Detections

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

4,917 detections

This rule detects suspicious Okta login attempts where a user successfully passes the initial authentication factor but then fails or abandons a subsequent Multi-Factor Authentication (MFA) challenge, originating from a new IP address, device (user agent), and city combination. It filters out events from known corporate VPN IP addresses to reduce false positives.
avatar
tayvion payton@tayontech
avatar
Detections.ai Community
1 year ago
101149
Detects attempts to exploit a remote code execution vulnerability (CVE-2024-36401) in GeoServer. Attackers leverage crafted JXPath queries in WFS, WMS, or WPS requests to execute arbitrary commands via Java's getRuntime().exec() method.
avatar
Tim Peck@timpeck
avatar
Detections.ai Community
1 year ago
0216
Hunts for Office 365 emails that contain URLs of popular Monero exchanges or keywords related to Monero wallet addresses. This could indicate phishing attempts, scams, or other illicit activities.
avatar
Venona Front@venonafront
avatar
Detections.ai Community
1 year ago
3133
Detects suspicious activities in Salesforce environments consistent with the TTPs of the ShinyHunters threat group (also tracked as UNC6040/UNC6240). The attack involves social engineering (vishing) to trick users into authorizing malicious OAuth applications that impersonate legitimate tools like 'Salesforce Data Loader'. This rule looks for key indicators such as the installation of unreviewed packages, creation of impersonating connected apps, elevation of permissions to 'full' API access, and large data exports.
avatar
Matt Brady@mbrady5299
avatar
Detections.ai Community
1 year ago
95308
Detects a variety of post-exploitation techniques observed in attacks leveraging SonicWall vulnerabilities (CVE-2024-40766). These techniques are associated with the Akira ransomware group and include defense evasion, credential access, and data staging.
avatar
Aaron Mog@AaronMogS2S
avatar
Detections.ai Community
1 year ago
80142
Detects if multiple users logged into a single machine within the same day.
avatar
Mena Nabil@mena
avatar
Detections.ai Community
1 year ago
0136
Detects potential exploitation attempts against Ivanti Connect Secure devices for vulnerability CVE-2025-22457. This vulnerability is actively exploited in the wild. Attackers can send an abnormally long string composed of digits and periods in the 'X-Forwarded-For' HTTP header to trigger a stack-based buffer overflow, which can lead to remote code execution.
avatar
Tim Peck@timpeck
avatar
Detections.ai Community
1 year ago
1021
Detects potential exploitation of FortiWeb CVE-2025-25257, a pre-authentication SQL injection vulnerability. This rule identifies an SQL injection attempt against the '/api/fabric/device/status' endpoint, followed by either a suspicious Python file drop in a library directory or a request to a specific CGI script used to trigger the payload.
avatar
Aaron Mog@AaronMogS2S
avatar
Detections.ai Community
1 year ago
0022
This rule detects activities associated with the RomCom threat group, including exploitation of CVE-2025-8088 (WinRAR path traversal), COM hijacking for persistence, anti-analysis techniques (RecentDocs check), C2 communication, and suspicious WMIC execution, potentially linked to a Mythic agent.
avatar
R W@shiftyroot
avatar
Detections.ai Community
1 year ago
30111
Detects network traffic associated with the Tycoon and ODx phishing kits, which are used in Attacker-in-the-Middle (AiTM) phishing campaigns to bypass MFA. The rule identifies connections to known malicious domains, IP addresses, and specific URLs used by these kits.
avatar
Aaron Mog@AaronMogS2S
avatar
Detections.ai Community
1 year ago
2056
Detects suspicious SMB/NTLM activity triggered by explorer.exe following recent .lnk file creation by script engines. This behavior aligns with the CVE-2025-50154 bypass of Microsoft’s NTLM credential leak patch (CVE-2025-24054), allowing zero-click NTLM hash disclosure and remote binary staging without execution.
avatar
Michael Fajkus@MilesDyson
avatar
Detections.ai Community
1 year ago
11375
Detects when an application or service principal performs sensitive configuration changes, likely via the Microsoft Graph API. This can indicate an attacker using a compromised or malicious application for persistence (adding credentials), privilege escalation (adding owners), or defense evasion (modifying Conditional Access policies). This aligns with the "Consent & Compromise" research where attackers abuse application permissions.
