CVE-2025-43438

creationtimestamp| type| source ---|---|--- 2025-11-07 21:42:25+00:00| seen| https://bsky.app/profile/getpokemon7.bsky.social/post/3m532bcoifs2k 2025-11-13 05:00:00+00:00| seen| http://www.zerodayinitiative.com/advisories/ZDI-25-1007/...

CVE-2025-36136

CVE-2025-36136 affects IBM Db2 11.5.0–11.5.9 and 12.1.0–12.1.3 for Linux, UNIX, and Windows (including DB2 Connect Server). The vulnerability description states a local user can cause a denial of service because the database monitor script incorrectly detects that the instance is still starting u...

CVE-2025-36136 IBM denial of service

IBM Db2 11.5.0 through 11.5.9, and 12.1.0 through 12.1.3 for Linux, UNIX and Windows includes DB2 Connect Server could allow a local user to cause a denial of service due to the database monitor script incorrectly detecting that the instance is still starting under specific conditions...

Malwarebytes scores 100% in AV-Comparatives Stalkerware Test 2025

The AV-Comparatives Stalkerware Test 2025 delivers a sobering look at the evolving threat posed by stalkerware on mobile devices. Despite measures from both the tech industry and platform providers, stalkerware-type apps, which are apps that can be installed covertly to spy on a victim’s private...

Faking Receipts with AI

Over the past few decades, it's become easier and easier to create fake receipts. Decades ago, it required special paper and printers--I remember a company in the UK advertising its services to people trying to cover up their affairs. Then, receipts became computerized, and faking them required...

BLADE: Behavior-Level Anomaly Detection Using Network Traffic in Web Services

With their widespread popularity, web services have become the main targets of various cyberattacks. Existing traffic anomaly detection approaches focus on flow-level attacks, yet fail to recognize behavior-level attacks, which appear benign in individual flows but reveal malicious purpose using...

A Secured Intent-Based Networking (SIBN) with Data-Driven Time-Aware Intrusion Detection

While Intent-Based Networking IBN promises operational efficiency through autonomous and abstraction-driven network management, a critical unaddressed issue lies in IBN's implicit trust in the integrity of intent ingested by the network. This inherent assumption of data reliability creates a blin...

Pi-hole Ad-Blocker Detection (Linux/Unix SSH Login)

SSH login-based detection of Pi-hole Ad-Blocker. 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 ifdescription...

Bitdefender Named a Representative Vendor in the 2025 Gartner® Market Guide for Managed Detection and Response

Bitdefender has once again been recognized as a Representative Vendor in the Gartner® Market Guide for Managed Detection and Response MDR — marking the fourth consecutive year of inclusion. According to Gartner, more than 600 providers globally claim to deliver MDR services, yet only a select few...

Hackers Weaponize Windows Hyper-V to Hide Linux VM and Evade EDR Detection

The threat actor known as Curly COMrades has been observed exploiting virtualization technologies as a way to bypass security solutions and execute custom malware. According to a new report from Bitdefender, the adversary is said to have enabled the Hyper-V role on selected victim systems to depl...

Trustworthiness Calibration Framework for Phishing Email Detection Using Large Language Models

Phishing emails continue to pose a persistent challenge to online communication, exploiting human trust and evading automated filters through realistic language and adaptive tactics. While large language models LLMs such as GPT-4 and LLaMA-3-8B achieve strong accuracy in text classification, thei...

Adversarially Robust and Interpretable Magecart Malware Detection

Magecart skimming attacks have emerged as a significant threat to client-side security and user trust in online payment systems. This paper addresses the challenge of achieving robust and explainable detection of Magecart attacks through a comparative study of various Machine Learning ML models...

motionEye Detection (HTTP)

HTTP based detection of motionEye. 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 ifdescription scriptoid"1.3.6.1.4.1.25623.1.0.155713";...

Large Language Models for Cyber Security

This paper studies the integration off Large Language Models into cybersecurity tools and protocols. The main issue discussed in this paper is how traditional rule-based and signature based security systems are not enough to deal with modern AI powered cyber threats. Cybersecurity industry is...

CLSA-2025-1762361016 libssh: Fix of CVE-2025-5987

CVE-2025-5987: fix missing error detection in ChaCha20 initialization that could leave cipher context partially uninitialized...

SHIELD: Securing Healthcare IoT with Efficient Machine Learning Techniques for Anomaly Detection

The integration of IoT devices in healthcare introduces significant security and reliability challenges, increasing susceptibility to cyber threats and operational anomalies. This study proposes a machine learning-driven framework for 1 detecting malicious cyberattacks and 2 identifying faulty...

Pi-hole Ad-Blocker Detection Consolidation

Consolidation of Pi-hole Ad-Blocker 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 ifdescription...

Specification-Guided Vulnerability Detection with Large Language Models

Large language models LLMs have achieved remarkable progress in code understanding tasks. However, they demonstrate limited performance in vulnerability detection and struggle to distinguish vulnerable code from patched code. We argue that LLMs lack understanding of security specifications -- the...

Temporal Analysis Framework for Intrusion Detection Systems: A Novel Taxonomy for Time-Aware Cybersecurity

Most intrusion detection systems still identify attacks only after significant damage has occurred, detecting late-stage tactics rather than early indicators of compromise. This paper introduces a temporal analysis framework and taxonomy for time-aware network intrusion detection. Through a...

Design and Detection of Covert Man-In-The-Middle Cyberattacks on Water Treatment Plants

Cyberattacks targeting critical infrastructures, such as water treatment facilities, represent significant threats to public health, safety, and the environment. This paper introduces a systematic approach for modeling and assessing covert man-in-the-middle MitM attacks that leverage system...