The Growing Threat of Vishing: How Cybercriminals Are Using Multimedia to Target You

The Growing Threat of Vishing: How Cybercriminals Are Using Multimedia to Target You By Mark Joseph Marti and Sandra Pagkaliwagan · May 8, 2025 Introduction Imagine being hacked through a phone call, and you can't even complain because you were the one who provided your sensitive information or...

Unsophisticated Cyber Actor(s) Targeting Operational Technology

CISA is increasingly aware of unsophisticated cyber actors targeting ICS/SCADA systems within U.S. critical Infrastructure sectors Oil and Natural Gas, specifically in Energy and Transportation Systems. Although these activities often include basic and elementary intrusion techniques, the presenc...

LLMs' Suitability for Network Security: a Case Study of STRIDE Threat Modeling

Artificial Intelligence AI is expected to be an integral part of next-generation AI-native 6G networks. With the prevalence of AI, researchers have identified numerous use cases of AI in network security. However, there are almost nonexistent studies that analyze the suitability of Large Language...

Towards Effective Identification of Attack Techniques in Cyber Threat Intelligence Reports Using Large Language Models

This work evaluates the performance of Cyber Threat Intelligence CTI extraction methods in identifying attack techniques from threat reports available on the web using the MITRE ATT&CK framework. We analyse four configurations utilising state-of-the-art tools, including the Threat Report ATT&CK...

NCSC Guidance on “Advanced Cryptography”

The UK's National Cyber Security Centre just released its white paper on "Advanced Cryptography," which it defines as "cryptographic techniques for processing encrypted data, providing enhanced functionality over and above that provided by traditional cryptography." It includes things like...

New Reports Uncover Jailbreaks, Unsafe Code, and Data Theft Risks in Leading AI Systems

Various generative artificial intelligence GenAI services have been found vulnerable to two types of jailbreak attacks that make it possible to produce illicit or dangerous content. The first of the two techniques, codenamed Inception, instructs an AI tool to imagine a fictitious scenario, which...

Building Trust in Healthcare with Privacy Techniques: Blockchain in the Cloud

This study introduces a cutting-edge architecture developed for the NewbornTime project, which uses advanced AI to analyze video data at birth and during newborn resuscitation, with the aim of improving newborn care. The proposed architecture addresses the crucial issues of patient consent, data...

SoK: a Survey of Mixing Techniques and Mixers for Cryptocurrencies

Blockchain technologies have overturned the digital finance industry by introducing a decentralized pseudonymous means of monetary transfer. The pseudonymous nature introduced privacy concerns, enabling various deanonymization techniques, which in turn spurred development of stronger...

CVE-2025-25046

IBM InfoSphere Information Server 11.7 DataStage Flow Designer transmits sensitive information via URL or query parameters that could be exposed to an unauthorized actor using man in the middle techniques...

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection

Various deep learning DL methods have recently been utilized to detect software vulnerabilities. Real-world software vulnerability datasets are rare and hard to acquire, as there is no simple metric for classifying vulnerability. Such datasets are heavily imbalanced, and none of the current...

CVE-2025-25046

IBM InfoSphere Information Server 11.7 DataStage Flow Designer transmits sensitive information via URL or query parameters that could be exposed to an unauthorized actor using man in the middle techniques...

Three Reasons Why the Browser is Best for Stopping Phishing Attacks

Phishing attacks remain a huge challenge for organizations in 2025. In fact, with attackers increasingly leveraging identity-based techniques over software exploits, phishing arguably poses a bigger threat than ever before. --- Attackers are increasingly leveraging identity-based techniques over...

Unallocated space analysis

TL;DR Unallocated space retains remnants of deleted files, metadata, logs, caches, and other artefacts. This is useful if a user attempts to cover their tracks, delete files, reformat drives, or use anti-forensic tools. These remnants can help reconstruct user actions exposing data exfiltration...

Year in Review: Attacks on identity and MFA

For our third focussed topic for Talos' 2024 Year in Review, we tell the story of how identity has become the pivot point for adversarial campaigns. The main themes of this story are credential abuse, Active Directory attacks, and MFA workarounds. Valid account usage was the 1 way attackers got i...

The AI-Powered Reboot: Rethinking Defense for Web Apps and APIs

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On the Consistency of GNN Explanations for Malware Detection

Control Flow Graphs CFGs are critical for analyzing program execution and characterizing malware behavior. With the growing adoption of Graph Neural Networks GNNs, CFG-based representations have proven highly effective for malware detection. This study proposes a novel framework that dynamically...

A Deep Dive into the Latest Version of Lumma InfoStealer

Unmasking the Evolving Threat: A Deep Dive into the Latest Version of Lumma InfoStealer with Code Flow Obfuscation By Mohideen Abdul Khader · April 21, 2025 Summary Lumma Stealer, first identified in 2022, remains a significant threat to this day, continuously evolving its tactics, techniques, an...

InjectLab: a Tactical Framework for Adversarial Threat Modeling against Large Language Models

Large Language Models LLMs are changing the way people interact with technology. Tools like ChatGPT and Claude AI are now common in business, research, and everyday life. But with that growth comes new risks, especially prompt-based attacks that exploit how these models process language. InjectLa...

Year in Review: The biggest trends in ransomware

This week, our Year in Review spotlight is on ransomware --where low-profile tactics led to high-impact consequences. Ransomware operators often prioritized stealth over complexity for initial access. They also focused on slipping past defenses with minimal noise--uninstalling security tools,...

Investigating Cybersecurity Incidents Using Large Language Models in Latest-Generation Wireless Networks

The purpose of research: Detection of cybersecurity incidents and analysis of decision support and assessment of the effectiveness of measures to counter information security threats based on modern generative models. The methods of research: Emulation of signal propagation data in MIMO systems,...