Every tip, guide, tutorial, deep dive and field note — in one place.
Spyware, banking trojans and sideloaded RATs — how modern mobile malware lands on a device, the tools that detect it, and the habits that keep you off the target list.
AiTM kits, QR 'quishing' and callback scams beat old training. What actually lowers real risk: phishing-resistant auth, a detonation layer on the inbox, and drills that mirror current tradecraft.
SPL patterns, accelerated data models and tstats tricks that turn a slow, noisy Splunk into a near-real-time detection engine — with snippets you can paste in today.
Deploying an EDR is easy; making it stop attacks without drowning analysts is the work. Staged prevention policy, environment-specific custom detections, and real-time response done right.
The flags, scan policies and capture filters that separate a fast, accurate assessment from a slow, noisy one — three heavy tools chained into one discovery-to-evidence loop.
The workflow I actually follow on a network + Active Directory engagement — scoping, recon, exploitation, lateral movement, reporting and retest — with the tools and a sanitized findings sample.
REST and GraphQL APIs fail on authorization and business logic far more than on injection. The workflow, the tooling, and a sanitized sample of what usually comes back.
Static analysis, Frida instrumentation, pinning bypass, local storage and the backend tie-in — the mobile engagement workflow and a sanitized findings sample.
Where an LLM genuinely speeds up offensive and defensive work — code review, SPL generation, deobfuscation, YARA drafting — where it confidently lies, and a sample of what it surfaced on real reviews.
A practical checklist to lock down AWS, Azure and GCP workloads before attackers find the gaps.
How indirect prompt injection turns helpful AI into an attacker tool — and how to defend against it.
From the first SIEM alert to incident closure — what L1/L2/L3 actually looks like in practice.
Unpacking obfuscated stage-1 malware and extracting IOCs the right way.
Beyond the scanner — custom extensions, intruder payloads, and out-of-band tricks for real engagements.
Guardrail strategies, red-team patterns, and why most "safe" prompts are still breakable.
Automated subdomain discovery, fingerprinting and vulnerability triage that finds bugs while you sleep.
From a single pod compromise to full cluster takeover — the chains every defender must understand.
Practical hardening that closes the attack paths red teams actually use.
How to write detections that catch real attackers without drowning the SOC in false positives.
BOLA, broken auth, mass assignment — the API bugs that show up on every engagement and how to test for them.
What zero trust actually looks like in a mid-size company — identity, device posture, and segmentation that ship.
iOS and Android static + dynamic testing, from cert pinning bypass to insecure storage and IPC abuse.
Why TOTP and SMS keep getting bypassed — and the FIDO2 rollout playbook that finally stops AiTM kits.
Stop the .env sprawl: practical patterns to kill hardcoded keys without rewriting your stack.
From typosquats to malicious maintainers — how to lock down npm, PyPI and container dependencies.
Distroless, non-root, read-only filesystems and the runtime controls that actually stop escapes.
Honest notes on alert fatigue, on-call rotations, and the cultural changes that keep good analysts.
A pragmatic plan for new heads of security — what to measure, what to ignore, what to ship.
What this year's leaked playbooks tell us about initial access, dwell time and double extortion patterns.
Tool-using LLM agents create new privilege paths — here's how to model and test them.
From one-off IOCs to a tunable detection corpus your SOC can run on every file in the estate.
Collection, ingestion and the Cypher queries I run on every internal engagement.
Where eBPF actually wins for runtime security — and where the marketing oversells it.
Direct syscalls, indirect syscalls, unhooking, hardware breakpoints — what red teams ship and what catches it.
From signature-based AV and rule-based SIEMs to autonomous agents on both sides of the fight — a decade-in-review and what's next.
Harvest-now-decrypt-later is real. Here's the practical roadmap for moving to ML-KEM and ML-DSA without breaking production.
From employee footprints to leaked credentials — the open-source recon that turns into a phishing pretext or an initial-access plan.
Why most purple team exercises end in a slide deck instead of a shipped detection — and how to fix that.
Employees are pasting source code and customer data into public chatbots. Here's the DLP and policy stack that actually stops it.
No budget, no new headcount — the fastest wins for locking down whatever LLM features your team already shipped.
From AI-assisted C2 frameworks to auto-weaponized N-days — a look at what's trading on criminal forums this year.
Rate limits and prompt filters aren't enough anymore — the architecture for a real defense layer in front of your models.
From a forensically sound disk image to a defensible timeline — running a real investigation and data recovery with the open-source Autopsy platform.
Extracting a phone, cracking the encrypted container, and analyzing everything in one timeline — how three forensic tools chain together on a real case.
For VAPT engagements, SOC consulting, AI/LLM security assessments, cloud reviews, incident response retainers or training collaborations — let's build a defensible stack together.