Detections

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

1,666 detections

This rule detects an unusual number of local or remote interactive logons (LogonType 2 or 10) by the 'SYSTEM' account within a one-hour window. While the SYSTEM account is legitimate, direct interactive logons are rare and multiple occurrences could indicate an attempt to escalate privileges or maintain persistence by an attacker.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
Detects a successful self-service password reset for a privileged or high-value account when the initiating context does not match an approved helpdesk workflow. This could indicate an attacker attempting to gain access to an account by resetting its password without proper authorization.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
107
This rule detects successful sign-ins using the OAuth 2.0 Device Code Flow. This flow is often abused in phishing attacks (device code phishing) where an attacker tricks a user into authenticating a malicious application. A successful sign-in using this method could indicate a compromised account or a successful phishing attempt.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
203
Detects potential Browser-in-the-Middle (BitM) session hijacking by identifying scenarios where a single user account authenticates successfully from multiple geographically distinct external IP addresses within a short (10-minute) window, suggesting a parallel session is being used by an attacker.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
102
Detects suspected Browser-in-the-Middle (AiTM) activity by identifying successful multi-factor authentication followed by session activity from a different source IP address or with a different user-agent string within a 10-minute window, suggesting token theft or session hijacking.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects successful Device Code authentication followed immediately by a new device registration, a tactic used to extend access via PRT generation. This behavior is indicative of an attacker using a stolen device code to register a new device, thereby gaining persistent access to the user's account.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
208
Detects anomalous logins (impossible travel/session anomalies) utilizing the Kali365 Live desktop application User-Agent combined with IP shifting. This rule identifies instances where a user logs in with the 'kali365-live/1.0.0' User-Agent from an IP address different from a previous successful login by the same user within a 4-hour window, where the previous login used a different User-Agent.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
308
This rule detects modifications to SSH authorized_keys files on Linux-based SD-WAN controllers, or successful SSH public key authentication events involving the vmanage-admin user, including attempts to identify authentication from unexpected source IP addresses.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Correlates a successful login from RedVDS infrastructure followed immediately by massive internal directory reconnaissance (e.g., SharpHound execution). This rule detects when an account logs in from a RedVDS IP address and then within an hour executes a process associated with BloodHound or SharpHound for Active Directory reconnaissance.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
206
Detects a session issued through browser MFA and subsequently used through a non-interactive, mobile, or command-line client. This behavior is indicative of an adversary potentially using a stolen session token to bypass multi-factor authentication.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
106
Detects a non-interactive sign-in using an existing session shortly after the user completes interactive MFA, which can indicate stolen token replay. This rule identifies scenarios where a user successfully completes an interactive multi-factor authentication (MFA) sign-in, and then, within a short time frame (1800 seconds or 30 minutes), a non-interactive sign-in occurs for the same user and session ID. This pattern is indicative of a stolen session token being replayed by an attacker, bypassing subsequent MFA prompts.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
106
Detects successful sign-ins to specific Azure AD applications known to bypass Conditional Access policies, where Conditional Access was not applied. This could indicate an attempt to circumvent security controls.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
004
Detects the creation of a Temporary Access Pass (TAP) by a service principal or agent identity, rather than a human administrator. This scenario indicates a potential compromise where a Temporary Access Agent with UserAuthMethod-TAP.ReadWrite.All permission is abused to generate a TAP for a Global Administrator.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
5013
Monitors Cisco SD-WAN (vManage, vBond, vSmart) appliance logs for authentication events against management accounts. It specifically identifies logins from known malicious IP addresses associated with threat actor activities and flags anomalous authentication methods such as PAM/keyboard-interactive and unvalidated administrative access.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
This rule monitors Cisco SD-WAN logs (vManage, auth, and syslog) for suspicious administrative activity including credential manipulation, unauthorized password changes, successful vManage-admin SSH logins, and potential configuration exfiltration via vManage API calls.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects the modification of sensitive banking or payment election records (e.g., direct deposit details) in Workday or similar HR SaaS platforms shortly after a user login event from the same source IP. This behavior is consistent with 'Payroll Pirate' style attacks where adversaries use stolen session tokens (via AiTM phishing) to redirect employee salary payments.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects anomalous SSH lateral movement originating from the Cisco SD-WAN Manager (vManage) to other control plane components (vSmart/vBond). This rule correlates network connections on port 22 with successful SSH logins using privileged or service-related accounts, which is indicative of potential post-exploitation activity or pivoting within an SD-WAN control plane environment.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Identifies successful device code authentications originating from non-trusted named locations. This can indicate an attempt to bypass multi-factor authentication or compromise an account through device code phishing.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
6112
Detects anomalous authentication patterns where a single source IP address exhibits multiple failed login attempts followed by at least one successful login within a 10-minute time window, indicative of credential stuffing or password spraying.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
101
Detects Entra ID guest (B2B) users performing a sign-in from a previously unseen IP address or country (observed over the last 30 days), followed within a 4-hour window by sensitive file operations in SharePoint, OneDrive, or Teams (e.g., file downloads, exports, or sensitivity label changes). This pattern is indicative of potential account takeover or unauthorized access to sensitive corporate data.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule identifies potential account compromise by detecting successful logins to at least two different SaaS applications monitored by Microsoft Cloud App Security (MCAS) within a 2-hour window, originating from geolocations separated by more than 500 kilometers. This behavior is indicative of credential sharing or account hijacking where an adversary accesses multiple cloud services rapidly from geographically distant locations.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
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