WordPress Geolocation IP Detection plugin <= 5.5.0 - Cross Site Scripting (XSS) vulnerability

Cross Site Scripting XSS vulnerability discovered by zaim in WordPress Plugin Geolocation IP Detection versions = 5.5.0...

CVE-2025-57993

Technical details (affected version range, root cause, impacts, fixes) are not provided in the supplied documents. Monitor for updates from official advisories.

CVE-2025-57993 WordPress Geolocation IP Detection plugin <= 5.5.0 - Cross Site Scripting (XSS) vulnerability

Improper Neutralization of Input During Web Page Generation 'Cross-site Scripting' vulnerability in Benjamin Pick Geolocation IP Detection geoip-detect allows Stored XSS.This issue affects Geolocation IP Detection: from n/a through = 5.5.0...

CVE-2025-57993 WordPress Geolocation IP Detection plugin <= 5.5.0 - Cross Site Scripting (XSS) vulnerability

Improper Neutralization of Input During Web Page Generation 'Cross-site Scripting' vulnerability in Benjamin Pick Geolocation IP Detection geoip-detect allows Stored XSS.This issue affects Geolocation IP Detection: from n/a through = 5.5.0...

IMDS Abused: Hunting Rare Behaviors to Uncover Exploits

When common processes start asking the wrong questions...

Akamai Is the 2025 Customers' Choice in Online Fraud Detection

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RedTeam-Tactics-and-Techniques

It is an offensive tool for Windows. The repository contains a script that appears to be a Windows shell extension, likely used for red teaming or penetration testing. The script is written in a format compatible with the Windows Taskbar and Shell. The script is designed to toggle the desktop,...

Dell PowerScale OneFS OS Detection

Binary data dellpowerscaleonefsdetect.nbin...

State-Of-The-Art in Software Security Visualization: a Systematic Review

Software security visualization is an interdisciplinary field that combines the technical complexity of cybersecurity, including threat intelligence and compliance monitoring, with visual analytics, transforming complex security data into easily digestible visual formats. As software systems get...

ProFTPD Detection Consolidation

Consolidation of ProFTPD detections. SPDX-FileCopyrightText: 2025 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only if description scriptoid"1.3.6.1.4.1.25623.1.0.155379";...

WordPress plugin Geolocation IP Detection 跨站脚本漏洞

WordPress and WordPress plugin are both products of the WordPress Foundation.WordPress is a blogging platform developed using the PHP language. The platform has the ability to host personal blog sites on PHP and MySQL based servers.WordPress plugin is an application plugin. A cross-site scripting...

Dell PowerScale Hardware Detection

Binary data dellpowerscaledevicedetect.nbin...

PT-2025-38843

Name of the Vulnerable Software and Affected Versions Benjamin Pick Geolocation IP Detection versions through 5.5.0 Description The software contains a flaw due to improper neutralization of input during web page generation, leading to a Cross-site Scripting XSS issue. This specific instance allo...

FakeSound2: a Benchmark for Explainable and Generalizable Deepfake Sound Detection

The rapid development of generative audio raises ethical and security concerns stemming from forged data, making deepfake sound detection an important safeguard against the malicious use of such technologies. Although prior studies have explored this task, existing methods largely focus on binary...

Linux Distros Unpatched Vulnerability : CVE-2023-53365

"The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - ip6mr: Fix skbunderpanic in ip6mrcachereport skbuff: skbunderpanic: text:ffffffff88771f69 len:56 put:-4 head:ffff88805f86a800 data:ffff887f5f86a850 tail:0x88...

Self-Supervised Learning of Graph Representations for Network Intrusion Detection

Detecting intrusions in network traffic is a challenging task, particularly under limited supervision and constantly evolving attack patterns. While recent works have leveraged graph neural networks for network intrusion detection, they often decouple representation learning from anomaly detectio...

Evaluating LLM Generated Detection Rules in Cybersecurity

LLMs are increasingly pervasive in the security environment, with limited measures of their effectiveness, which limits trust and usefulness to security practitioners. Here, we present an open-source evaluation framework and benchmark metrics for evaluating LLM-generated cybersecurity rules. The...

"Digital Camouflage": the LLVM Challenge in LLM-Based Malware Detection

Large Language Models LLMs have emerged as promising tools for malware detection by analyzing code semantics, identifying vulnerabilities, and adapting to evolving threats. However, their reliability under adversarial compiler-level obfuscation is yet to be discovered. In this study, we empirical...

How Far Are We? an Empirical Analysis of Current Vulnerability Localization Approaches

Open-source software vulnerability patch detection is a critical component for maintaining software security and ensuring software supply chain integrity. Traditional manual detection methods face significant scalability challenges when processing large volumes of commit histories, while being...

ConCap: Practical Network Traffic Generation for Flow-Based Intrusion Detection Systems

Network Intrusion Detection Systems NIDS have been studied in research for almost four decades. Yet, despite thousands of papers claiming scientific advances, a non-negligible number of recent works suggest that the findings of prior literature may be questionable. At the root of such a...