augustus v0.14.24

Augustus - LLM vulnerability scanner for prompt injection, jailbreak, and adversarial attack testing Augustus - LLM Vulnerability Scanner Test large language models against 210+ adversarial attacks covering prompt injection, jailbreaks, encoding exploits, and data extraction. Augustus is a Go-bas...

CVE-2026-68860

Dell PowerProtect Data Manager, versions 20.2.0.0 and below, contain a Reliance on Data/Memory Layout vulnerability. An unauthenticated remote attacker could potentially exploit this vulnerability, leading to Launch of phishing attacks...

CVE-2026-68860: Reliance on Data/Memory Layout

Dell PowerProtect Data Manager, versions 20.2.0.0 and below, contain a Reliance on Data/Memory Layout vulnerability. An unauthenticated remote attacker could potentially exploit this vulnerability, leading to Launch of phishing attacks...

Privacy, Robustness, and Fairness Trade-Offs in Federated Intrusion Detection: Geometric Indistinguishability at the Aggregation Interface

Federated learning enables privacy-conscious collaboration for network intrusion detection without centralizing sensitive traffic data, yet its deployment in operational environments must simultaneously satisfy three competing requirements: formal differential privacy guaranties, tolerance to...

credential-attacks-toolkit — Updated!

CredAttack — Credential Attacks Toolkit ⚠️ LEGAL NOTICE — Authorised security testing ONLY. Using this tool against systems you do not own or have explicit written permission to test is illegal under the Computer Fraud and Abuse Act US, Computer Misuse Act UK, and equivalent laws worldwide. See...

Evaluating ML-Based Intrusion Detection Systems: The Illusion of Model Efficacy

Intrusion Detection has been revolutionized due to the integration of Machine Learning. Improved detection rates, reduced false alarms, and optimized algorithms contribute to the perception of improved systems with optimal accuracy and near-perfect performance, the illusion of model efficacy...

CVE-2026-84483

WWBN AVideo through commit 9c39d8c8 contains an incomplete authentication bypass in encryptPass.json.php that allows unauthenticated attackers to compute valid HMAC tokens using the public site URL and current time. Attackers can forge authentication tokens by computing hashhmac with the site's...

Linux-ExploitDev

Linux Kernel Exploitation Notes In progress — notes are a...

Cybersecurity IR Workshop: The workshop you shouldn’t miss

In this article 1. What is the Cybersecurity Incident Response Readiness Workshop? 2. Our approach: How we assess your maturity 3. Learn more Cybersecurity incidents can unfold in hours, but response plans often fail at the point of execution: ownership is unclear, investigation findings is...

python-tuf v7.0.1

A Framework for Securing Software Update Systems The Update Framework TUF is a framework for secure content delivery and updates. It protects against various types of supply chain attacks and provides resilience to compromise. This repository is a reference implementation written in Python. It is...

awesome-ai-security — Updated!

awesome-ai-security A curated list of AI Security materials and resources for Pentesters, Bug Hunters, and Security Researchers. If you find that some links are not working, you can simply replace the username with gmh5225. Or you can send an issue for me. Show respect to all the projects below,...

Johnny Still Receives Spam SMS: Assessing the Robustness of SMS Spam Detection

SMS spam detection systems often achieve high accuracy in controlled environments but struggle against adversarial attacks and increasingly sophisticated spam tactics in real-world deployments. In this paper, we evaluate the robustness of SMS anti-spam systems that end users actually rely on,...

Adversarial Vulnerabilities of Neural Biomarker Identification Systems

There is growing interest in the proposed use of EEG signals as biometric credentials, but thus far there has been little research on the reliability and security of such biometrics. Prior adversarial tests have focused on deep-learning classifiers and assumed attackers have full access to the...

A Simple Transformer Pipeline for Full-Key Side-Channel Attacks on Uncropped Datasets

Deep learning-based side-channel analysis has historically focused on single-byte targets and manually cropped traces, which risks discarding exploitable leakage. While recent work has proposed specialized architectures and resampling techniques to address this gap, the literature lacks a simple...

CVE-2026-76940

The affected Ebyte device does not restrict repeated authentication attempts through rate limiting or account lockout mechanisms. This could allow an attacker to perform automated authentication attacks against deployments that rely on password based authentication...

LongPIBench: A Long-Context Benchmark for Prompt Injection

Prompt injection attacks pose a serious security risk to large language models in real-world applications. However, existing prompt injection benchmarks primarily focus on short-context inputs, leaving the attacks and defenses in long-context settings largely unexplored. This gap leads to a...

CVE-2026-76940

CVE-2026-76940 affects the Ebyte NE2-D11 device, which does not restrict repeated authentication attempts through rate limiting or account lockout mechanisms. This lack of control allows an attacker to perform automated password-based authentication attacks against deployments relying on such aut...

CVE-2026-76940 Ebyte NA111-M Improper Restriction of Excessive Authentication Attempts

The affected Ebyte device does not restrict repeated authentication attempts through rate limiting or account lockout mechanisms. This could allow an attacker to perform automated authentication attacks against deployments that rely on password based authentication...

CVE-2026-76940 Ebyte NA111-M Improper Restriction of Excessive Authentication Attempts

The affected Ebyte device does not restrict repeated authentication attempts through rate limiting or account lockout mechanisms. This could allow an attacker to perform automated authentication attacks against deployments that rely on password based authentication...

CVE-2026-76940: Improper Restriction of Excessive Authentication Attempts

The affected Ebyte device does not restrict repeated authentication attempts through rate limiting or account lockout mechanisms. This could allow an attacker to perform automated authentication attacks against deployments that rely on password based authentication...