Bivash Nayak
04 Dec
04Dec


 
Author: CyberDudeBivash

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CYBERDUDEBIVASH SIEM Detection Rules — 2026 Enterprise Blueprint

Advanced Detection Engineering Techniques, High-Fidelity Analytics, and Elite SOC Playbooks for Modern ThreatsAuthor: CyberDudeBivash Detection Engineering Division

Hub: https://www.cyberdudebivash.com

Introduction

Security Information and Event Management (SIEM) systems are no longer log collectors — they are the intelligence core of enterprise defense. From identity compromise to lateral movement, from deepfake social engineering to AI-powered malware, every modern intrusion leaves behind detectable behavioral indicators. The CyberDudeBivash Detection Engineering Division has developed a comprehensive suite of SIEM detection rules designed for 2026 threat actors, ransomware groups, cloud identity abuse, and high-frequency AI-driven phishing operations. This article provides a complete blueprint of CyberDudeBivash SIEM Detection Rules mapped to real adversary TTPs, MITRE ATT&CK matrices, and enterprise-grade behavioral analytics models. These rules apply across:

  • Microsoft Sentinel (KQL)
  • Elastic SIEM (EQL)
  • Wazuh / OSSEC
  • Google Chronicle
  • Splunk Enterprise Security
  • Custom self-hosted SIEM stacks

This is a threat intelligence–driven, high-value detection ruleset built to catch real-world adversaries, not lab simulations.


1. Identity Compromise Detection Rules

Identity is the new perimeter. Attackers now target credentials, tokens, refresh keys, OAuth flows, and SAML assertions instead of brute-force logins.

Microsoft Sentinel: Suspicious Token Replay Detection

SigninLogs

| where ResultType == 0

| where Status.additionalDetails contains "token_replay"

| project UserPrincipalName, IPAddress, AppDisplayName, DeviceDetail

Elastic SIEM: Impossible Travel with Privileged Roles

sequence by user.id with maxspan=5m

  [authentication where geo.src_country != "previous" and event.outcome == "success"]

  [authentication where network.geo != "previous" and event.outcome == "success"]

Wazuh: Unauthorized SUDO Access Attempt

 5402 sudo authentication failure SUDO authentication failure — possible credential abuse

2. RDP Abuse & Lateral Movement Detection Rules

RDP hijacking, session duplication, and token manipulation continue to dominate ransomware entry points.

Sentinel: Suspicious RDP Session Reconnection

SecurityEvent

| where EventID == 4778

| where Account has "admin" or Account has "svc"

| where IPAddress !in ("trusted ranges")

Elastic: Winlogon Child Process Anomaly (Token Theft)

process where process.parent.name == "winlogon.exe" and

process.name not in ("userinit.exe", "explorer.exe")

Wazuh: Unexpected Session Switching

 windows Logon Type:\s+7 Possible RDP session hijack detected

3. Cloud IAM Attack Detection Rules

Modern attackers exploit cloud refresh tokens, metadata APIs, identity federation, and misconfigured IAM roles.

Sentinel: Suspicious OAuth Grant Creation

AuditLogs

| where ActivityDisplayName == "Add OAuth2PermissionGrant"

| where InitiatedBy.user != "automation"

Chronicle: GCP Service Account Abuse

principal.email ends_with "@gserviceaccount.com"

and NOT ip.src in VPC ranges

Elastic: AWS AssumeRole Misuse

aws.cloudtrail where eventName == "AssumeRole"

and user.identity.type == "Unknown"

4. Ransomware Behavioral Detection Rules

CyberDudeBivash ransomware detection standards focus on behavior, not signatures. These detect early-stage attacks before encryption begins.

Sentinel: Mass File Rename Activity

DeviceFileEvents

| summarize count() by bin(Timestamp, 1m)

| where count_ > 1500

Elastic: Unusual LSASS Access Attempt

process where process.name in ("powershell.exe","cmd.exe")

  and file.access == "lsass.exe"

Wazuh: Encryption Extension Spike

 \.(locked|encrypted|pay|lockedfile)$ Suspicious ransomware file extension detected

5. AI-Generated Phishing & Social Engineering Detection Rules

AI-powered phishing now uses multilingual generative engines, human-like persuasion structures, and social-media scraping.

Sentinel: AI-Generated Bulk Email Pattern

EmailEvents

| where EmailLanguageConfidence < 0.2

| where UrlCount > 3

| where SenderDomain not in OrgDomains

Elastic: Domain Newly Registered + Suspicious Outreach

dns where query.newly_registered == true

and network.transport == "tcp"

and destination.domain != trusted

6. DFIR-Oriented SIEM Detection Rules

These rules help uncover persistence, backdoors, lateral movement, and covert command channels.

Sentinel: Suspicious Scheduled Task Creation

DeviceProcessEvents

| where FileName == "schtasks.exe"

| where ProcessCommandLine contains "/create"

| where InitiatingProcessAccountName != "SYSTEM"

Elastic: Reverse Shell Detection

process where

  process.name == "bash" and

  process.args : "*tcp*"

Wazuh: Netcat Listener Monitoring

 nc -l Potential reverse shell listener created

Download CyberDudeBivash Detection Packs

Our enterprise-grade SIEM detection packs include:

  • Ransomware Behavior Pack
  • AI-Phishing Detection Pack
  • Cloud IAM Misuse Pack
  • RDP Hijack Detection Pack
  • Linux Kernel Exploit Pack

Download: https://www.cyberdudebivash.com/apps-products


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Hashtags

#CyberDudeBivash #SIEMDetectionRules #ThreatIntelligence #DetectionEngineering #SOCOperations #RansomwareDefense #CloudIAMSecurity #ZeroTrust #SecurityAnalytics #AzureSentinel #ElasticSIEM #Wazuh #SplunkES #CyberDudeBivashApps #IncidentDetection 


Download CyberDudeBivash SIEM Detection Rules PDF here .

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