Detections

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

4,917 detections

This rule identifies accounts that have been assigned administrative roles within the environment. It helps assess exposure risk by focusing on identities with elevated permissions, supports attack surface reduction by auditing role assignments, and enables proactive threat hunting for potential misuse of admin privileges.
avatar
Subash Ghimire@iamsubashg
avatar
Detections.ai Community
1 year ago
0083
This rule identifies users who clicked on URLs within emails from a specific sender. It correlates email events, URL information, and URL click events to pinpoint which users interacted with links in emails, particularly useful for tracking responses to potential phishing attempts from a compromised account.
avatar
Subash Ghimire@iamsubashg
avatar
Detections.ai Community
1 year ago
3080
This rule identifies inbound emails that have been delivered to the organization's email domain and are categorized as 'Phishing' by the email security system. It specifically looks for phishing indicators within the email's attachment or body. The query then summarizes the count of such emails by their URL domain, sorting them to highlight the most frequent phishing domains. The accompanying Python script demonstrates how to cross-reference these identified URL domains with VirusTotal for further analysis.
avatar
Subash Ghimire@iamsubashg
avatar
Detections.ai Community
1 year ago
1078
This rule detects inbound emails where the sender's domain contains "microsoft" but does not end with "microsoft.com". This is a common tactic used in phishing attacks to spoof legitimate Microsoft domains, tricking recipients into believing the email is from a trusted source.
avatar
Subash Ghimire@iamsubashg
avatar
Detections.ai Community
1 year ago
3076
This rule identifies suspicious email attachments based on their file type (e.g., executables, scripts) or if they exceed a defined size threshold. It aims to detect potential data exfiltration or the delivery of malicious files via email.
avatar
Subash Ghimire@iamsubashg
avatar
Detections.ai Community
1 year ago
2075
This rule identifies and analyzes user interactions with URLs embedded in emails, specifically focusing on emails that are either inbound or intra-organizational. It determines which users clicked on URLs within these emails and provides a summary of this activity. This analysis is particularly useful in security contexts, where understanding user behavior regarding potentially risky links can help in identifying phishing attacks or other malicious activities.
avatar
Subash Ghimire@iamsubashg
avatar
Detections.ai Community
1 year ago
5167
This detection specifically flags credentials being added to the Connect Sync Application in Entra ID, a technique known to have persistance from On-premise AD DS to Entra ID. It tries to look at both certificate, client secret, and federated credentials being added, and tries to remove legitimate renewal processes. Since the legitimate renewal process first adds a new certificate only te remove the old one short after, we by default allow for a maximum of 1 minute between the certificate create and delete events.
avatar
Robbe Van den Daele@RobbeVdDaele
avatar
Detections.ai Community
1 year ago
1091
This rule identifies emails originating from sender addresses listed in a GitHub-hosted CSV file, which is explicitly named 'North-Korean-Emails'. The rule's purpose is to flag incoming emails that appear to be sent from individuals or entities associated with North Korea, based on the provided list of email addresses. This could indicate potential phishing, espionage, or other malicious activities originating from North Korean threat actors.
avatar
Stiaan van der Watt@st1aan
avatar
Detections.ai Community
1 year ago
6265
This rule identifies all enabled service accounts in the environment. The goal is to audit the state of service accounts to identify unused or stale accounts, ensure only necessary service accounts are active, reduce the attack surface, and support compliance and security posture assessments. While not directly detecting malicious activity, it provides crucial visibility for security hygiene and can help identify potential accounts that could be abused by adversaries for persistence or defense evasion.
avatar
Subash Ghimire@iamsubashg
avatar
Detections.ai Community
1 year ago
0060
This rule detects PowerShell activity on user workstations within 30 minutes of receiving an email from a known malicious sender. It aims to identify potential post-compromise activity initiated by a successful phishing attempt.
avatar
Subash Ghimire@iamsubashg
avatar
Detections.ai Community
1 year ago
4052
This analytic detects activity associated with "Static Tundra" threat actor abuse of the Cisco Smart Install (SMI) protocol using Cisco Secure Firewall Intrusion Events. It leverages Cisco Secure Firewall Threat Defense IntrusionEvent logs to identify occurrences of Smart Install exploitation and protocol abuse, including denial-of-service and buffer overflow attempts. The detection triggers when multiple Cisco Smart Install-related Snort signatures are observed in a short period from the same source, which is indicative of active exploitation or reconnaissance against Cisco devices that expose SMI.
Splunk Security@SplunkSecurity
avatar
Splunk Security Content
1 year ago
0035
This rule detects Tycoon and ODx AiTM phishing activity that bypasses MFA. It matches:

