You've found the operator's side of cybersecurity — where raw telemetry meets structured analysis. Whether you're triaging alerts at 2 AM or reverse-engineering a loader on a Saturday, this space was built for you.
What Is DFIR Lab?
DFIR Lab is an independent research platform focused on digital forensics, incident response, and threat intelligence — built by practitioners, for practitioners.
This isn't a news aggregator. Every piece of content here is grounded in hands-on work: real honeypot data from our own sensors, IOC enrichment from live threat feeds, detection rules tested against actual log samples, and analysis written with the operator's workflow in mind.
We bridge the gap between raw threat data and actionable intelligence.
What You'll Find Here
Threat Intelligence Briefings
Daily and weekly briefings that synthesize the threat landscape into something you can act on. Each briefing pulls from multiple sources — RSS feeds, CVE databases, CISA KEV, abuse.ch, and our own honeypot telemetry — and distills them into prioritized, severity-rated intelligence items.
No filler. No marketing. Just what matters for defenders.
Honeypot Telemetry & Live Attack Data
We operate production honeypots (Cowrie SSH/Telnet and Dionaea multi-protocol) that capture real-world attack traffic 24/7. Credential stuffing patterns, lateral movement attempts, malware uploads, and command sequences — all fed through our enrichment pipeline and published as research.
When we write about an attack technique, we show you the raw events.
Detection Engineering
Sigma and YARA rules developed alongside our research. Each rule is validated, tested against sample logs, and mapped to MITRE ATT&CK. We publish conversion-ready rules for Elastic, Splunk, and other platforms — because a detection that only lives in a blog post isn't a detection at all.
IOC Enrichment & Analysis
Indicators of compromise enriched across seven threat intelligence providers — VirusTotal, AbuseIPDB, Shodan, OTX, URLscan, and the abuse.ch ecosystem. We publish enriched IOCs with full context: verdicts, threat scores, provider consensus, and MITRE technique mappings.
Deep-Dive Research
Long-form analysis of malware families, threat actor TTPs, forensic artifacts, and emerging attack patterns. Each research piece includes structured data — IOC tables, detection rules, MITRE mappings — that you can extract and operationalize directly.
Our Approach
Every claim is backed by evidence. Our honeypots generate the telemetry. Our enrichment pipeline scores the indicators. Our detection rules are tested against real logs. We publish the data alongside the analysis so you can verify, extend, and adapt.
Precision over volume. We'd rather publish one well-researched piece than ten surface-level summaries. Every article is written with the assumption that you know what a PCAP is and don't need TLS explained.
Operator-first. Content is structured for the people who actually sit in the SOC, run the hunt queries, and write the detection logic. Structured IOCs, exportable rules, and MITRE mappings are first-class citizens — not afterthoughts.
Open methodology. We document our tooling, our enrichment pipeline, and our analysis workflow. Transparency isn't a feature — it's the baseline.
Stay Connected
You can subscribe to our threat intelligence newsletter to receive briefings directly in your inbox — no spam, no marketing, just curated intelligence on the cadence you choose.
Every briefing is also available as an RSS feed for integration with your existing workflow.
DFIR Lab is a living platform. New capabilities — automated malware analysis, expanded detection coverage, and deeper OSINT integration — are in active development. The best way to stay informed is to subscribe and follow along as we build.
Welcome to the lab. Let's get to work.