hakoriginfinder

hakoriginfinder Tool for discovering the origin host behind a reverse proxy. Useful for bypassing WAFs and other reverse proxies. How does it work? This tool will first make a HTTP request to the hostname/URL that you provide and store the response, then it will make a request to every IP address...

AudioCaptchaBypass-CVE-2008-2019

Exploit for CVE-2008-2019 - Simple Machines Form SMF 1.1.4 and below. SMF uses an audio captcha made up of a woman's voice saying each letter of the alphabet. The user, who could be blind needs to type in these letters in order to pass the challenge response. The vulnerability identified by...

confusable-vision

confusable-vision The world's first font-by-font confusables dataset. Which Unicode characters look like which, measured from the fonts' outlines rather than from pixels. The current release, 2026.09.26, compares every letter and digit that each of 322 fonts draws, at the size and baseline positi...

telegram-nearby-map

Telegram Nearby Map Telegram Nearby Map utiliza OpenStreetMap y la biblioteca oficial de Telegram para encontrar la posición de los usuarios cercanos. Ten en cuenta: La API de Telegram se actualizó hace un tiempo para hacer menos precisas las distancias de los usuarios cercanos, impidiendo el...

hakoriginfinder

hakoriginfinder Herramienta para descubrir el host de origen detrás de un proxy inverso. Útil para eludir WAF y otros proxies inversos. ¿Cómo funciona? Esta herramienta primero realiza una solicitud HTTP al hostname/URL que proporcione y almacena la respuesta, luego realiza una solicitud a cada...

ALYCON-Threat-Landscape

ALYCON: Advanced Threat Landscape Analysis Multi-Domain Threat Detection using Information-Theoretic Phase Space Analysis Overview ALYCON phase space visualization showing multi-domain threat detection and anomaly classification. Framework: Training-free, universal anomaly detection using Shannon...

Dual Lattice Attacks for Bounded Distance Decoding, Revisited

Analyses of dual lattice attacks have often assumed that the individual scores associated with short dual vectors are mutually independent. Laarhoven-Walter used this heuristic to derive explicit trade-offs between the target radius and query time for bounded distance decoding BDD with...

Cyber Exodus: Burnout Symptoms, Exit Intention, and Peer Response in Online Cybersecurity Communities

Security practitioners burn out at high rates, and the resulting attrition is itself a security problem. This workforce is hard to study: security operations centers are closed to outside researchers, studies that reach practitioners recruit through employers, and those who have disengaged most m...

Topological Attribution Distance (TAD): Revealing Segment-Level RAG Influence on LLM Output Geometry for Incident Log Analysis

Large Language Models LLMs are increasingly being deployed in cybersecurity operations to assist cybersecurity analysts with rapid decision-making against emerging threats. However, there is a main criteria that must be met when using LLMs in cybersecurity, that is, trust in the generated outputs...

A Combined Feature-Based Framework for Disguise and Spoofing Detection in Face Recognition Systems

Face recognition systems face two distinct, commonly-separated failure modes: spoofing, where an impostor presents a photograph or video of an authorized user, and disguise, where a legitimate user is rejected because their appearance differs from their enrolled template due to accessories, facia...

Enhancing the Security of Coherent One-Way Quantum Key Distribution Using CHSH Correlations

The coherent one-way COW protocol is a quantum key distribution scheme that has attracted significant attention, leading to the development and commercialization of practical implementations. Despite this progress, the security of the COW protocol has remained a fundamental challenge since its...

Revisiting Data-Driven Dynamic Security Assessment with a Tabular Foundation Model

Data-driven pre-fault dynamic security assessment DSA rapidly evaluates the dynamic risk of credible contingencies on a power system using machine learning. Existing approaches face two limitations. First, they require a large labelled database for training, with a separate model trained, tuned,...

Security Evaluation of Quantum Distance-Bounding Protocols Via Semidefinite Programming

Quantum distance-bounding QDB protocols let a verifier check that a prover is both genuine and physically nearby. During a timed fast phase of quantum communication, the verifier measures round-trip times to obtain an upper bound on the prover's distance. For a uniform comparison, we isolate the...

PYSEC-2026-3293 TensorFlow vulnerable to integer overflow in EditDistance

Impact TFversion 2.11.0 //tensorflow/core/ops/arrayops.cc:1067 const Tensor hypothesisshapet = c-inputtensor2; std::vector dimshypothesisshapet-NumElements - 1; for int i = 0; i MakeDimstd::maxhvaluesi, tvaluesi; if hypothesisshapet is empty, hypothesisshapet-NumElements - 1 will be integer...

PYSEC-2026-3130 TensorFlow vulnerable to integer overflow in EditDistance

Impact TFversion 2.11.0 //tensorflow/core/ops/arrayops.cc:1067 const Tensor hypothesisshapet = c-inputtensor2; std::vector dimshypothesisshapet-NumElements - 1; for int i = 0; i MakeDimstd::maxhvaluesi, tvaluesi; if hypothesisshapet is empty, hypothesisshapet-NumElements - 1 will be integer...

TensorFlow vulnerable to integer overflow in EditDistance

ImpactTFversion 2.11.0 //tensorflow/core/ops/arrayops.cc:1067 const Tensor hypothesisshapet = c-inputtensor2; std::vector dimshypothesisshapet-NumElements - 1; for int i = 0; i MakeDimstd::maxhvaluesi, tvaluesi; if hypothesisshapet is empty, hypothesisshapet-NumElements - 1 will be integer...

TensorFlow vulnerable to integer overflow in EditDistance

ImpactTFversion 2.11.0 //tensorflow/core/ops/arrayops.cc:1067 const Tensor hypothesisshapet = c-inputtensor2; std::vector dimshypothesisshapet-NumElements - 1; for int i = 0; i MakeDimstd::maxhvaluesi, tvaluesi; if hypothesisshapet is empty, hypothesisshapet-NumElements - 1 will be integer...

PT-2026-59907

Impact TFversion 2.11.0 //tensorflow/core/ops/array ops.cc:1067 const Tensor hypothesis shape t = c-input tensor2; std::vector dimshypothesis shape t-NumElements - 1; for int i = 0; i MakeDimstd::maxh valuesi, t valuesi; if hypothesis shape t is empty, hypothesis shape t-NumElements - 1 will be...

PT-2026-59747

Impact TFversion 2.11.0 //tensorflow/core/ops/array ops.cc:1067 const Tensor hypothesis shape t = c-input tensor2; std::vector dimshypothesis shape t-NumElements - 1; for int i = 0; i MakeDimstd::maxh valuesi, t valuesi; if hypothesis shape t is empty, hypothesis shape t-NumElements - 1 will be...

CVE-2026-15300

The GEO my WP plugin for WordPress was vulnerable to SQL Injection via the 'distance', 'lat', and 'lng' parameters in versions up to, and including, 4.5.4. The values were read from $SERVER'QUERYSTRING' via parsestr bypassing wpmagicquotes, which does not cover $SERVER, then passed through bare...