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Advanced Detection Engineering Techniques, High-Fidelity Analytics, and Elite SOC Playbooks for Modern ThreatsAuthor: CyberDudeBivash Detection Engineering Division
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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:
This is a threat intelligence–driven, high-value detection ruleset built to catch real-world adversaries, not lab simulations.
Identity is the new perimeter. Attackers now target credentials, tokens, refresh keys, OAuth flows, and SAML assertions instead of brute-force logins.
SigninLogs | where ResultType == 0 | where Status.additionalDetails contains "token_replay" | project UserPrincipalName, IPAddress, AppDisplayName, DeviceDetail
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"]
5402 sudo authentication failure SUDO authentication failure — possible credential abuseRDP hijacking, session duplication, and token manipulation continue to dominate ransomware entry points.
SecurityEvent
| where EventID == 4778
| where Account has "admin" or Account has "svc"
| where IPAddress !in ("trusted ranges")process where process.parent.name == "winlogon.exe" and
process.name not in ("userinit.exe", "explorer.exe") windows Logon Type:\s+7 Possible RDP session hijack detectedModern attackers exploit cloud refresh tokens, metadata APIs, identity federation, and misconfigured IAM roles.
AuditLogs | where ActivityDisplayName == "Add OAuth2PermissionGrant" | where InitiatedBy.user != "automation"
principal.email ends_with "@gserviceaccount.com" and NOT ip.src in VPC ranges
aws.cloudtrail where eventName == "AssumeRole" and user.identity.type == "Unknown"
CyberDudeBivash ransomware detection standards focus on behavior, not signatures. These detect early-stage attacks before encryption begins.
DeviceFileEvents | summarize count() by bin(Timestamp, 1m) | where count_ > 1500
process where process.name in ("powershell.exe","cmd.exe")
and file.access == "lsass.exe" \.(locked|encrypted|pay|lockedfile)$ Suspicious ransomware file extension detectedAI-powered phishing now uses multilingual generative engines, human-like persuasion structures, and social-media scraping.
EmailEvents | where EmailLanguageConfidence < 0.2 | where UrlCount > 3 | where SenderDomain not in OrgDomains
dns where query.newly_registered == true and network.transport == "tcp" and destination.domain != trusted
These rules help uncover persistence, backdoors, lateral movement, and covert command channels.
DeviceProcessEvents | where FileName == "schtasks.exe" | where ProcessCommandLine contains "/create" | where InitiatingProcessAccountName != "SYSTEM"
process where process.name == "bash" and process.args : "*tcp*"
nc -l Potential reverse shell listener createdOur enterprise-grade SIEM detection packs include:
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Download CyberDudeBivash SIEM Detection Rules PDF here .