Threat Intelligence

// OPERATIONAL THREAT INTELLIGENCE

Threat intelligence operators actually use

A continuously refreshed catalogue of adversary infrastructure, indicators, techniques, and CVE-to-IOC links — engineered for SOC analysts, threat hunters, and detection engineers. No marketing. No tabletop guesswork. Just observed adversary behaviour.

// At a glance
Multi-million
Indicators
Thousands of
Adversaries
Hundreds of
CVEs linked
Real-time
Cluster discovery

Every indicator carries provenance, confidence score, severity, MITRE technique mapping, and the campaign or adversary cluster it belongs to.

Multi-millionIndicator catalogue
3.1M+Unique observables
Thousands ofAdversary catalogue
Hundreds ofCVEs linked
Real-timeCluster discovery
// Why this layer exists

The threat-intelligence problem the platform solves

Most threat-intelligence programs fail in one of two places. Either they accumulate so many feeds that nobody can tell which signal matters, or they pay for a high-quality feed but lack the operational pipe to turn it into detection. HACKFORLAB addresses both. The catalogue is curated — feeds are evaluated for false-positive density, source diversity, and corroboration depth before they contribute to confidence scoring. The operational pipe is built in — every indicator carries enough metadata for downstream automation, every export format aligns with how SIEM and SOAR tools actually consume data.

What you get is not a wire of unfiltered IOCs. It is a curated catalogue with structure: provenance per indicator, confidence per indicator, MITRE technique per indicator, geographic targeting per indicator, industry context per indicator, linked CVE per indicator where applicable, and the adversary cluster the indicator belongs to. Indicators without this structure are noise; indicators with it are signal.

// Four pillars of the intelligence layer

What you get when you sign in

Every IOC carries provenance, confidence, severity, MITRE technique mapping, geographic targeting, and the campaign or adversary cluster it belongs to. Built to integrate cleanly with your SIEM, EDR, SOAR, or detection-as-code pipeline.

01

Live IOC Feed

Indicator atoms — IPs, domains, URLs, hashes, emails, processes — enriched with confidence score, severity, category, and timestamps. Streams via API or scheduled export. Change-log feed exposes deltas the moment they land in the catalogue.

Browse the feed →

02

Adversary Catalogue

Thousands of distinct adversary clusters tracked, from nation-state operators to commodity malware families and bulletproof-host operators. Each profile is built from observed indicator atoms, MITRE technique frequency, and target geography distribution — recomputed continuously.

See adversary profiles →

03

MITRE Technique Mapping

Every campaign and IOC tagged against MITRE ATT&CK Enterprise. Tactic coverage matrix, top-technique frequency, and per-technique hunt recipes. Coverage maps that reflect what adversaries do, not what threat reports estimate.

See MITRE coverage →

04

CVE-to-IOC Linking

Hundreds of unique CVEs cross-referenced to active exploitation. Surfaces which vulnerabilities adversaries are actually weaponising right now — patching priority that reflects field signal, not CVSS scoring alone.

Browse CVE-linked campaigns →

// Provenance, confidence, freshness

How every indicator is qualified

Provenance. Every indicator carries its source feed identifier. When the catalogue says an IP is associated with a specific malware family, you can trace that assertion back to the original observation — sandbox detonation, OSINT report, commercial feed, sinkhole telemetry. No black-box scoring. No “trust us, it’s bad.”

Confidence. Indicators are scored on a zero-to-one-hundred scale derived from source reputation, corroboration across independent feeds, recency, and category fit. A score of ninety means multiple high-reputation sources agree and the observation is recent. A score of forty means one source reports it, recency is questionable, and corroboration is absent. SOC tooling can threshold against this scale rather than treat all indicators as equally trustworthy.

Freshness. Every indicator carries first-seen and last-seen timestamps, plus a categorical freshness tag — “active this cycle”, “decayed”, “historical”. An IP active this cycle is one to block. An IP decayed from six months ago is one to monitor for re-emergence, not actively block. The distinction matters in production environments where false-positive cost is real.