Geopolitics and the SOC: When "War" Hits the Log Server
Just read the "We Are At War" piece on Hacker News. It’s sobering stuff. The idea that the post-1945 stability is fracturing in the digital realm isn't news to us, but the intensity is ramping up. We aren't just dealing with script kiddies looking for a payout anymore; we're facing adversaries whose goal is destruction and chaos (e.g., the CanisterWorm locale-based wiping we've been tracking).
So, how does a SOC adjust when the stakes shift from "financial loss" to "infrastructure collapse"? I've been moving our focus away from commodity malware signatures and toward behavioral anomalies typical of APTs. Specifically, detecting the precursors to destructive data wiping.
Here is a KQL query I’m deploying to catch suspicious process execution patterns often seen right before lateral movement or destruction:
DeviceProcessEvents
| where Timestamp > ago(12h)
| where FileName in~ ("vssadmin.exe", "wmic.exe", "bcdedit.exe", "fsutil.exe")
| where ProcessCommandLine has_any ("delete", "shadowcopy", "resize", "shrink")
| project DeviceName, FileName, ProcessCommandLine, InitiatingProcessAccountName, Timestamp
| order by Timestamp desc
On the endpoint side, we're aggressively hunting for persistence mechanisms. This PowerShell one-liner helps spot tasks that might be staging wipers or backdoors:
Get-ScheduledTask | Where-Object {$_.Actions.Execute -match "(cmd|powershell|pwsh)" -and $_.Author -notlike "*Microsoft*"} | Select-Object TaskName, Author, Actions, TaskPath
The article claims we are in the middle of it. Are we actually ready? How is your team shifting priorities from standard security hygiene to active defense against state-level threats?
Solid query, but be careful with false positives on vssadmin. In a strictly controlled environment, it's gold, but in orgs with legacy apps, admins often mess with shadow copies manually. We wrapped a similar rule in a Logic App that requires a secondary confirmation before auto-containment to avoid nuking a sysadmin's troubleshooting session.
You can't have a discussion about modern 'cyber warfare' without mentioning the supply chain. Look at what happened with the LiteLLM backdoor or the TeamPCP incidents. The war isn't just at the firewall; it's already inside your requirements.txt or GitHub Actions. We started mandating SBOM validation for every deploy.
The 'war' terminology drives budget, which is good, but the solution is boring: Offline backups. If we see a variant of something like the Oracle IdM RCE (CVE-2026-21992) getting weaponized for wipers, all the detection in the world won't save you if your SAN is mounted and encrypted. Air-gap your recovery or lose the war.
Valid point on backups, Priya, but in K8s environments, we also need to watch the control plane. Destructive attacks often manifest as rapid namespace deletions. We focus on detecting abnormal API call volumes. I set up alerts for high-velocity delete requests, which usually precedes a 'wiper' payload execution.
kusto KubeAuditLogs
| where Verb == "delete"
| project TimeGenerated, User, ObjectRef
| summarize Count = count() by User, bin(TimeGenerated, 5m)
| where Count > 10
Valid points. We had to pivot our philosophy from 'preserve evidence' to 'contain immediately.' Destructive malware doesn't wait for a manual approval queue. We've integrated automated segmentation triggers for high-risk behaviors. We also deploy honeytokens in our Active Directory to detect lateral movement before the wiping phase begins. If a honeytoken is accessed, it triggers an immediate 'break-glass' lockdown. Has anyone else experimented with sacrificial assets to slow down the attackers?
To act on that containment philosophy, we started hunting for precursors. Destructive malware often attempts to stop critical services—like AV or databases—before encrypting or wiping. We monitor for mass service terminations using this KQL logic. Catching the stop command before the deletion process starts buys you those critical seconds to trigger the segmentation automatically.
SecurityEvent
| where EventID == 7036
| where ServiceState contains "stopped"
| summarize count() by Computer, bin(TimeGenerated, 30s)
| where count_ > 5
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