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CYBERDUDEBIVASH SIEM Detection Rules — 2026 Enterprise Blueprint

Advanced Detection Engineering Techniques, High-Fidelity Analytics, and Elite SOC Playbooks for Modern Threats

Author: 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

Recommended Cybersecurity Courses & Tools

CyberDudeBivash Global Ecosystem

Main Hub: https://www.cyberdudebivash.com
Threat Intel: https://cyberbivash.blogspot.com
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#CyberDudeBivash #SIEMDetectionRules #ThreatIntelligence #DetectionEngineering #SOCOperations #RansomwareDefense #CloudIAMSecurity #ZeroTrust #SecurityAnalytics #AzureSentinel #ElasticSIEM #Wazuh #SplunkES #CyberDudeBivashApps #IncidentDetection

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