HACKFORLAB Weekly Threat Intelligence Advisory · June 1-7, 2026 · 55,729 indicator observations across 91 adversary clusters · radar showing intelligence graph with crosshair locked on featured cluster · Silent Ransom, DPRK, VShell, Mirai infrastructure flood, AdaptixC2, VerdantBamboo
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Posted in Threat Intelligence

Weekly Threat Advisory: Top Cyber Adversaries, June 1 – 7, 2026

55,729 indicator observations across 91 adversary clusters this week — featuring Silent Ransom Group, DPRK-aligned activity, VShell, and a Mirai-class IoT seeder wave. Trend analysis, severity breakdown, detection recipes, and the platform to query it all.

HACKFORLAB Threat Hunting Playbook · June 1-7, 2026 · Hunt hypotheses, query patterns, detection engineering recipes · open-source C2 frameworks, Linux backdoors, helpdesk impersonation extortion, APT campaigns, supply chain worms, commodity RATs, IoT botnets
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Posted in Cyber Threat

The Threat Hunter’s Sigma Playbook: 7 Hunts Every Modern SOC Must Run

A 2026 threat hunting playbook with seven battle-tested Sigma rules, a MITRE ATT&CK coverage matrix, and success metrics for SOC analysts, threat hunters, and detection engineers. Hunt the techniques, not the indicators.

A Practical Detection Engineering Framework — 5-stage lifecycle from hypothesis to shipped rule used by modern SOCs · Hypothesis · Data · Logic · Validation · Metrics
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Posted in Cyber Threat

A Practical Detection Engineering Framework Used by Modern SOCs

A five-stage detection engineering framework — hypothesis, data inventory, logic, validation, metrics — with an AWS GuardDuty worked example, YAML rule template, and a failure-analysis playbook for noisy or silent detections.

What Cloud Logs You Actually Need to Hunt — log dependency map across AWS, Azure, and GCP for threat hunting · VPC Flow · CloudTrail · K8s Audit · coverage · blind spots
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Posted in Cyber Threat

What Cloud Logs You Actually Need for Threat Hunting (And Why Most Teams Fail)

A practitioner’s guide to the minimum viable cloud log set: CloudTrail, identity, DNS at tier one. Coverage matrix across AWS, Azure, GCP plus cost trade-offs.

How to Measure Detection Quality — precision, recall, MTTD, FP rate, SLO — metrics every detection engineer must track
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Posted in Cyber Threat

How to Measure Detection Quality: Metrics Every Detection Engineer Must Track

Precision, recall, F1, alert-fatigue math, ATT&CK saturation and a working scorecard template. The metrics every detection engineer must track — with formulas and a downloadable CSV.