Research ArticleThreat write-up enters the system
source_url
https://neroteam.com/blog/CVE-2025-67113
Article to detections
Initial accessExecution trailObservable artifacts
Detection Engineering For Zero-Days
Turn threat research into detection queries.
When a new threat emerges, security teams are expected to move before the telemetry, tooling, and vendor guidance have fully caught up. The platform helps your team turn early research into reviewable detections and validation-ready evidence faster.
Built for teams that need earlier coverage, clearer analyst review, and a cleaner handoff into the systems they already trust.
Built for the moment when exposure is public but evidence is still thin.
New advisories surface every day, often before defenders have enough telemetry or vendor detail to respond with confidence. Teams can start earlier with evidence-backed outputs they can validate and move into the tools they already trust.
Compiles to the platforms your team already runs
What security teams receive from the first submission.
The platform closes the gap between early threat research and a usable detection package, especially when the patch, tooling, or production logs are not ready yet. The result is faster review, cleaner validation, and a more controlled path into downstream operations.
Start with whatever the team has when a zero-day drops
Paste a short advisory, a longer write-up, or the source text you have at hand. The platform is designed for the messy early stage where the patch is not available and the telemetry story is still incomplete.
Generate synthetic logs when real logs do not exist yet
The core models likely attacker behavior and produces synthetic telemetry so defenders can reason about observables before the environment has seen enough real activity to validate against.
Generate and validate detections before they reach the SIEM workflow
It turns source material into Sigma, compiled backend queries, and validation artifacts that analysts can tune and then apply inside their existing SIEM or detection stack.
One operating flow for the first-response detection problem.
The workflow is simple on purpose: start from incomplete research, generate something useful quickly, then review, validate, and improve it as better information arrives.
Paste the advisory, write-up, or source text
When a new vulnerability appears, most teams do not start with a full lab, a patch diff, and perfect telemetry. They start with a few paragraphs and a deadline.
Model likely behavior and observables
The platform extracts attack behavior from the source, preserves grounding, and turns incomplete research into something defenders can actually work from.
Generate synthetic telemetry and candidate detections
The platform produces replayable logs plus Sigma and backend-ready queries so teams can move faster on initial coverage while research is still developing.
Validate, tune, and push into your existing workflow
Outputs stay packaged for analyst review with validation context, saved detections, exports, and share flows that support the handoff into the SIEM and detection workflow teams already use.
Why this outperforms waiting for perfect information.
The goal is not certainty on day one. The goal is giving security teams a faster starting point they can inspect, validate, and strengthen before promoting it into the rest of the detection stack.
Built to stay tied to source material
The core is designed around extraction, simulation, generation, and validation that map back to the source, which matters when teams are working from incomplete early research.
Designed to feed existing detection operations
It does not stop at a rough rule. The output includes synthetic logs, Sigma, compiled backend queries, validation context, and reviewable artifacts that teams can move into the tools they already operate.
Ready for analysts, teams, and managed delivery
The backend already supports runs, saved detections, reports, exports, invites, roles, billing, and share flows, so the product can fit real operating teams instead of one-off demos.
Built for teams measured on coverage, not just analysis.
When new vulnerabilities are landing every day, defenders need a way to move from raw research to initial coverage faster, even when the first pass still needs analyst review and validation.
Coverage before perfect information exists
Built for the uncomfortable window where a new vulnerability is public, the patch is late, and the security team still needs something actionable immediately.
Faster first drafts for detection engineering
Instead of waiting for full reverse engineering or mature telemetry, teams can start from threat research and get candidate logs and detections they can validate, review, and improve.
Validation support, not SIEM replacement
The goal is not to replace a detection platform or SIEM. The goal is to help SOC and detection engineering teams create and validate better content before it is deployed there.
Choose the workflow that matches the evidence on hand.
Some teams start from a short advisory. Others already have logs. Others only need to validate an existing query before pushing it into production. Each of those starting points is already supported.
Article to detections
Paste a vulnerability advisory or threat write-up and turn it into attack context, synthetic telemetry, Sigma, compiled queries, and validation outputs for downstream use.
Telemetry to detections
When the logs already exist, build detections from actual observed evidence instead of recreating the problem from scratch.
Telemetry only
Generate modeled telemetry for teams that need replay material, engineering support, or early validation inputs before broader coverage is available.
Query validation
Bring an existing query and measure whether it actually covers the behavior the team cares about before it lands in the SIEM or curated production library.
Support the teams shipping detection work in live operations.
The platform is the product. Services exist to help teams roll it out, harden content, and turn early generated outputs into something operationally useful.
Article to detection for zero-days and early write-ups
When a vulnerability drops and the team only has a short advisory, blog post, or exploit write-up, the workflow turns that source into synthetic telemetry plus candidate detection content so analysts can start earlier.
Source to synthetic logs for analyst review and replay
Not every engagement needs a production query immediately. It can stop at telemetry generation so teams get realistic replay material, engineering inputs, and something concrete to validate against.
Logs to detection when the evidence already exists
If the customer or internal team already has telemetry, the workflow can start from logs and generate detection logic grounded in what was actually observed instead of rebuilding the scenario from scratch.
Query validation using synthetic or supplied logs
Bring an existing detection query, validate it against generated or observed telemetry, and use the output to decide whether the detection is ready for promotion into the SIEM or curated detection library.
Move from early research to controlled detection coverage faster.
Security teams can respond before the patch cycle, reverse engineering, or production telemetry fully catch up. Build earlier coverage, validate it with more confidence, and move it into the systems you already run.