Category: Detection Engineering
Articles tagged Detection Engineering
Linux Detection Engineering - Local Privilege Escalation
Seven of the thirteen Linux privilege escalation CVEs we tracked in 2026 turned out to be the same copy-on-write bug pointed at different kernel interfaces. We ran the public proof-of-concept for eleven exploits and two misconfigurations, and noted which rules fired.
How to correlate Kubernetes audit logs with container runtime data
Two fields join the Kubernetes API to what ran inside the pod, and one turns up a container escape your process events never recorded.
REVSTEALER ramps up: analysis of up-and-coming infostealer
Elastic Security Labs deep dives into REVSTEALER, an emerging infostealer targeting browsers, wallets, and gaming accounts.
Linux Detection Engineering - Fileless Execution
We reproduced five Linux fileless execution patterns with FENIX, including memfd_create staging, interpreter one-liners, deleted binaries, and in-memory kernel module loads, then mapped each to the Elastic Defend rules that catch it.
From 88 lines to 1: Detecting DLL hijacking with Elastic Defend
The ClickFix campaign that sideloads a malicious mscoree.dll also ships a driver to kill Elastic Endpoint. We rebuilt that DLL as a NativeAOT library, dropped it beside a signed Microsoft binary, and Elastic Defend 9.5.0 flagged the load.
Exploring the Hugging Face Breach: mapping AI agent tactics to Elastic Defend
Every stage of the Hugging Face breach maps to Elastic Defend and SIEM rules already shipping, from worker RCE and credential harvest to self-migrating C2 and GenAI detection.
Detecting Tycoon 2FA AiTM attacks across Entra ID and Google Workspace
Tycoon 2FA bypasses MFA on Entra ID and Google Workspace. We map telemetry fingerprints across both platforms, ship detection rules for both tiers, and contain incidents in under 10 seconds with Elastic Workflows.
CI/CD pipeline abuse: the problem no one is watching
How we built an open-source, drop-in CI template that uses signal extraction and LLM reasoning to catch CI/CD abuse in GitHub Actions, GitLab CI, and Azure DevOps pipelines.
Beyond Behaviors: AI-Augmented Detection Engineering with ES|QL COMPLETION
Learn how Elastic's ES|QL COMPLETION command brings LLM reasoning directly into detection rules, enabling detection engineers to build intelligent alert triage without external orchestration.
Misbehaving Modalities: Detecting Tools, Not Techniques
We explore the concept of Execution Modality and how modality-focused detections can complement behaviour-focused ones.
AWS SNS Abuse: Data Exfiltration and Phishing
During a recent internal collaboration, we dug into publicly known SNS abuse attempts and our knowledge of the data source to develop detection capabilities.
Linux Detection Engineering - The Grand Finale on Linux Persistence
By the end of this series, you'll have a robust knowledge of both common and rare Linux persistence techniques; and you'll understand how to effectively engineer detections for common and advanced adversary capabilities.