🔹 Network connections to known malicious domains, IP addresses, and URLs.
🔹 Email-URL clicks and Azure AD sign-in events involving those domains or specific malicious application IDs.
🔹 Sign-ins originating from suspect IP addresses or user-agent strings.
avatar
Aamir Muhammad@Aamir
avatar
Detections.ai Community
1 year ago
202209
This detection flags any changes happening on the Connect Sync Application in Entra ID. Since this is a very interesting account for attackers to abuse when moving laterally between AD DS and Entra ID, any change to the account should be investigated. We try to exclude legitimate certificate renewal processes, and a new account onboarding in the detection rule.
avatar
Robbe Van den Daele@RobbeVdDaele
avatar
Detections.ai Community
1 year ago
1067
Detects the execution of an application from a mounted disk image (DMG) with a name known to be used by Odyssey Infostealer. This activity is indicative of initial access, where the user has been tricked into running a malicious application masquerading as a legitimate software installer or updater.
avatar
Drew Pilarski@barnabysDrew
avatar
Detections.ai Community
1 year ago
0226
This detection rule identifies potential exploitation attempts of CVE-2024-36401, a JXPath injection vulnerability in GeoServer. Attackers can send malicious WFS, WMS, or WPS requests to achieve remote code execution. The rule looks for common GeoServer service paths and request types combined with Java code execution strings in web server or network logs.
avatar
Aaron Shelmire@ashelmire
avatar
Detections.ai Community
1 year ago
0132
This rule identifies all service accounts in the environment by querying IdentityInfo logs. The goal is to audit the state of these accounts, helping to identify unused or stale service accounts (especially if disabled), ensure only necessary service accounts are active to reduce the attack surface, and support compliance and security posture assessments. This rule does not detect malicious activity but rather provides an inventory for security auditing.
avatar
Subash Ghimire@iamsubashg
avatar
Detections.ai Community
1 year ago
1046
This query hunts for files shared by a specified malicious sender on user devices. It identifies if attachments from emails sent by the malicious sender have been downloaded, saved, or are present on the user's devices by joining email attachment information with device file events based on the SHA256 hash of the attachment.
avatar
Subash Ghimire@iamsubashg
avatar
Detections.ai Community
1 year ago
1041
Detects potential Remote Code Execution (RCE) on a FortiWeb device, possibly related to CVE-2025-25257. The rule correlates a suspicious web request to a potential 'fabric' endpoint with a subsequent shell or utility process launch by the web server process on the same device.
avatar
Aaron Mog@AaronMogS2S
avatar
Detections.ai Community
1 year ago
0028
Detects payloads associated with the exploitation of GeoServer vulnerability CVE-2024-36401. This rule identifies both the initial shell script downloaders and the subsequent Dart-based ELF executables.
avatar
Matt Brady@mbrady5299
avatar
Detections.ai Community
1 year ago
2017
Detects attempts to exploit FortiWeb Pre-Auth SQL Injection leading to Remote Code Execution (CVE-2025-25257) via the /api/fabric/device/status endpoint. The rule specifically looks for SQL injection payloads, including boolean-based and INTO OUTFILE techniques, within the Authorization header of HTTP requests.
avatar
Aaron Mog@AaronMogS2S
avatar
Detections.ai Community
1 year ago
1060
Detects indicators of compromise (IOCs) and suspicious OAuth consent activity
linked to the Tycoon/ODx phishing kits. These campaigns impersonate Microsoft
OAuth apps to bypass MFA and harvest Microsoft 365 credentials.
avatar
Aryan Aryan@felon1337
avatar
Detections.ai Community
1 year ago
112126
Page 166 of 235