Exploit for PHP Remote File Inclusion in Synacor Zimbra_Collaboration_Suite

CVE-2025-68645 — Zimbra Classic UI LFI Defender Pack This r...

[SECURITY] Fedora 43 Update: rust-ambient-id-0.0.8-1.fc43

Detects ambient OIDC credentials in a variety of environments...

SecCodePRM: A Process Reward Model for Code Security

Large Language Models are rapidly becoming core components of modern software development workflows, yet ensuring code security remains challenging. Existing vulnerability detection pipelines either rely on static analyzers or use LLM/GNN-based detectors trained with coarse program-level...

LLM-FS: Zero-Shot Feature Selection for Effective and Interpretable Malware Detection

Feature selection FS remains essential for building accurate and interpretable detection models, particularly in high-dimensional malware datasets. Conventional FS methods such as Extra Trees, Variance Threshold, Tree-based models, Chi-Squared tests, ANOVA, Random Selection, and Sequential...

The Role of Learning in Attacking Intrusion Detection Systems

Recent work on network attacks have demonstrated that ML-based network intrusion detection systems NIDS can be evaded with adversarial perturbations. However, these attacks rely on complex optimizations that have large computational overheads, making them impractical in many real-world settings. ...

When SPNs Go Rogue: Detection and Remediation with Trellix NDR

When SPNs Go Rogue: Detection and Remediation with Trellix NDR By Maulik Maheta and Henry Bernabe · February 10, 2026 Executive summary Service Principal Names SPNs are essential for Kerberos authentication in Active Directory AD, but misconfigurations, such as assigning SPNs to standard user...

Empirical Evaluation of SMOTE in Android Malware Detection with Machine Learning: Challenges and Performance in CICMalDroid 2020

Malware, malicious software designed to damage computer systems and perpetrate scams, is proliferating at an alarming rate, with thousands of new threats emerging daily. Android devices, prevalent in smartphones, smartwatches, tablets, and IoTs, represent a vast attack surface, making malware...

8 Top MDR Providers for Mid-Market Companies

Top 8 MDR providers for mid-market firms needing expert detection, faster response, and reduced noise without building full in-house SOCs...

Exploit for SQL Injection in Joomla Joomla\!

CVE-2017-8917 Joomla SQLi PoC This repository contains a simp...

Evasion of IoT Malware Detection Via Dummy Code Injection

The Internet of Things IoT has revolutionized connectivity by linking billions of devices worldwide. However, this rapid expansion has also introduced severe security vulnerabilities, making IoT devices attractive targets for malware such as the Mirai botnet. Power side-channel analysis has...

Vajra

⚡ Vajra ██╗ ██╗ █████╗ ██╗██████╗ █████╗ ██║...

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...