avatar
R W@shiftyroot
avatar
Detections.ai Community
1 year ago
193267
This rule detects successful network connections from external (internet) IP addresses to common Industrial Control System (ICS) ports, such as Modbus (502) and EtherNet/IP (44818). This activity could indicate unauthorized access attempts, reconnaissance, or exploitation of internet-exposed ICS assets. The rule specifically filters for allowed/accepted/permitted connections and excludes connections from RFC 1918 private IP addresses and a configurable list of authorized external IPs.
avatar
R W@shiftyroot
avatar
Detections.ai Community
1 year ago
53124
This rule consolidates multiple detections related to a widespread malspam campaign delivering the Nova infostealer. It hunts for activity across email, network, DNS, and firewall logs associated with known malicious domains, IPs, and specific TTPs like suspicious archive attachments from impersonated brands.
avatar
R W@shiftyroot
avatar
Detections.ai Community
1 year ago
0150
Detects unusual domain resolutions originating from CScript/WScript that can identify malicious javascript files executing in an environment, often as a result from a phishing or watering hole attack.
avatar
SigmaHQ Detections@sigmaHQ
avatar
SigmaHQ
1 year ago
2029
Detects attempts to exploit CVE-2025-32433, a remote code execution vulnerability in the Erlang/OTP SSH daemon. The exploit involves sending SSH connection protocol messages (codes >= 80) before authentication is complete.
avatar
Matt Brady@mbrady5299
avatar
Detections.ai Community
1 year ago
1123
Adversaries often use malicious macros embedded in Office documents (Word, Excel) to execute payloads often spawning PowerShell, cmd, or LOLBins. This rule detects macro-triggered process chains indicative of weaponized documents.
avatar
Threat Scout@ThreatScout
avatar
Detections.ai Community
1 year ago
100105
This rule detects the creation of new Microsoft Power Automate flows that are configured to use connectors capable of exfiltrating data via email or collaboration platforms like Microsoft Teams. It specifically looks for flows created with connectors which could indicate an attempt to send sensitive information outside the organization.
avatar
Dylan Evans@decksy
Dexter's Laboratory
1 year ago
90177
This query identifies browser extensions with a low global prevalence, which could indicate a malicious or unwanted extension. It specifically looks for .crx files created in "Webstore Downloads" folders and enriches the data with file prevalence information.
avatar
John Bambenek@bambenek
avatar
Detections.ai Community
1 year ago
4183
This detection identifies interactive sign-ins from countries that a user has not accessed from in the past 30 days, based on successful logins. It highlights unusual geographic access patterns, such as remote work via VPNs, possible account compromise, or other travel-related anomalies.

Only interactive sign-ins are included to reduce noise from background service logins and token refreshes.

Recommended Extensions:

1. Trusted Applications Watchlist
Use a Sentinel watchlist (e.g., `TrustedAppsWatchlist`) to maintain known or expected applications (like SAP Cloud Identity Services, Microsoft Teams, Outlook Mobile) that frequently authenticate across multiple countries or devices. This helps suppress expected behavior and avoids alert fatigue.

2. Workation / Remote User Watchlist
Create a watchlist (e.g., `WorkationUsers`) with UPNs or user aliases of employees who are temporarily working abroad or from rotating locations. This allows legitimate, location-shifting activity to be filtered out of alerting, reducing false positives during travel seasons or flexible remote work arrangements.
avatar
Michael Fajkus@MilesDyson
avatar
Detections.ai Community
1 year ago
81102
Detects NTLM successful network logons where the source and destination workstations are the same, excluding loopback addresses. This behavior can be indicative of NTLM relay attacks where an attacker relays authentication from a victim to the victim's own machine, or other forms of NTLM abuse.
avatar
R W@shiftyroot
avatar
Detections.ai Community
1 year ago
53112
Page 167 of 235