Cybersecurity, learned like a practitioner.
24 learning paths · 398 modules live · every lesson written by someone who has shipped the control or run the engagement. Free to start.
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Most recent practitioner playbooks across every track. Filter by topic, level, or search in the sidebar.
DCShadow — Stealth Domain Replication Abuse
Why this module exists. DCShadow is the textbook example of “stealth persistence”. An attacker with sufficient privileges does not need to keep dropping files, scheduling tasks, or modifying registry keys — they push the change into the directory itself via the replication protocol, and the change is now part of the canonical AD state. Defender […]
AD Trust Relationships Deep Dive — Forest, External, Shortcut
Why this module exists. AD has six distinct trust types. Each has different transitivity, SID Filtering defaults, Kerberos behaviour, and attacker-reachable abuse pattern. The median Indian-bank AD environment we audit has at least one trust whose properties the owning team cannot explain. This module is the missing reference. The six trust types — at a […]
LAPS Bypass & Local Admin Password Strategy
Why this module exists. Before LAPS, the canonical AD post-exploitation move was: dump the local Administrator hash from any workstation, then Pass-the-Hash to every other workstation in the estate. LAPS killed that move by making each machine’s password independent. But LAPS adoption is incomplete in Indian enterprises (typically 60-80% coverage in audits) and the ACLs […]
SID History Abuse & Cross-Forest Trust Attacks
Why this module exists. Forest trusts were Microsoft’s promise that the forest boundary was a hard security boundary. SID Filtering — enabled by default on external trusts since Windows Server 2003 — was the control that made the promise real. But every year, a new variation on SID-History abuse shows it is not as hard […]
AdminSDHolder & SDProp Persistence
Why this module exists. AdminSDHolder is one of the cleanest persistence primitives in AD because it abuses a feature, not a bug. Microsoft built SDProp to protect privileged accounts from accidental ACL drift. Attackers turned that protection into a self-healing backdoor. If you have ever seen an environment where the IR team cleaned up the […]
Building a Quantum Threat Model — STRIDE-Q, Data Classification, and the Indian Regulatory Frame
STRIDE-Q extends classical threat modeling with the time dimension (store-now-decrypt-later) and quantum-specific vectors. Framework for documenting quantum risk posture, audit-friendly artifact for board and Indian regulators. Module 20.
Quantum Reservoir Computing for SOC Anomaly Detection — Practical 2026 Pilots
Quantum Reservoir Computing (QRC) is the most-likely-to-ship quantum-ML technique for cybersecurity this decade. Hybrid classical-quantum anomaly detection, what works, what doesnt, deployment patterns. Module 19.
Quantum + AI Threat Models — Where Quantum Computing and Machine Learning Actually Meet
Quantum AI threats: cryptanalysis acceleration, ML model extraction, defensive applications. Separating credible threat from research speculation. The realistic 2026-2030 capability landscape. Module 18.
Isogeny-Based Cryptography — SIKE’s Death, CSIDH and SQISign Future, and the Lessons for PQ Migration
SIKE was a NIST PQ finalist broken in 2022 by Castryck-Decru — the cleanest cautionary tale in modern cryptography. Post-mortem, the surviving isogeny schemes (CSIDH, SQISign), and what to monitor going forward. Module 17.
Lattice Cryptanalysis — LLL, BKZ, Sieving, and the Best Attacks on ML-KEM and ML-DSA
Lattice cryptanalysis is what determines our long-term confidence in ML-KEM and ML-DSA. LLL polynomial-time approximation, BKZ block reduction, sieving algorithms, quantum lattice attacks. Where research could change the calculus. Module 16.
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