From Complexity to Clarity: The Blueprint for Scalable Workflow Automation

Cloud-native applications offer scalable, automated workflows, intelligent data processing, and seamless deployments. However, many organizations still struggle to…...

DEBIAN-CVE-2025-44021

OpenStack Ironic before 29.0.1 can write unintended files to a target node disk during image handling if a deployment was performed via the API. A malicious project assigned as a node owner can provide a path to any local file readable by ironic-conductor, which may then be written to the target...

Start the cron Daemon Properly

The cron daemon is used to execute batch processing jobs on the system. Even if the OS does not have user jobs that need to be run, some system jobs need to be run, including important jobs such as security monitoring. The cron daemon is used to execute these jobs. If the cron daemon is not start...

net: atm: fix use after free in lec_send()

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Targeted Fuzzing for Unsafe Rust Code: Leveraging Selective Instrumentation

Rust is a promising programming language that focuses on concurrency, usability, and security. It is used in production code by major industry players and got recommended by government bodies. Rust provides strong security guarantees achieved by design utilizing the concepts of ownership and...

Federal Data, Meet your New Bodyguard: DSPM joins Wiz for Government

Wiz is excited to bring Data Security Posture Management DSPM into our FedRAMP authorized offering. DSPM enables organizations requiring FedRAMP to automate classification, policy enforcement, and continuous monitoring for their sensitive cloud data...

Good News for Script Kiddies? Evaluating Large Language Models for Automated Exploit Generation

Large Language Models LLMs have demonstrated remarkable capabilities in code-related tasks, raising concerns about their potential for automated exploit generation AEG. This paper presents the first systematic study on LLMs' effectiveness in AEG, evaluating both their cooperativeness and technica...

Poster: Machine Learning for Vulnerability Detection As Target Oracle in Automated Fuzz Driver Generation

In vulnerability detection, machine learning has been used as an effective static analysis technique, although it suffers from a significant rate of false positives. Contextually, in vulnerability discovery, fuzzing has been used as an effective dynamic analysis technique, although it requires...

From Texts to Shields: Convergence of Large Language Models and Cybersecurity

This report explores the convergence of large language models LLMs and cybersecurity, synthesizing interdisciplinary insights from network security, artificial intelligence, formal methods, and human-centered design. It examines emerging applications of LLMs in software and network security, 5G...

From Exposure to Assurance: Unified Remediation Across the Security Lifecycle

When it comes to defending your organization, every second counts. The time to detect, respond, and remediate is critical, but speed alone isn't enough. Fragmentation across security tools, siloed teams, and manual workflows leaves organizations constantly reactive, overwhelmed by alerts, and at...

Frogy2.0 - An Automated External Reconnaissance And Attack Surface Management (ASM) Toolkit

Frogy 2.0 is an automated external reconnaissance and Attack Surface Management ASM toolkit designed to map out an organization's entire internet presence. It identifies assets, IP addresses, web applications, and other metadata across the public internet and then smartly prioritizes them with...

Shrinking Lifespans, Growing Risk: The Final Certificate Countdown

Recent Developments Severely Shorten Certificate Lifespans. The SSL/TLS ecosystem is shifting rapidly and not in a way that favors already stretched teams. Historically, certificates could be valid for up to 10 years. Certificates now face drastically shorter lifespans. DigiCert and other major...

AI-Based Vulnerability Analysis of NFT Smart Contracts

With the rapid growth of the NFT market, the security of smart contracts has become crucial. However, existing AI-based detection models for NFT contract vulnerabilities remain limited due to their complexity, while traditional manual methods are time-consuming and costly. This study proposes an...

The Future of SSL Certificate Management: Adapting to Shortened Renewal Periods

The industry is evolving yet again. With the CA/Browser Forum's recent decision to reduce the maximum SSL/TLS certificate lifecycle to 47 days by 2029, the way organizations manage their certificates is going to change significantly—and sooner than most realize. This update builds on the trend of...

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...

The Efficiency Imperative: How Federal Agencies Can Streamline Cybersecurity Operations

With increasing scrutiny on government spending, federal agencies face mounting pressure to optimize IT budgets while fortifying cybersecurity defenses. However, the unchecked proliferation of security tools has led to inefficiencies, reduced visibility, and increasing total cost of ownership. A...

2025 Imperva Bad Bot Report: How AI is Supercharging the Bot Threat

Bad bots continue to target organizations across every industry and geography, but the rise of Artificial Intelligence AI is fueling bot attacks, making them more intelligent and more evasive than ever before. For over twelve years, Imperva has been dedicated to helping organizations manage and...

Cybersecurity in the AI Era: Evolve Faster Than the Threats or Get Left Behind

AI is changing cybersecurity faster than many defenders realize. Attackers are already using AI to automate reconnaissance, generate sophisticated phishing lures, and exploit vulnerabilities before security teams can react. Meanwhile, defenders are overwhelmed by massive amounts of data and alert...

Exploit for CVE-2025-3102

Vanda CVE-2025-3102 💣 Exploit com interface gráfica para a vuln...

CVE-2025-32036 DNN allows the possibility of bypassing Captcha

DNN formerly DotNetNuke is an open-source web content management platform CMS in the Microsoft ecosystem. The algorithm used to generate the captcha image shows the least complexity of the desired image. For this reason, the created image can be easily read by OCR tools, and the intruder can send...