Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

1,225 detections

This rule detects network connections or DNS queries to known phishing domains (typosquatted Microsoft login domains), DeadDrop Resolver domains, and suspicious HTML payloads served from common CDN/package hosting sites (e.g., unpkg.com, npmmirror.com, cdn.jsdelivr.net, yarnpkg.com). These patterns are indicative of initial access attempts via phishing or the secondary stage of malware C2 communication.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
000
This rule detects potential malicious activity where a process attempts to communicate over DNS over HTTPS (DoH) using common public resolvers (e.g., Google DNS) while simultaneously establishing persistence via Windows Registry 'Run' keys. It excludes common, legitimate applications known to use DoH, focusing on unexpected processes. The detection relies on correlating network events (DoH to known public resolvers) with registry modification events occurring within a 30-minute window of the network activity.
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F S@Fsdr
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Detections.ai Community
2 months ago
709
This rule monitors DNS queries and network connection events for interactions with a list of domains associated with the Kali365 infrastructure. It flags activity by identifying both direct matches and subdomains associated with 'ssengineers.com' and 'clientengagenow.de', often used in phishing or C2 communications.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
2 months ago
001
This rule monitors web server logs (IIS, W3C, and Azure Application Gateway) for incoming traffic that matches known malicious or automated vulnerability scanners, as well as requests for common system fingerprinting paths (such as /server-status or /.git/config). The rule aggregates these hits by source IP address to identify potential active reconnaissance or vulnerability scanning attempts.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
3010
This rule retrieves security anomaly events generated by Microsoft's identity protection or behavioral analysis systems for a specific user account over a defined time range. It leverages the 'Anomalies' table within Microsoft Sentinel to surface identity-related insights, activity patterns, and flagged risks.
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Shadows VMB@Vemorian_Mort
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Detections.ai Community
2 months ago
2028
Detects new Microsoft Teams chats created by external unmanaged Microsoft accounts, identified by a .cid. prefixed UserId, targeting internal users. It is intended to identify possible impersonation, social engineering, or BEC-style activity.
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Tun Tun Naing@tuntun
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Detections.ai Community
2 months ago
17024
Tracks changes and activities affecting a specific user account across both on-premises Active Directory and Microsoft Entra ID. The query combines Windows Security Events and Entra ID Audit Logs into a single timeline, making it easier to investigate account modifications, privilege changes, MFA updates, directory synchronization activity, and administrative actions impacting a user.

This detection is particularly useful during incident response, insider threat investigations, account compromise assessments, and user lifecycle reviews
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Udi B@Udi
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Detections.ai Community
2 months ago
32042
This rule monitors for the execution of Node.js processes involving a file named 'parser.js' and a component or argument referred to as 'ldata'. This behavior is characteristic of specific application workflows, but when observed as a standalone or unusual process, it may indicate unauthorized script execution or the activity of a malicious node-based tool.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
2 months ago
000
Detects successful device code authentication flows from users who have not utilized this authentication method within the past 14 days. This rule monitors Entra ID (Azure AD) sign-in logs and non-interactive logs, enriching results with Intune device compliance data and authentication protocol details to assist in identifying anomalous access patterns that may indicate credential abuse or device-code phishing.
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Rudra Verma@Rudraverma
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Detections.ai Community
2 months ago
7041
Identifies devices with software versions affected by CVE-2026-45321 or devices running TanStack related packages identified via vulnerability management and software inventory data.
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Montaser Ismail@M0nt3x
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Detections.ai Community
2 months ago
001
Detects session hijacking activity characteristic of the Mirage2FA AiTM (Adversary-in-the-Middle) phishing toolkit. The rule identifies non-interactive authentication events (token reuse) that lack an MFA challenge, occurring shortly after interaction with a known malicious phishing proxy domain. It further correlates this activity with anomalous signals, such as impossible travel or the use of an unseen device/user-agent, to confirm high-fidelity malicious intent.
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Duo Tech@duotech
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Detections.ai Community
2 months ago
19027
Finds Microsoft Sentinel analytics rules that generate high volumes of non-actionable closed incidents. The query calculates false positive, benign positive, undetermined, and true positive rates per rule, then provides practical tuning recommendations to help SOC and detection engineering teams reduce alert fatigue.
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Udi B@Udi
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Detections.ai Community
2 months ago
6010
Detects successful device code authentication flows from users who have not utilized this authentication method within the past 14 days. This rule monitors Entra ID (Azure AD) sign-in logs and non-interactive logs, enriching results with Intune device compliance data and authentication protocol details to assist in identifying anomalous access patterns that may indicate credential abuse or device-code phishing.
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Rudra Verma@Rudraverma
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CyberHawk Consultancy
2 months ago
307
A host repeatedly queries the same DNS domain within a short period, which may indicate automated command-and-control beaconing.
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Vashrith Vinodh@Vash
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Detections.ai Community
2 months ago
4016
Correlates Microsoft Sentinel Security Alerts and Security Incidents associated with a specific user account over a 90-day period. The query identifies medium and high-severity alerts, maps them to their corresponding incidents, and provides investigation outcomes including classification, closure details, and ownership information.

This detection enables analysts to quickly understand a user's historical security exposure, determine whether previous incidents were resolved appropriately, and identify patterns of recurring security activity.
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Udi B@Udi
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Detections.ai Community
2 months ago
306
Detects successful Microsoft Entra RoleManagement activity where a member is assigned permanently to a role outside of Privileged Identity Management (PIM). This is flagged as a privileged access risk because it bypasses just-in-time eligibility and activation controls.
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Lucas Pinho@lucaslapinho
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Detections.ai Community
2 months ago
10010
Correlates Microsoft Entra identity risk detections with subsequent password changes, MFA registrations, and security information modifications. Helps identify potential account compromise scenarios where authentication methods or credentials are altered after suspicious sign-in activity.
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Udi B@Udi
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Detections.ai Community
2 months ago
305
Detects completed administrative actions within the Cortex management console that result in a pause of endpoint protection. This action reduces security coverage on the targeted host and requires validation to ensure it aligns with authorized maintenance, troubleshooting, or incident response activities.
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Lucas Pinho@lucaslapinho
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Detections.ai Community
2 months ago
908
Identifies Microsoft Sentinel scheduled analytics rules that have executed successfully over a specified period but have never produced any query results.

The query reviews Microsoft Sentinel health telemetry and highlights rules that consistently execute without generating matching events. These rules may represent outdated detections, unused content, environmental mismatches, incorrect data source assumptions, or opportunities for detection engineering review.

This query helps SOC and detection engineering teams reduce maintenance overhead, improve content quality, and identify candidates for retirement or redesign.
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Udi B@Udi
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Detections.ai Community
2 months ago
104
Provides a role-centric view of Microsoft Entra Privileged Identity Management (PIM) usage by correlating role eligibility, activation history, and recently activated assignments.

The query helps security and identity teams understand:
Which privileged roles have the most eligible users.
Which roles are actively being used.
Which roles are rarely or never activated.
Which users currently hold activated privileged access.
How broadly privileged roles are distributed across the organization.

This is useful for privilege governance reviews, role rationalization, least-privilege initiatives, and identifying over-provisioned privileged access.
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Udi B@Udi
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Detections.ai Community
2 months ago
203
Detects the creation of new domain user accounts using the 'net user /add /domain' command. This activity can be indicative of an adversary establishing persistence or escalating privileges within a Windows domain environment.
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Barsha Sketh@Barshasketh
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Detections.ai Community
3 months ago
5014
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