rtl8812au

RTL8812AU/21AU and RTL8814AU Wireless drivers Only for use with Linux & Android THESE DRIVERS IS DEPRECATED. Use the mac80211 drivers over at https://github.com/lwfinger/rtw88 Important! Use "ip" and "iw" instead of "ifconfig" and "iwconfig" It's described further down, READ THE README! Note: The...

EVENSTAR

EVENSTAR Intel 64/Windows low-level experiments...

fuzztruction

Fuzztruction Fuzztruction is an academic prototype of a fuzzer that does not directly mutate inputs as most fuzzers do but instead uses a so-called generator application to produce an input for our fuzzing target. As programs generating data usually produce the correct representation, our fuzzer...

WordPress Title Experiments Free <9.0.1 - SQL Injection

WordPress Title Experiments Free plugin before 9.0.1 contains a SQL injection vulnerability. The plugin does not sanitize and escape the id parameter before using it in a SQL statement via the wpextitles AJAX action, available to unauthenticated users. An attacker can possibly obtain sensitive...

poc_CVE-2021-36934

pocCVE-2021-36934 POC experiments with Volume Shadow copy Service VSS...

CVE-2026-108670

JeecgBoot through 3.9.5 contains a missing authorization vulnerability in the promptExperiment handler of AiragPromptsController that allows any authenticated user to run AI prompt experiments. Low-privileged attackers can supply other users' prompt template and dataset ids to trigger large...

CVE-2026-108670 JeecgBoot through 3.9.5 Missing Authorization via /airag/prompts/experiment

JeecgBoot through 3.9.5 contains a missing authorization vulnerability in the promptExperiment handler of AiragPromptsController that allows any authenticated user to run AI prompt experiments. Low-privileged attackers can supply other users' prompt template and dataset ids to trigger large...

CVE-2026-108670

JeecgBoot through 3.9.5 contains a missing authorization vulnerability in the promptExperiment handler of AiragPromptsController that allows any authenticated user to run AI prompt experiments. Low-privileged attackers can supply other users' prompt template and dataset ids to trigger large...

CVE-2026-108670

JeecgBoot versions up to and including 3.9.5 are vulnerable to a missing authorization flaw in the promptExperiment handler of the AiragPromptsController . This vulnerability allows any authenticated user to perform unauthorized actions by providing different prompt template and dataset IDs. Cons...

frida-fuzzer

Frida API Fuzzer v1.4 Copyright C 2020 Andrea Fioraldi [email protected] Released under the Apache License v2.0 This experimental fuzzer is meant to be used for API in-memory fuzzing. The design is highly inspired and based on AFL/AFL++. ATM the mutator is quite simple, just the AFL's havoc...

ExploitDev

ExploitDev Various tools, PoCs and experiments related to my blog at https://www.forrest-orr.net/...

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework

Autonomous agents challenge conventional LLM serving by coupling repeated inference with persistent context and sandboxed tool execution. We present Aries, a full-stack experimentation framework that separates task semantics from execution configurations, reconstructs cross-component agent...

Piggybacking on Perception: Stealthy Concurrent Audio Prompt Injections against Multimodal LLM Agents

Large Language Model LLM-driven multimodal agents are increasingly deployed to execute autonomous tasks via continuous audio interaction. While this paradigm enhances interaction naturalness, it introduces a critical yet under-explored attack surface, as audio inputs inevitably contain...

Distributed Denial of Science: How Indirect Data Poisoning of AI Systems Can Industrialize Scientific Fraud

Scientific fraud is the instrument of doubt that malicious entities can use to establish controversy in science. Historically, it required the resources of a company: deep pockets, ghostwritten articles, and corrupt academics. Today, Artificial Intelligence AI is increasingly automating scientifi...

Federated Cybersecurity Testbed As a Service (FCTaaS): A Framework to Federate Cybersecurity Testbeds

Rapid technological change is reshaping society through emerging domains such as autonomous vehicles and smart manufacturing, creating new research challenges in system design, operation, security, and training. Researchers often rely on testbeds to reproduce experimental scenarios, collect and...

PYSEC-2026-1656 MLFlow is vulnerable to DNS rebinding attacks due to a lack of Origin header validation

MLFlow versions up to and including 3.4.0 are vulnerable to DNS rebinding attacks due to a lack of Origin header validation in the MLFlow REST server. This vulnerability allows malicious websites to bypass Same-Origin Policy protections and execute unauthorized calls against REST endpoints. An...

Giving AI a Headache: Acoustic Adversarial Attacks to Computer Vision Applications

Artificial Intelligence AI is increasingly used to automate a variety of real-world computer vision CV applications, such as autonomous vehicle control, facial recognition, and security cameras. Recent research has shown that acoustic vibration can induce real physical motion in cameras,...

0day

0day !GitHub forkshttps://img.shields.io/github/forks/he...

FDM: A Framework for Decision-Making to Build ML-Based Malware Detection Systems

Selecting appropriate machine learning ML configurations for malware detection is a complex, multi-criteria problem. Model choice, feature engineering, and update mechanisms must jointly satisfy operational constraints that vary across deployment contexts. This paper proposes the Framework for...

Do You Dare to Try Test-Driven Forensics? Increasing Trust in Desktop Forensics with ADARE

Digital forensic relies on validated tools and established procedures, yet the underlying operating systems, applications, and analysis tools evolve rapidly. This evolution can cause artifact behavior and tool outputs to drift, silently degrading repeatability and confidence in long-lived forensi...