / Red Teaming Resources This list is for anyone wishing to learn about Red Teaming but do not have a starting point. Anyway, this is a living resources and will update regularly with latest Adversarial Tactics and...

U.S. Sanctions Firm Behind N. Korean IT Scheme; Arizona Woman Jailed for Running Laptop Farm

The U.S. Department of the Treasury's Office of Foreign Assets Control OFAC sanctioned a North Korean front company and three associated individuals for their involvement in the fraudulent remote information technology IT worker scheme designed to generate illicit revenues for Pyongyang. The...

From Cracks to Crooks: YouTube As a Vector for Malware Distribution

With billions of users and an immense volume of daily uploads, YouTube has become an attractive target for cybercriminals aiming to leverage its vast audience. The platform's openness and trustworthiness provide an ideal environment for deceptive campaigns that can operate under the radar of...

SquidLoader Malware Campaign Hits Hong Kong Financial Firms

Trellix exposes SquidLoader malware targeting Hong Kong, Singapore, and Australia's financial service institutions. Learn about its advanced evasion tactics and stealthy attacks...

GhostContainer backdoor: malware compromising Exchange servers of high-value organizations in Asia

In a recent incident response IR case, we discovered highly customized malware targeting Exchange infrastructure within government environments. Analysis of detection logs and clues within the sample suggests that the Exchange server was likely compromised via a known N-day vulnerability. Our...

New Konfety Malware Variant Evades Detection by Manipulating APKs and Dynamic Code

Cybersecurity researchers have discovered a new, sophisticated variant of a known Android malware referred to as Konfety that leverages the evil twin technique to enable ad fraud. The sneaky approach essentially involves a scenario wherein two variants of an application share the same package nam...

Scattered Spider: Rapid7 Insights, Observations, and Recommendations

Overview of Scattered Spider and recent activity Scattered Spider also tracked as UNC3944, Scatter Swine, Muddled Libra, among other aliases is a financially motivated cybercriminal group active since at least May 2022. The group is notorious for targeting large enterprises — especially...

LLMalMorph: on the Feasibility of Generating Variant Malware Using Large-Language-Models

Large Language Models LLMs have transformed software development and automated code generation. Motivated by these advancements, this paper explores the feasibility of LLMs in modifying malware source code to generate variants. We introduce LLMalMorph, a semi-automated framework that leverages...

Favicon Trojans: Executable Steganography Via Ico Alpha Channel Exploitation

This paper presents a novel method of executable steganography using the alpha transparency layer of ICO image files to embed and deliver self-decompressing JavaScript payloads within web browsers. By targeting the least significant bit LSB of non-transparent alpha layer image values, the propose...

DATABench: Evaluating Dataset Auditing in Deep Learning from an Adversarial Perspective

The widespread application of Deep Learning across diverse domains hinges critically on the quality and composition of training datasets. However, the common lack of disclosure regarding their usage raises significant privacy and copyright concerns. Dataset auditing techniques, which aim to...

False Alarms, Real Damage: Adversarial Attacks Using LLM-Based Models on Text-Based Cyber Threat Intelligence Systems

Cyber Threat Intelligence CTI has emerged as a vital complementary approach that operates in the early phases of the cyber threat lifecycle. CTI involves collecting, processing, and analyzing threat data to provide a more accurate and rapid understanding of cyber threats. Due to the large volume ...

Microsoft, PayPal, DocuSign, and Geek Squad faked in callback phishing scams

Microsoft, DocuSign, Adobe, McAfee, NortonLifeLock, PayPal, and Best Buy’s Geek Squad are being impersonated online through malicious emails that contain fake telephone support numbers and dangerous QR codes that can ensnare victims into phishing scams. The brands and their products are frequentl...

OneClik: A ClickOnce-Based APT Campaign Targeting Energy, Oil and Gas Infrastructure

OneClik: A ClickOnce-Based Red Team Campaign Simulating APT Tactics in Energy Infrastructure By Nico Paulo Yturriaga and Pham Duy Phuc · Updated : June 30, 2025 The Trellix Advanced Research Center previously uncovered what appeared to be a sophisticated APT malware campaign, which we dubbed...

New Stealthy Remcos Malware Campaigns Target Businesses and Schools

Forcepoint's X-Labs reveals Remcos malware using new tricky phishing emails from compromised accounts and advanced evasion techniques like…...

OneClik: A ClickOnce-Based APT Campaign Targeting Energy, Oil and Gas Infrastructure

OneClik: A ClickOnce-Based APT Campaign Targeting Energy, Oil and Gas Infrastructure By Nico Paulo Yturriaga and Pham Duy Phuc · June 24, 2025 The Trellix Advanced Research Center has uncovered a sophisticated APT malware campaign that we’ve dubbed OneClik. It specifically targets the energy, oil...

Enhancing Security in LLM Applications: a Performance Evaluation of Early Detection Systems

Prompt injection threatens novel applications that emerge from adapting LLMs for various user tasks. The newly developed LLM-based software applications become more ubiquitous and diverse. However, the threat of prompt injection attacks undermines the security of these systems as the mitigation a...

InfoFlood: Jailbreaking Large Language Models with Information Overload

Large Language Models LLMs have demonstrated remarkable capabilities across various domains. However, their potential to generate harmful responses has raised significant societal and regulatory concerns, especially when manipulated by adversarial techniques known as "jailbreak" attacks. Existing...

Assessing the Resilience of Automotive Intrusion Detection Systems to Adversarial Manipulation

The security of modern vehicles has become increasingly important, with the controller area network CAN bus serving as a critical communication backbone for various Electronic Control Units ECUs. The absence of robust security measures in CAN, coupled with the increasing connectivity of vehicles,...

GenBreak: Red Teaming Text-To-Image Generators Using Large Language Models

Text-to-image T2I models such as Stable Diffusion have advanced rapidly and are now widely used in content creation. However, these models can be misused to generate harmful content, including nudity or violence, posing significant safety risks. While most platforms employ content moderation...