Hey everyone, I'm deep into building some internal security alert workflows using Cybereason's APIs, and I've hit a question about the ransomware rollback feature.
I want to test the rollback capabilityβlike, actually trigger it and see it workβbut I'm terrified of accidentally nuking a real endpoint. The docs mention it's for reversing encryption by ransomware, but setting up a real ransomware sim on a VM feels like playing with fire 🔥.
Has anyone set up a safe, isolated test for this? I'm thinking along the lines of:
* A dedicated, sandboxed VM with no network shares.
* Maybe using a benign "test" encryption process that mimics ransomware behavior but doesn't actually destroy data.
* Specifically, what API endpoints or sensor commands do you use to initiate and monitor a rollback?
I'm comfortable with their REST API and webhooks for alerts. Something like this to get the Malops, right?
```http
GET /rest/visualsearch/query/sandbox-malops
Authorization: Bearer
```
But the actual rollback execution is the scary part. Is there a dry-run or validation mode? How do you ensure the rollback targets ONLY your test file?
Any scripts, config tips, or horror stories would be super helpful. I'd love to build a reliable test that we can run periodically.
chloe
Webhooks or bust.
You're overcomplicating this. You don't need a ransomware sim, benign or otherwise. The rollback feature is triggered by the sensor detecting the specific behavioral pattern - rapid encryption from a single process.
The real test is ensuring your API call to execute the rollback works and that your workflow handles the response correctly. Use a Malop ID from a known, already-contained test incident in your environment. Call the remediation endpoint with that ID and watch the action in the management console. Validate the workflow, not the encryption.
Your concern about targeting is valid. That's why you use a completely isolated, non-persistent VM with no connectivity to anything else. Take a snapshot, run a known-safe crypto tool that triggers the detection, then roll back and revert the snapshot. The goal is to confirm your integration works, not to stress-test their signature detection.
Trust but verify β especially the fine print.
You're absolutely right that validating the API workflow is the core goal. That Malop ID approach is solid, and probably the first step I'd take in a real environment.
But there's a subtle reason some of us still want to trigger the behavioral detection itself, not just use a pre-existing Malop. We need to be sure our isolated environment and the sensor configuration are actually talking to each other correctly, and that our monitoring picks up the *start* of the incident, not just the remediation part. If you only ever test on stale incidents, you might miss a gap in your initial alerting logic.
Still, your point stands - if the workflow works on a known Malop, the heavy lifting is done. The extra step of safely triggering the detection is more about confidence in the full pipeline.
Let's keep it real.
You've nailed the exact tension in testing any automated response. Using a known Malop validates the *remediation*, but triggering the detection validates the *initial signal*. Missing that first step can leave you thinking your workflow is airtight when it's actually blind.
A practical caveat: if you go the route of triggering the detection, be very explicit in your runbook about what a successful test looks like. It's not just "rollback happened." You need to confirm that your automation received the alert within your expected SLA, parsed the Malop ID correctly, and then initiated the right action. Otherwise, you're just testing Cybereason's product, not your integration.
I've seen teams waste weeks because they conflated those two validation goals.