On Evaluating Quantum Kernel Robustness for Low-Resource Cross-Corpus Audio Deepfake Detection

Synthetic speech detection is critical for audio security, but performance can degrade when labeled data are scarce and evaluation conditions differ from training. This study examines quantum kernel methods and lightweight neural models for cross-corpus audio deepfake detection under limited...

DeBERTa-ConPara: Attack-Aware and Deployment-Realistic Detection of AI-Generated Text

Robust detection of AI-generated text under deployment conditions is challenging: distribution shifts across domains and generators, adversarial perturbations of the input surface, and the absence of target-domain labels for threshold calibration all degrade detectors that perform well in-domain...

Cybersecurity in Edge Computing: A Trust-Aware Federated Hybrid Intrusion Detection Framework

Edge computing has emerged as a critical computing paradigm in modern distributed systems by migrating data processing closer to end users and Internet of Things IoT devices. While this paradigm decentralizes processes, minimizes latency, and reduces backhaul bandwidth congestion, it exponentiall...

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...

PyJWT: Asymmetric-PEM detection bypass: whitespace/line-ending-mutated public keys skip the HS/asymmetric confusion guard

Prerequisites both conditions must hold; both are deployment properties, not attacker-controlled at request time: - The jwt.decode allow-list mixes an HMAC algorithm with an asymmetric one, e.g. algorithms="ES256", "HS256" the RFC 8725 footgun the guard exists to backstop. - The verification key ...

Autonomous Remediation Is Already Running at Enterprise Scale

The following is a guest blog by ITSPmagazine, based on their interview of Qualys President & CEO Sumedh Thakar at Black Hat USA 2026. Sumedh Thakar has watched the same clock compress for 23 years. He joined Qualys as an early software engineer on the scanner, when organizations scanned once eve...

Securing the keys to the kingdom: Announcing Executive Threat Detection

Attackers are using greater sophistication to gain access to high-yield targets like executives, and company-wide security measures can easily miss these subtle, personal attacks. Executive Threat Detection offers protection for up to 10 principals, with monthly custom threat hunts and reports...

Attacks go unrecorded when a request carries malformed headers or oversized fields

More info at https://github.com/jay123anta/laravel-threat-detection/security/advisories/GHSA-3c4c-m8xj-3vc8...

Credentials under prefixed or nested names stored in cleartext in the threat log

More info at https://github.com/jay123anta/laravel-threat-detection/security/advisories/GHSA-6gg9-q48h-56vx...

Marking a detection as a false positive could create a wider exclusion rule than intended

More info at https://github.com/jay123anta/laravel-threat-detection/security/advisories/GHSA-rppj-hxxm-v5pr...

cPanelScanner

🔍 cPanel スキャナー Go で書かれた、高速でマルチスレッドの cPanel 検出ツールです。IP アドレス、CIDR レンジ、またはファイルから読み込んだターゲットリストをスキャンし、ポート 2082、2083、2087 で動作している cPanel サービスを特定します。 ✨ 機能 マルチスレッドスキャン — 同時実行数を設定可能 CIDR 対応 — サブネット全体をスキャン ファイル入力 — ファイルからターゲットを1行につき1つ読み込む 出力保存 — 検出した URL をファイルに保存 cPanel 検出 — ヘッダー、タイトル、コンテンツ、一般的なパスを確認 プログレス...

sqli-xss-detection

How to run it Open a terminal in the project root: sqlixssdete...

Custom-Nuclei-Templates

Custom Nuclei Templates This collection of Nuclei templates is designed to enhance your security testing capabilities. Made a few custom templates and i might add more as time goes on. Introduction Nuclei is a powerful tool for fast and customizable vulnerability scanning. This repository contain...

Does the Unsafe Gradient Survive a Conversation? on the Fragility of Gradient-Based Jailbreak Detection in Multi-Turn Dialogue

Safety-aligned language models are commonly deployed as multi-turn assistants, which lets adversaries spread unsafe intent across several user turns instead of a single prompt. Gradient-based jailbreak detectors such as GradSafe were developed for single prompts: they score an input by the...

ModalFidelity: Routing Modalities for Deepfake Detection on a Budget

Deepfakes no longer need to fake a whole video. Generators that read the transcript now alter only the few seconds in which a video's meaning turns, so a forgery hides in a small, unknown fraction of the video. Yet detectors still read every one-second window of both the audio and image streams,...

Forensic-Aware Continual Adaptation for Image Forgery Localization

The rapid evolution of image manipulation techniques has raised growing public security concerns. Existing Image Forgery Localization IFL methods can accurately localize manipulated regions but are often unable to adapt to newly emerging forgeries. In real-world forensic scenarios, data typically...

SKILLLITE: Evidence-Guided Malicious Skill Auditing with Compact LLMs

As LLM-based agents perform increasingly complex tasks, Agent Skills have emerged as a flexible mechanism for extending their capabilities. An Agent Skill packages task-specific instructions with executable components and auxiliary resources to provide specialized functionalities. However, the...

HARDE: Optimizing Agent Harnesses for Runtime Risk Detection and Execution Control

Large language model LLM agents are vulnerable to safety risks such as injected malicious instructions or misleading information, motivating runtime defenses that prevent unsafe action in execution across diverse risks while preserving benign-task utility. Existing system-level defenses either...

Multilayer Forensic Tampering Detection

With the proliferation of free online editing tools, altering or forging pdf documents has become trivially easy, often leaving no visual traces on screen. This paper introduces a two- stage forensic pipeline. An initial security-gating layer validates format compliance and flags embedded malicio...

[SECURITY] Fedora 44 Update: suricata-8.0.7-1.fc44

The Suricata Engine is an Open Source Next Generation Intrusion Detection and Prevention Engine. This engine is not intended to just replace or emulate the existing tools in the industry, but will bring new ideas and technologies to the field. This new Engine supports Multi-threading, Automatic...