Detections

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

780 detections

Detects unusual number of failed authentications from the same IP for valid users.
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
2 years ago
001
Okta ThreatInsight detects multiple login failures from the same IP across one or more Okta orgs.
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
2 years ago
001
Detects when an Okta user failed a number challenge during push notification.
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
2 years ago
001
Detects multiple users login failures from a single IP.
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
2 years ago
001
Detects successful login after multiple failed attempts
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
2 years ago
000
Okta's ThreatInsight can identify multiple login failures with high unknown users count from the same IP across one or more Okta orgs.
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Google SecOps@GoogleSecOps
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Google SecOps Detection Rules
2 years ago
000
Detects suspicious rejected SMB guest logon attempts from an IP address, which can be an indicator of an attempted PrintNightmare (CVE-2021-1675) remote code execution exploit or other brute-force/password guessing attacks against SMB. The rule specifically looks for EventID 31017 (SMB client security event for rejected guest logon) where the UserName is empty and the ServerName starts with '\1', which is often seen in exploit attempts.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0024
This rule detects authentication attempts (both successful and failed) originating from a host with a 16-character alphanumeric workstation name, specifically looking for NTLM authentication. This pattern is characteristic of Metasploit's SMB modules, which often generate random 16-character workstation names during authentication attempts. The rule aims to identify potential lateral movement or reconnaissance activities using Metasploit against Windows systems.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
10089
This rule detects successful password spray activity. A password spray attack involves an adversary attempting a single or small list of commonly used passwords against many different accounts to acquire valid credentials, often to avoid account lockouts. The detection specifically triggers when Azure AD Identity Protection identifies a 'passwordSpray' risk event.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0046
This rule identifies sign-in attempts from geographically distant locations within a short timeframe, which is indicative of an "impossible travel" scenario. It also considers if one of these locations is atypical for the user based on their past behavior. This pattern often suggests that an attacker has compromised user credentials and is attempting to access the account from a new, unusual location, potentially using a VPN or proxy service to mask their true origin.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0035
This rule detects NTLM brute force attempts by identifying specific workstation names commonly used by NTLM brute-forcing tools. It looks for Event ID 8004 in the Microsoft-Windows-NTLM/Operational log, specifically when the 'WorkstationName' field matches a list of known tool-related or generic Windows names.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
1034
Detects Border Gateway Protocol (BGP) authentication failures, which can indicate attempts to brute force BGP peer authentication. Such attacks aim to manipulate routing information, potentially leading to traffic redirection or denial of service.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0032
Detects failed Kerberos TGT issue operations. This can be a sign of manipulations of TGT messages by an attacker, potentially indicating attempts to exploit Kerberos for credential access or to bypass authentication mechanisms.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0029
Identifies user accounts that have been locked due to multiple failed sign-in attempts with incorrect credentials. This often indicates a brute-force attack or password guessing attempt against user accounts.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0026
Detects Label Distribution Protocol (LDP) authentication failures on Cisco devices, which could indicate an adversary attempting to brute force LDP authentication to manipulate MPLS labels. This could be part of an effort to disrupt network traffic or gain unauthorized access.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0024
This rule detects sign-in attempts originating from IP addresses identified as malicious by Azure AD Identity Protection, specifically when these attempts are characterized by a high failure rate. This indicates potential brute-force attacks, credential stuffing, or other unauthorized access attempts from known bad IP addresses.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0019
This rule detects when an authenticated user, who is not authorized for remote logon, attempts to connect to a computer via Remote Desktop. This event can indicate an attacker attempting to discover and access available Windows servers on the network.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
0019
Detects common NTLM brute force device names
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
002
This rule is designed to detect attempts to exploit Zerologon (CVE-2020-1472) vulnerability using mimikatz zerologon module or other exploits from machine with "kali" hostname.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
102
Alerts on Metasploit host's authentications on the domain.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
001
Indicates sign-in from a malicious IP address based on high failure rates.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 years ago
000
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