vscan

vscan vulnerability scanner tool is using nmap and nse scripts to find vulnerabilities This tool puts an additional value into vulnerability scanning with nmap. It uses NSE scripts which can add flexibility in terms of vulnerability detection and exploitation. Below there are some of the features...

modelaudit

ModelAudit Secure your AI models before deployment. Static scanner that detects malicious code, potential backdoor indicators, and security vulnerabilities in ML model files — without ever loading or executing them. Full Documentation | Usage Examples | Supported Formats Why ModelAudit Models...

RCLocals

RCLocals Inspired by 'Autoruns' from Sysinternals, RCLocals analyzes all Linux startup possibilities to find backdoors, also performs process integrity verification, scan for DLL injected processes and much more Things covered: ·List GPG keys trusted by the system ·Installed Packages ·File...

TNC-Defense

TNC-Defense TNC-Defense provides research code for detecting and detoxifying backdoors in text-to-image diffusion models. The repository currently includes detection pipelines for Stable Diffusion v1.4, Stable Diffusion v1.5, Stable Diffusion XL, and Stable Diffusion 3 Medium, together with...

CVE-NetScalerFileSystemCheck

CVE-NetScalerFileSystemCheck This script checks the Citrix Netscaler if it has been compromised by CVE-2019-19781 attacks and collects all file system information. The following files and logs will be checked Latest version 1.13: Template folders for XML files Apache Access logfiles Apache Error...

psad

psad - Detección de intrusiones con registros de iptables Introducción El detector de ataques de escaneo de puertos psad es un demonio ligero del sistema escrito en Perl, diseñado para trabajar con el código de cortafuegos Linux iptables/ip6tables/firewalld para detectar tráfico sospechoso como...

sticky_keys_hunter

Sticky Keys Hunter Este script bash de prueba de concepto POC verifica si existen backdoors de sticky keys y utilman. El script se conecta a un servidor RDP, envía tanto los disparadores de sticky keys como de utilman y captura la pantalla del resultado. Este script fue escrito para probar una...

changeme

changeme Un escáner de credenciales por defecto. Acerca de changeme retoma donde los escáneres comerciales lo dejan. Se centra en detectar credenciales por defecto y puerta trasera, no necesariamente credenciales comunes. Su modo predeterminado es escanear credenciales HTTP por defecto, pero tien...

CVE-2021-44228

CVE-2021-44228 Backdoor detection for VMware view horizon This includes a canary with an optional submit. Clearly use at own risk blah blah This is designed to be run on Windows VMware Horizon connection servers. It doens't look at the UAG appliances they are Photon linux...

Learning Normal Diffusion Dynamics for Backdoor Defense in Text-To-Image Models

Backdoor attacks pose a serious threat to the secure deployment of text-to-image T2I diffusion models. Existing defenses typically detect backdoors from specific abnormal patterns in internal representations, which may limit their generalizability with the emergence of increasingly diverse attack...

Security Properties of Neural Networks As Decision Problems

Certifying a deployed neural network raises decision problems that the verification literature has not classified: whether the model carries a backdoor planted in its training data, whether a fault in its stored parameters can drive it into an unsafe state, whether its output leaks a private part...

WordPress Adds Automated Plugin Reviews to Block High-Risk Updates Before Distribution

WordPress has announced it's launching an automated security review for every release of a plugin before it's distributed through the WordPress.org update API so as to analyze it for potential security issues and ensure there are no risks involved. "New plugins are reviewed before they enter the...

When Modalities Fail to Tango: Conformal Backdoor Detection in Multimodal Contrastive Learning

Backdoor attacks in multimodal contrastive learning MCL have garnered growing attention in recent years, as many downstream tasks critically depend on pre-trained MCL models. Existing detection-based defenses predominantly rely on the CLIPScore metric, under the assumption that poisoned pairs...

CLIP-Inspector: Model-Level Backdoor Detection for Prompt-Tuned CLIP Via OOD Trigger Inversion

Organisations with limited data and computational resources increasingly outsource model training to Machine Learning as a Service MLaaS providers, who adapt vision-language models VLMs such as CLIP to downstream tasks via prompt tuning rather than training from scratch. This semi-honest setting...

Detecting backdoored language models at scale

Today, we are releasing new research on detecting backdoors in open-weight language models. Our research highlights several key properties of language model backdoors, laying the groundwork for a practical scanner designed to detect backdoored models at scale and improve overall trust in AI...

Detecting backdoored language models at scale

Today, we are releasing new research on detecting backdoors in open-weight language models. Our research highlights several key properties of language model backdoors, laying the groundwork for a practical scanner designed to detect backdoored models at scale and improve overall trust in AI...

LoRA As Oracle

Backdoored and privacy-leaking deep neural networks pose a serious threat to the deployment of machine learning systems in security-critical settings. Existing defenses for backdoor detection and membership inference typically require access to clean reference models, extensive retraining, or...

Cross-LLM Generalization of Behavioral Backdoor Detection in AI Agent Supply Chains

As AI agents become integral to enterprise workflows, their reliance on shared tool libraries and pre-trained components creates significant supply chain vulnerabilities. While previous work has demonstrated behavioral backdoor detection within individual LLM architectures, the critical question ...

PoTS: Proof-Of-Training-Steps for Backdoor Detection in Large Language Models

As Large Language Models LLMs gain traction across critical domains, ensuring secure and trustworthy training processes has become a major concern. Backdoor attacks, where malicious actors inject hidden triggers into training data, are particularly insidious and difficult to detect. Existing...

Binary Diff Summarization Using Large Language Models

Security of software supply chains is necessary to ensure that software updates do not contain maliciously injected code or introduce vulnerabilities that may compromise the integrity of critical infrastructure. Verifying the integrity of software updates involves binary differential analysis...