Vajra

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Analysis of active exploitation of SolarWinds Web Help Desk

The Microsoft Defender Research Team observed a multi‑stage intrusion where threat actors exploited internet‑exposed SolarWinds Web Help Desk WHD instances to get an initial foothold and then laterally moved towards other high-value assets within the organization. However, we have not yet confirm...

AirCatch: Effectively Tracing Advanced Tag-Based Trackers

Tag-based tracking ecosystems help users locate lost items, but can be leveraged for unwanted tracking and stalking. Existing protocol-driven defenses and prior academic solutions largely assume stable identifiers or predictable beaconing. However, identifier-based defenses fundamentally break do...

MemPot: Defending against Memory Extraction Attack with Optimized Honeypots

Large Language Model LLM-based agents employ external and internal memory systems to handle complex, goal-oriented tasks, yet this exposes them to severe extraction attacks, and effective defenses remain lacking. In this paper, we propose MemPot, the first theoretically verified defense framework...

CVE-2026-25762

AdonisJS is a TypeScript-first web framework. Prior to versions 10.1.3 and 11.0.0-next.9, a denial of service DoS vulnerability exists in the multipart file handling logic of @adonisjs/bodyparser. When processing file uploads, the multipart parser may accumulate an unbounded amount of data in...

CVE-2026-25762 AdonisJS vulnerable to Denial of Service (DoS) via Unrestricted Memory Buffering in PartHandler during File Type Detection

AdonisJS is a TypeScript-first web framework. Prior to versions 10.1.3 and 11.0.0-next.9, a denial of service DoS vulnerability exists in the multipart file handling logic of @adonisjs/bodyparser. When processing file uploads, the multipart parser may accumulate an unbounded amount of data in...

CVE-2026-25762

CVE-2026-25762 affects AdonisJS, specifically the @adonisjs/bodyparser multipart file handling logic. The vulnerability arises when the multipart parser processes file uploads, potentially accumulating an unbounded amount of data in memory while attempting to detect file types, leading to excessi...

CVE-2026-25762 AdonisJS vulnerable to Denial of Service (DoS) via Unrestricted Memory Buffering in PartHandler during File Type Detection

AdonisJS is a TypeScript-first web framework. Prior to versions 10.1.3 and 11.0.0-next.9, a denial of service DoS vulnerability exists in the multipart file handling logic of @adonisjs/bodyparser. When processing file uploads, the multipart parser may accumulate an unbounded amount of data in...

Exploit for Expression Language Injection in Siemens 6Bk1602-0Aa12-0Tp0_Firmware

ButtF - Backend Misconfiguration & Logic Flaw Exploitation Too...

Allocation of Resources Without Limits or Throttling

Overview @adonisjs/bodyparser is a BodyParser middleware for AdonisJS http server to read and parse request body Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling in the PartHandler class, during file type detection. An attacker can cause...

AdonisJS vulnerable to Denial of Service (DoS) via Unrestricted Memory Buffering in PartHandler during File Type Detection

Summary A Denial of Service DoS vulnerability CWE-400 exists in the multipart file handling logic of @adonisjs/bodyparser. When processing file uploads, the multipart parser may accumulate an unbounded amount of data in memory while attempting to detect file types, potentially leading to excessiv...

GHSA-XX9G-FH25-4Q64 AdonisJS vulnerable to Denial of Service (DoS) via Unrestricted Memory Buffering in PartHandler during File Type Detection

Summary A Denial of Service DoS vulnerability CWE-400 exists in the multipart file handling logic of @adonisjs/bodyparser. When processing file uploads, the multipart parser may accumulate an unbounded amount of data in memory while attempting to detect file types, potentially leading to excessiv...

Exploit for Argument Injection in Gnu Inetutils

CVE-2026-24061 GNU inetutils Telnet Detector A safe, passive...

📄 WordPress Wux Blog Editor 3.0.0 Vulnerability Scanner

This Metasploit auxiliary module scans WordPress sites for the External Post Editor plugin and checks for the unauthenticated file upload vulnerability that exists in version 3.0.0...

Next-Generation Cyberattack Detection with Large Language Models: Anomaly Analysis across Heterogeneous Logs

This project explores large language models LLMs for anomaly detection across heterogeneous log sources. Traditional intrusion detection systems suffer from high false positive rates, semantic blindness, and data scarcity, as logs are inherently sensitive, making clean datasets rare. We address...

Trojans in Artificial Intelligence (TrojAI) Final Report

The Intelligence Advanced Research Projects Activity IARPA launched the TrojAI program to confront an emerging vulnerability in modern artificial intelligence: the threat of AI Trojans. These AI trojans are malicious, hidden backdoors intentionally embedded within an AI model that can cause a...

Hydra: Robust Hardware-Assisted Malware Detection

Malware detection using Hardware Performance Counters HPCs offers a promising, low-overhead approach for monitoring program behavior. However, a fundamental architectural constraint, that only a limited number of hardware events can be monitored concurrently, creates a significant bottleneck,...

PT-2026-6811

Name of the Vulnerable Software and Affected Versions AdonisJS versions prior to 10.1.3 AdonisJS versions prior to 11.0.0-next.9 Description A denial of service DoS issue exists in the multipart file handling logic of the @adonisjs/bodyparser package. The multipart parser may accumulate an...

KRONE: Hierarchical and Modular Log Anomaly Detection

Log anomaly detection is crucial for uncovering system failures and security risks. Although logs originate from nested component executions with clear boundaries, this structure is lost when they are stored as flat sequences. As a result, state-of-the-art methods risk missing true dependencies...

ACORN-IDS: Adaptive Continual Novelty Detection for Intrusion Detection Systems

Intrusion Detection Systems IDS must maintain reliable detection performance under rapidly evolving benign traffic patterns and the continual emergence of cyberattacks, including zero-day threats with no labeled data available. However, most machine learning-based IDS approaches either assume...