SQL Injection Detection: A Defensive Guide
How to detect SQL injection across web, app, and database telemetry — with Sigma, Suricata, and SPL rules, a CVE-2025-1094 case study, and tuning tips. Lab-only.
Read the analysis$ defensive security research · lab-only
darkpwn is a defensive security research publication: how real attacks work, what they leave behind, and the detections and hardening that stop them. Hardware hacking, detection engineering, and CTF analysis from a working lab — written for defenders, authorization-only.
How to detect SQL injection across web, app, and database telemetry — with Sigma, Suricata, and SPL rules, a CVE-2025-1094 case study, and tuning tips. Lab-only.
Read the analysisZero trust microservices detection. Find east-west movement via new service-pair edges, workload identity drift, and Kafka abuse, with SPL and KQL analytics.
Secrets detection that finds leaked credentials first. Git history, CI logs, and container layers, with pattern and entropy analytics plus a rotation-first runbook.
Credential stuffing detection that finds what hides under per-IP thresholds. Success-rate inversion, low-and-slow campaigns, and ATO signals in SPL and KQL.
Supply chain attack detection in CI/CD. Build-time egress, dependency drift, and artifact provenance, with Sigma and SPL analytics plus hermetic-build hardening.
Session hijacking detection after MFA. Refresh-token reuse, device drift, and impossible travel, with SPL, KQL, and Sigma analytics plus a triage runbook.
How to write YARA rules for incident response — durable signatures that survive a packer change, scanning files and memory, and tuning false positives.
How attacks work — so defenders can stop them
BrowseRF, RFID, and implants on the bench
BrowseSigma, YARA, Suricata that actually fire
BrowseWrite-ups that teach the underlying primitive
BrowseThe defender and researcher toolchain
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