MAL-2026-6856 Malicious code in node-env-detector (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 0f28e9e57fb0e1cc42f084ab5c8422bdd3b10dd056022e7f133ae2177c7f0043 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

EUVD-2026-36672

A vulnerability was identified in VS Revo RevoUninstaller 2.5.x/2.6.x. The affected element is the function IOCtlHandler in the library RevoDetector.sys of the component IOCTL Handler. Such manipulation leads to heap-based buffer overflow. The attack must be carried out locally. The exploit is...

CVE-2026-12193 VS Revo RevoUninstaller IOCTL RevoDetector.sys IOCtl_Handler heap-based overflow

A vulnerability was identified in VS Revo RevoUninstaller 2.5.x/2.6.x. The affected element is the function IOCtlHandler in the library RevoDetector.sys of the component IOCTL Handler. Such manipulation leads to heap-based buffer overflow. The attack must be carried out locally. The exploit is...

CVE-2026-12193 VS Revo RevoUninstaller IOCTL RevoDetector.sys IOCtl_Handler heap-based overflow

A vulnerability was identified in VS Revo RevoUninstaller 2.5.x/2.6.x. The affected element is the function IOCtlHandler in the library RevoDetector.sys of the component IOCTL Handler. Such manipulation leads to heap-based buffer overflow. The attack must be carried out locally. The exploit is...

Exploit for Uncontrolled Resource Consumption in Solarwinds Serv-U

SolarWinds Serv-U Unauthenticated DoS: Safe Detection Script...

RAT: Reference-Augmented Training for ASV Anti-Spoofing

We introduce a spoofing countermeasure architecture conditioned on speaker-reference recordings, but observe that it converges to a solution that effectively ignores the reference during inference. Surprisingly, training with a reference channel induces invariance that improves deepfake detection...

mcp-tool-poisoning-poc

mcp-tool-poisoning — Educational PoC Demonstrates the Too...

Hiding in Plain Floats: Steganographic Carriers for Indirect Prompt and Content Injection

Text-centered prompt-injection defenses assume that the malicious signal is visible in one of the inspected text views. We study a reproducible LLM01-style indirect prompt/content-injection failure mode where that assumption breaks: a payload caught in plain English slips past the same detector...

CVE-2026-41483

OpenTelemetry.Resources.Azure is the .NET resource detector for Azure environments. In versions 1.15.0-beta.1 and earlier, the AzureVmMetaDataRequestor class makes HTTP requests to the Azure VM instance metadata service and reads the response body into memory without any size limit. An attacker w...

CLIF: Cross-Layer LEO-ISL Fingerprinting for Physical and Network Attack Detection in Dense LEO Constellations

Low-Earth Orbit LEO mega-constellations such as Starlink by SpaceX and Kuiper by Amazon rely on optical Inter-Satellite Links ISLs for autonomous mesh routing to provide low-latency telecommunication, Internet of Things IoT, and security services globally. As commercial operators and governments...

PyFEX: Uncovering Evasive Python-Based Threats Via Resilient and Exhaustive Path Exploration

The rapid expansion of the Python ecosystem has fueled two distinct but converging threats: adversaries increasingly target the software supply chain via the Python Package Index PyPI, while also building evasive, cross-platform malicious binaries compiled from source code written in Python...

Malicious Package

Overview skills-detector is a malicious package. This package contains malicious code, and its content was removed from the official package manager. While this package might be attempting to impersonate a valid organization, there is no connection between that organization and this package...

PT-2026-44075

Pi.Alert is a WIFI / LAN intruder detector with web service monitoring. Prior to 2026-05-07, Pi.Alert's web-based configuration editor allows arbitrary Python code to be injected into pialert.conf. Since the background scan daemon loads this file via Python's exec, injected code executes as the...

FastNetMon 安全漏洞

FastNetMon is a high-performance DDoS detector/sensor developed by Pavel Odintsov, based on multiple packet capture engines. Versions of FastNetMon prior to 1.2.9 contain security vulnerabilities. These vulnerabilities stem from range resolution loops and field loop cycles in the NetFlow v9 optio...

Malicious code in skills-detector (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 844190b21455d308d6e2b5305ebe92634d80b55817290a84644a1048df0e54b3 On npm install, postinstall.js executes whoami and id via childprocess.execSync, collects os.hostname, os.platform, current working directory, and th...

MAL-2026-4670 Malicious code in skills-detector (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 844190b21455d308d6e2b5305ebe92634d80b55817290a84644a1048df0e54b3 On npm install, postinstall.js executes whoami and id via childprocess.execSync, collects os.hostname, os.platform, current working directory, and th...

CVE-2026-0265 Vulnerability Assessment Tool

CVE-2026-0265 is a remote authentication bypass affecting PAN-OS and Panorama that triggers when an authentication profile uses Cloud Authentication Service CAS. This tool safely detects whether an instance is vulnerable without authenticating any session or modifying any state...

WannaCry-Netscanner

WannaCryNetScanner A simple python scanner to detect vulnerabl...

Malicious Package

Overview web3-secrets-detector is a malicious package. This package contains malicious code, and its content was removed from the official package manager. While this package might be attempting to impersonate a valid organization, there is no connection between that organization and this package...

UNAD+: An Explainable Hybrid Framework for Unknown Network Attack Detection

The detection of previously unseen network attacks remains a major challenge for intrusion detection systems. Although supervised learning methods often perform well on known attack classes, they are limited when new attack types are not represented in the training data. Unsupervised methods are...