Resolutions, shmesolutions (and what’s actually worked for me)

Welcome to this week's edition of the Threat Source newsletter. I went to bed at 8:30 p.m. on New Year's Eve, and I think that's pretty indicative of how I approach the whole idea of New Year's resolutions. I love to count down to the new year with loved ones as much as the next person, but I hav...

CurricuLLM: Designing Personalized and Workforce-Aligned Cybersecurity Curricula Using Fine-Tuned LLMs

The cybersecurity landscape is constantly evolving, driven by increased digitalization and new cybersecurity threats. Cybersecurity programs often fail to equip graduates with skills demanded by the workforce, particularly concerning recent developments in cybersecurity, as curriculum design is...

CVE-2019-12752

The Symantec SONAR component, prior to 12.0.2, may be susceptible to a tamper protection bypass vulnerability which could potentially allow an attacker to circumvent the existing tamper protection in use on the resident system...

CVE-2025-27151 vulnerabilities

Vulnerabilities for packages: redis...

A Survey of Agentic AI and Cybersecurity: Challenges, Opportunities and Use-Case Prototypes

Agentic AI marks an important transition from single-step generative models to systems capable of reasoning, planning, acting, and adapting over long-lasting tasks. By integrating memory, tool use, and iterative decision cycles, these systems enable continuous, autonomous workflows in real-world...

The State of Cybersecurity in 2025: Key Segments, Insights, and Innovations 

Featuring: Cybersecurity is being reshaped by forces that extend beyond individual threats or tools. As organizations operate across cloud infrastructure, distributed endpoints, and complex supply chains, security has shifted from a collection of point solutions to a question of architecture,...

Quantum AI for Cybersecurity: A Hybrid Quantum-Classical Models for Attack Path Analysis

Modern cyberattacks are increasingly complex, posing significant challenges to classical machine learning methods, particularly when labeled data is limited and feature interactions are highly non-linear. In this study we investigates the potential of hybrid quantum-classical learning to enhance...

Threat Detection in Social Media Networks Using Machine Learning Based Network Analysis

The accelerated development of social media websites has posed intricate security issues in cyberspace, where these sites have increasingly become victims of criminal activities including attempts to intrude into them, abnormal traffic patterns, and organized attacks. The conventional rule-based...

ShinyHunters Claim Breach of US Cybersecurity Firm Resecurity (Updated)

Editor’s Note Updated: This article has been edited to reflect clarifications provided by Resecurity, including the company’s December…...

SQLi_AI_defence

SQLiAIdefence A small model ba...

Bug-Bounty-and-Learning-Space

Bug Bounty & Learning Space A markdown backup of my personal...

Exploring the Integration of Differential Privacy in Cybersecurity Analytics: Balancing Data Utility and Privacy in Threat Intelligence

To resolve the acute problem of privacy protection and guarantee that data can be used in the context of threat intelligence, this paper considers the implementation of Differential Privacy DP in cybersecurity analytics. DP, which is a sound mathematical framework, ensures privacy by adding a...

Exploit for Deserialization of Untrusted Data in Facebook React

🎨 react2shellexploitvisualized - Visualize Vulnerabilities wit...

2 US Cybersecurity Experts Guilty of Extortion Scheme for ALPHV Ransomware

Can you trust your cybersecurity team? A recent federal case reveals how two US-based cybersecurity experts turned into affiliates for the BlackCat ransomware group, extorting over $1.2M in Bitcoin. Read the full story on their 2023 crime spree...

Towards Eco Friendly Cybersecurity: Machine Learning Based Anomaly Detection with Carbon and Energy Metrics

The rising energy footprint of artificial intelligence has become a measurable component of US data center emissions, yet cybersecurity research seldom considers its environmental cost. This study introduces an eco aware anomaly detection framework that unifies machine learning based network...

WHILL Model C2 Electric Wheelchairs and Model F Power Chairs (Update B)

RISK EVALUATION Successful exploitation of this vulnerability could allow an attacker within Bluetooth range to take control over the product. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability, such as: Minimize...

PT-2025-54218

Name of the Vulnerable Software and Affected Versions FortiOS affected versions not specified Description A flaw in FortiOS allows bypassing of multi-factor authentication MFA through manipulation of username case. This issue is currently being exploited. The exploitation involves tricking the...

The Worst Hacks of 2025

From university breaches to cyberattacks that shut down whole supply chains, these were the worst cybersecurity incidents of the year...

Research Directions in Quantum Computer Cybersecurity

This document presents a concise overview of the contemporary research directions in quantum computer cybersecurity. The aim of this document is not to be a survey, but rather a succinct summary of the major research directions in quantum computer cybersecurity at the end of the first half of the...

Attacks are Evolving: 3 Ways to Protect Your Business in 2026

Every year, cybercriminals find new ways to steal money and data from businesses. Breaching a business network, extracting sensitive data, and selling it on the dark web has become a reliable payday. But in 2025, the data breaches that affected small and medium-sized businesses SMBs challenged ou...