CVE-2026-56149 Allocation of Resources Without Limits or Throttling in Elasticsearch Leading to Denial of Service

Allocation of Resources Without Limits or Throttling CWE-770 in Elasticsearch can lead to a denial of service via Excessive Allocation CAPEC-130. A user with elevated privileges can submit a specially crafted machine learning request that causes excessive memory consumption, which may render the...

CVE-2026-56149

CVE-2026-56149 affects Elasticsearch and stems from Allocation of Resources Without Limits or Throttling (CWE-770), enabling a denial of service via Excessive memory allocation when a user with privileges to manage trained models submits a crafted machine learning request. Affected versions inclu...

CVE-2026-56149

Allocation of Resources Without Limits or Throttling CWE-770 in Elasticsearch can lead to a denial of service via Excessive Allocation CAPEC-130. A user with elevated privileges can submit a specially crafted machine learning request that causes excessive memory consumption, which may render the...

Elasticsearch 8.19.17, 9.3.6, 9.4.3 Security Update (ESA-2026-43)

Allocation of Resources Without Limits or Throttling in Elasticsearch Leading to Denial of Service Allocation of Resources Without Limits or Throttling CWE-770 in Elasticsearch can lead to a denial of service via Excessive Allocation CAPEC-130. A user with elevated privileges can submit a special...

Forensic-Oriented Intrusion Detection Using Synthetic Network Traffic Data and Explainable Artificial Intelligence

Digital forensic investigations of network intrusions require analytical outputs that are traceable, reproducible, and court-defensible - requirements existing machine learning pipelines do not satisfy, since they treat original evidence as training data and produce opaque classifications without...

CVE-2026-56149: Allocation of Resources Without Limits or Throttling

Allocation of Resources Without Limits or Throttling CWE-770 in Elasticsearch can lead to a denial of service via Excessive Allocation CAPEC-130. A user with elevated privileges can submit a specially crafted machine learning request that causes excessive memory consumption, which may render the...

PT-2026-54864

Name of the Vulnerable Software and Affected Versions Elasticsearch affected versions not specified Description An issue exists where the allocation of resources lacks limits or throttling. A user with elevated privileges can submit a specially crafted machine learning request that triggers...

Comparative Analysis of Machine Learning Based Intrusion Detection in Realistic IoT Networks

The Internet of Things IoT is rapidly growing and expanding into various sectors, such as healthcare, transportation, smart homes, and more. Despite the benefits of using IoT devices, they present several challenges. Given the significant role these devices play in our lives, it is crucial to...

ShieldPatch

🛡️ ShieldPatch Predict . Protect . Prevail AI-driven vuln...

A Hybrid Framework for Crypto-Ransomware Detection in Enterprise Shared Storage

Most corporate workplace environments enforce policies and technical controls that limit the storage of sensitive data on client endpoints. Consequently, ransomware operators have evolved variants that expand their attack surface from local systems to network drives and shared storage resources. ...

IITR_Capstone_RedScope_Project

RedScope Capstone Project Lab-only red-team assessment for we...

CVE-2026-6330

The ML-KEM ARM64 NEON ciphertext comparison only compares half of the input, breaking the Fujisaki-Okamoto transform's implicit rejection and weakening IND-CCA2 security on that code path. The constant-time comparison effectively ignored part of the re-encrypted ciphertext, so a decapsulating par...

UBUNTU-CVE-2026-6330

The ML-KEM ARM64 NEON ciphertext comparison only compares half of the input, breaking the Fujisaki-Okamoto transform's implicit rejection and weakening IND-CCA2 security on that code path. The constant-time comparison effectively ignored part of the re-encrypted ciphertext, so a decapsulating par...

CVE-2026-6330

The ML-KEM ARM64 NEON ciphertext comparison only compares half of the input, breaking the Fujisaki-Okamoto transform's implicit rejection and weakening IND-CCA2 security on that code path. The constant-time comparison effectively ignored part of the re-encrypted ciphertext, so a decapsulating par...

CVE-2026-6330

The ML-KEM ARM64 NEON ciphertext comparison only compares half of the input, breaking the Fujisaki-Okamoto transform's implicit rejection and weakening IND-CCA2 security on that code path. The constant-time comparison effectively ignored part of the re-encrypted ciphertext, so a decapsulating par...

PT-2026-52603

Name of the Vulnerable Software and Affected Versions ML-KEM affected versions not specified Description An issue exists in the ARM64 NEON ciphertext comparison where only half of the input is compared. This failure breaks the implicit rejection of the Fujisaki-Okamoto transform—a method used to...

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution

The growing reliance on pre-trained Machine Learning ML models has introduced new attack surfaces. Recent vulnerabilities demonstrate that malicious behavior can be embedded within model artifacts, often bypassing existing defenses. Current model-scanning solutions primarily rely on static,...

Scalable Malware Family Classification Using Quantum Kernel Based Machine Learning

The classification of malware families is a key challenge in cybersecurity, which enables threat attribution, analysis of attack operations, and the formulation of effective defense strategies. Emerging malware samples are becoming increasingly structurally similar and obfuscated, making accurate...

SQL-Injection-Detection-System

SQL Injection Detection System A comprehensive full-stack web...

Evaluating and Combating the Impact of Concept Drift on the Performance of Machine Learning-Based Phishing Detection Systems

The expansion of the digital domain has resulted in a substantial increase in digital communication, with email emerging as one of the most prominent channels. The proliferation of email communication is apparent in both professional and personal contexts, thereby creating numerous vulnerabilitie...