Ravin Academy:  A pressure front moves across industrial networks with a rhythm that mirrors geopolitical tension. Iranian training material from Ravin Academy offers a window into that rhythm and reveals how a state-linked program shapes operators who understand far more than standard OT defense. The document reads like a field manual for specialists who study legacy device fragility, understand the tempo of offshore platforms, and script logic paths for PLC families that run petrochemical and energy assets across the region.

This is not an adversary simulation. It is a malware-building cookbook with no intelligence value, no analytic rigor, and extremely dangerous methodological flaws. From a Treadstone 71 Intelligence Lifecycle perspective, this document fails at: Phase 1: No targeting logic, no mission objective, no adversary analysis Phase 2: No OPSEC, no tradecraft, no persona integrity, massive legal exposure Phase 3: Zero source validation, zero CRAAP, heavy copy-paste from public writeups…

Based on the syllabus of the world's top courses ISSMP, CISM, CCISO, MIT university HAUMOUN IONEERS CISO Course Outline Provider of the Security and Governance Consulting Unit of Hamoon Information Technology Pioneers Company www.haumoun.com Call center via WhatsApp and yes: 09902857290 این کورس‌اوتلاین، ساختار کلی قابل قبولی برای یک CISO «نظری» دارد (گاورننس، ریسک، قانون، کلود، فرهنگ، AI). اما اگر هدف شما تربیت CISO عملیاتی و جنگ‌دیده است، همین سرفصل به‌تنهایی کافی نیست.

Federal funding for the election security ISACs did not just lapse. Senior leaders made a deliberate choice to cut off the Multi-State ISAC (MS-ISAC) and the Elections Infrastructure ISAC (EI-ISAC), long the main conduit for free threat intel, 24/7 monitoring, and hands-on support for state and local election offices. Every serious adversary just logged that move as a green light.

The advanced artificial intelligence developed by BlackTechX, inspired by WormGPT, designed to push the boundaries of natural language processing. 🎯 Features: ⚪️ Strong AI conversations: All questions will be answered smoothly.⚪️ Broken AI: It can do anything you want !! Hacx-GPT-mainDownload

The analysis of asymmetric security threats begins with a fundamental cognitive friction—the inherent human aversion to instability and non-linearity. Beyerchen’s observation cuts to the core of this challenge- human culture prizes stable and linear concepts- making the acceptance and comprehension of phenomena described by words like asymmetric- inequity- and inconsistency deeply unsettling. This tendency toward cognitive comfort creates a vulnerability in security analysis- where the human inclination is to seek predictable- symmetrical threats- leading to systemic failures in anticipating unstable and novel attack vectors.

Hybrid warfare presents a formidable challenge to national security, functioning as a sophisticated strategy of systemic destabilization. Analysis of the provided description reveals a method relying on the identification and exploitation of a target state's vulnerabilities using a combined set of tools. The core pattern is asymmetric application of pressure below the threshold of conventional armed conflict, aiming for strategic gains while maintaining plausible deniability.

Two VB.NET modules form a paired lab that explains a full shellcode story from loader to defender. ShellcodeLoaderConcept walks through the three classic steps of in-memory code execution. ShellcodeDefenseConcept then reframes the same API sequence from an EDR point of view and marks each function call as a detection and intervention hook. Together they describe a clear offensive–defensive interaction around low-level Windows memory and thread APIs.

The code models an educational Chrome infostealer that gathers the minimum browser artifacts an attacker needs to rebuild saved passwords and cookies off the victim machine. --- High-level function and intent The program runs as a console application named InfostealerSimulator. It targets one user context on Windows: LocalApplicationData\Google\Chrome\User Data\Local State LocalApplicationData\Google\Chrome\User Data\Default\Login Data The program creates a staging folder on C:\Stolen_Browser_Artifacts, copies those two artifacts into that folder, then explains the remaining attack stages (exfiltration and decryption) as out-of-process follow-on actions.

The paper describes a Windows persistence method that abuses a weak signature validation path in OneDrive support binaries and DLL search behavior. The method focuses on a user-level hijack of FileCoAuthLib64.dll so that a malicious DLL executes under FileCoAuth.exe, launched indirectly by svchost.exe, without any signature check. --- Targeted components and design weakness DarkBit focuses on the OneDrive client stack under the per-user path:

A defensive security monitor emerges from the code: an EDR-style sensor that tracks hostile attempts to access Chrome’s master-key file (Local State) and responds with rapid containment logic. The program models the behavior of lightweight user-mode telemetry components found in commercial EDR suites. It focuses on early-stage credential-theft detection, particularly the first step in any Chrome infostealer chain: reading the encrypted master secret.

The assembly implements a full bind shell over TCP on port 4444 that resolves all Windows APIs dynamically, avoids null bytes, and spawns cmd.exe with stdin, stdout, and stderr redirected over the socket. The shellcode prepares itself for injection in a process, finds kernel32.dll without imports, discovers networking and process-creation functions through export-table parsing, then opens a listening socket and hands full command execution to a remote operator.