Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
2,982 detections
Filters
Last updated
All Time
Detection languages
1,486
513
403
239
167
Contributors
986
658
304
198
109
Categories
916
822
673
590
452
Platforms
39,960
7,270
6,537
3,867
3,651
2,982
Products / Services
1,229
703
443
309
200
MITRE Techniques
1,053
824
459
384
348
CVEs
17
16
16
10
10
IDS Classtypes
24
7
7
4
3
IDS Protocols
49
1
Detects incoming emails containing suspicious legal-themed subjects (e.g., subpoenas, copyright infringement) from Gmail domains that include shortened URLs (e.g., bit.ly, goo.gl). The rule also checks for successful SPF or DKIM authentication results, which are common in mass phishing campaigns to bypass initial spam filters.
Detects potential SearchLeak (CVE-2026-42824) prompt-to-parameter injection in Microsoft 365 Copilot Enterprise. The rule monitors for search operations containing URL-encoded characters, HTML/JS injection payloads, or anomalous long query strings that indicate a malicious attempt to influence search results or exfiltrate data.
Detects outbound proxy requests to the Bing Search-by-Image endpoint where the imgurl parameter is used to perform a server-side request forgery (SSRF). Attackers use this to bypass security controls by forcing Microsoft services to fetch an external, malicious URL containing exfiltrated data within the path, as seen in the SearchLeak (CVE-2026-42824) exploit chain.
Detects a suspicious pattern where a user successfully authenticates via MFA, followed by another successful sign-in attempt for the same account within 10 minutes using a different IP address or user agent. This behavior is often indicative of session hijacking or adversary-in-the-middle (AiTM) attacks where a session token is stolen and replayed from an attacker-controlled environment.
Detects outbound requests to the Bing 'searchbyimage' endpoint where the 'imgurl' parameter points to an external (non-trusted) domain. This pattern is indicative of potential SSRF exploitation, such as the described SearchLeak (CVE-2026-42824) vulnerability chain, where an attacker uses Bing's search functionality as a proxy to reach internal or restricted infrastructure.
Detects a critical authentication bypass in SimpleHelp servers (CVE-2026-48558) where an adversary leverages a forged OIDC identity token. The rule identifies the sequence of an unverified OIDC response, the failure to issue an MFA session token, successful group-level authentication without a challenge, and the subsequent registration of an unauthenticated '[New Anon]' identity.
This rule detects a potential MFA fatigue attack by identifying users who experienced a high volume of denied MFA requests (5 or more) followed by at least one successful authentication within a 15-minute window across Okta and Azure Active Directory platforms.
Detects suspicious modifications to GitHub Actions workflows, such as unauthorized file overwrites, commits by bot impersonation identities (e.g., dependabot, renovate), or the upload of sensitive artifacts like 'format-results.txt'. These activities are indicative of IronWorm-style attacks targeting CI/CD pipelines to exfiltrate secrets via build artifacts.
Detects high-volume data access or exfiltration from Azure/Office 365 cloud environments via common scripting/automation user-agents. The rule monitors API requests to users, mail, drive, or files endpoints by non-standard clients (e.g., python, curl, Go) from previously unseen locations, calculating a risk score based on the number of endpoints accessed and the total data volume.
This rule monitors ServiceNow API traffic for high-volume requests originating from unauthenticated or guest accounts, particularly outside of standard business hours. It uses time-windowed aggregation to detect potential brute force, unauthorized scanning, or enumeration attempts against the ServiceNow platform.
Detects messages sent within Microsoft Teams from an external tenant that contain potentially malicious indicators, such as URL shorteners, external links, or references to executable file extensions. This rule is designed to identify potential spearphishing or social engineering attempts originating from external Microsoft 365 tenants.
Detects unauthenticated requests directed at ServiceNow Scripted REST Resource endpoints, specifically targeting path segments like '/api/now/related_list_edit/create' or general '/api/now/' paths. The rule looks for transaction activity identified as 'Guest' user or lacking necessary authorization headers, potentially indicating exploitation of ServiceNow platform vulnerabilities.
Detects anomalous, high-volume API requests to ServiceNow endpoints originating from the same source IP that lack valid authorization headers or session tokens, potentially indicating automated scanning, enumeration, or exploitation attempts.
This rule detects anomalous, high-frequency HTTP POST requests directed at sensitive API endpoints related to payment, billing, or administration. By calculating requests per minute and identifying unique source IP behavior, it aims to flag potential automated brute-force attacks, unauthorized API discovery, or data exfiltration attempts against critical system management interfaces.
This rule detects two suspicious activities within a user's mailbox: (1) An email flood, where a recipient receives more than 500 emails within a 5-minute window, potentially indicating an attempt to overwhelm or hide secondary emails; and (2) The creation or modification of inbox rules that include actions like deleting or moving messages, which is a common persistence and evasion technique used by attackers to hide C2 or phishing communications.
This rule detects the exploitation of CVE-2026-48558 in SimpleHelp, where an OIDC authentication bypass allows unauthenticated attackers to forge identity tokens. The lack of cryptographic signature verification permits the registration of unauthorized, privileged Technician accounts, effectively bypassing MFA. The detection logic monitors for specific log patterns indicating OIDC response processing followed by technician account registration and configuration changes.
This rule detects network activity indicating a potential modification or interaction with Microsoft Entra ID (Azure AD) multifactor authentication (MFA) settings. Specifically, it looks for POST requests to the Microsoft Graph API targeting authentication methods (e.g., phoneAuthenticationMethod), which may be indicative of an attacker modifying MFA settings to bypass security controls or register rogue authentication devices.
This rule detects exploitation attempts against Microsoft 365 Copilot (CVE-2026-42824) where attackers inject HTML or malicious prompt sequences into the 'q' query parameter. These payloads aim to perform prompt injection, SSRF via Bing, and cross-site scripting to exfiltrate sensitive data such as mailbox content and MFA tokens.
Detects anomalous bulk data access activity within SharePoint or OneDrive where the Microsoft Copilot application is the primary interface. This activity pattern is consistent with SearchLeak-style organizational permission abuse, where an AI assistant may be used to discover and access a large number of distinct files that a user might not otherwise access manually.
Detects potential data exfiltration from Microsoft 365 Copilot sessions where the Bing 'Search by Image' functionality is abused as an SSRF proxy. The rule identifies network requests containing external URLs within the 'imgurl' parameter, occurring shortly after Copilot activity, suggesting that internal or sensitive data (such as emails, calendar items, or MFA context) is being transmitted to an unauthorized external endpoint.
Detects anomalous account enumeration attempts by monitoring Azure AD Sign-in logs for a high volume of '50034' error codes (invalid username) originating from a single IP address within a short time window. This behavior is often indicative of an adversary attempting to identify valid user accounts within the environment.
Page 104 of 142