Priority Objective: Alpha

The Mission:
Unmasking the Kernel

Bridging the architectural gap between raw assembly and actionable security intelligence. KernelSight records what a kernel read or write primitive actually defeats, on a stated build and CPU.

The Methodology

database

1. Telemetry Ingestion

Continuous monitoring of signed driver submissions to WHQL and public repositories.

memory

2. Pattern Recognition

Automated IOCTL heuristic analysis to identify insecure memory access patterns and privilege escalation vectors.

hub

3. Dated Verdicts

Mapping shared code signatures across manufacturers to identify hidden supply chain risks.

Core Principles

Why security researchers trust the KernelSight dataset.

Precision

Bit-accurate analysis of kernel-space transitions and instruction-level profiling.

Integrity

Cryptographic validation of every indexed driver to ensure data provenance.

Depth

Deep-dive disassembly that goes beyond metadata into the logic of driver implementation.

Built for Engineers

KernelSight integrates with your existing forensic workflow. Direct access to a reference whose coverage is a computed ratio rather than a claim.

Terminal , bash
$ ks-cli scan --target=win32kbase.sys
Analyzing heuristics...
Found 2 vulnerable IOCTL handlers. Mapping to CVE-2024-XXXX...