CC_Watermark

Optimal Couplings for Distortion-Free Text Watermarking The official code of Optimal Couplings for Distortion-Free Text Watermarking Abstract Large-language models LLMs are now able to produce text that is indistinguishable from human-generated content. This has fueled the development of watermar...

tsfresh

tsfresh This repository contains the TSFRESH python package. The abbreviation stands for "Time Series Feature extraction based on scalable hypothesis tests". The package provides systematic time-series feature extraction by combining established algorithms from statistics, time-series analysis,...

-CVE-2024-24450-

-CVE-2024-24450- протестировать позже для гипотетического PoC для CVE-2024-24450...

agentic-threat-hunting-framework

Agentic Threat Hunting Framework ATHF Avvio Rapido • Installazione • Documentazione • Esempi Dai al tuo programma di threat hunting memoria e agentività...

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...

Hypotheses, telemetry, and human judgment: Inside Cisco Talos Threat Hunting

By Ron Scott-Adams Most security tools operate on a simple principle: If a known-bad pattern appears, fire an alert. This works well enough for many threats, but it fails against adversaries who closely study detection thresholds and deliberately stay under them. Cisco Talos Threat Hunting operat...

argus

Argus Autonomous vulnerability discovery and exploit validati...

What Is Threat Hunting? A Complete Guide for Security Teams

What Is Threat Hunting? A Complete Guide for Security Teams Security tools catch a lot. They do not catch everything. Automated detection systems rely on known signatures, predefined rules, and behavioral baselines. Sophisticated adversaries know this and design their operations to slip through t...

Entropy Bounds Via Hypothesis Testing and Its Applications to Two-Way Key Distillation in Quantum Cryptography

Quantum key distribution QKD achieves information-theoretic security, without relying on computational assumptions, by distributing quantum states. To establish secret bits, two honest parties exploit key distillation protocols over measurement outcomes resulting after the the distribution of...

Substitution Cipher Based on The Voynich Manuscript

Here's a fun paper: "The Naibbe cipher: a substitution cipher that encrypts Latin and Italian as Voynich Manuscript-like ciphertext": Abstract: In this article, I investigate the hypothesis that the Voynich Manuscript MS 408, Yale University Beinecke Library is compatible with being a ciphertext ...

Average Hardness of SIVP for Module Lattices of Fixed Rank

The problem of finding short vectors in Euclidean lattices is a central hard problem in complexity theory. The case of module lattices i.e., lattices which are also modules over a number ring is of particular interest for cryptography and computational number theory. The hardness of finding short...

APThreatHunter: An Automated Planning-Based Threat Hunting Framework

Cyber attacks threaten economic interests, critical infrastructure, and public health and safety. To counter this, entities adopt cyber threat hunting, a proactive approach that involves formulating hypotheses and searching for attack patterns within organisational networks. Automating cyber thre...

Targeted Pooled Latent-Space Steganalysis Applied to Generative Steganography, with a Fix

Steganographic schemes dedicated to generated images modify the seed vector in the latent space to embed a message, whereas most steganalysis methods attempt to detect the embedding in the image space. This paper proposes to perform steganalysis in the latent space by modeling the statistical...

EUVD-2022-0385

Malicious code in bioql PyPI...

EUVD-2022-0387

Malicious code in bioql PyPI...

EUVD-2022-0383

Malicious code in bioql PyPI...

EUVD-2022-0388

Malicious code in bioql PyPI...

EUVD-2022-0384

Malicious code in bioql PyPI...

EUVD-2022-0386

Malicious code in bioql PyPI...

VulAgent: Hypothesis-Validation Based Multi-Agent Vulnerability Detection

The application of language models to project-level vulnerability detection remains challenging, owing to the dual requirement of accurately localizing security-sensitive code and correctly correlating and reasoning over complex program context. We present VulAgent, a multi-agent vulnerability...