automatic-spike-detection (>=1.0.0b0, <=1.2.4), snraspi-lib (1.0.6) +1 more potentially affected by CVE-2026-102938 via virtualenv (20.24.4)

virtualenv PYPI version 20.24.4 is affected by a known vulnerability. The following packages have a transitive dependency on virtualenv and may be impacted: - automatic-spike-detection =1.0.0b0, =5.0.0, =5.0.1 Source cves: CVE-2026-102938 Source advisory: OSV:GHSA-9H9J-4VRJ-GF7G...

MAL-2026-17434 Malicious code in live-detection-dashboard (npm)

live-detection-dashboard is a dependency-confusion package: it takes a name that looks like an internal project, uses an inflated version 100.0.0 so it outranks private-registry versions, and runs node setup.js || true as a preinstall script on npm install. setup.js sends the hostname, username,...

Malicious code in live-detection-dashboard (npm)

live-detection-dashboard is a dependency-confusion package: it takes a name that looks like an internal project, uses an inflated version 100.0.0 so it outranks private-registry versions, and runs node setup.js || true as a preinstall script on npm install. setup.js sends the hostname, username,...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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,...