Detections

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

97 detections

Detects indicators of exploitation related to CVE-2026-20245 on Cisco Catalyst SD-WAN controllers, including malicious tenant CSV uploads, unauthorized account creation (troot), privilege escalation via su, anti-forensic backup of system configuration files, and configuration changes such as PermitRootLogin enabled.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
005
Detects the creation of a new local account using the 'net' utility, followed immediately by that account being added to the local administrators group on the same endpoint. This behavior is a common indicator of persistence or privilege escalation attempts.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
103
Monitors for the use of 'sshpass' to automate SSH logins using specific accounts commonly associated with Oracle/PeopleSoft administration (psoft, oracle, linuxadm) with disabled strict host key checking. This technique was observed in ShinyHunters attacks.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
408
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 the creation of a new local account using the 'net' utility, followed immediately by that account being added to the local administrators group on the same endpoint. This behavior is a common indicator of persistence or privilege escalation attempts.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects the Pony malware credential harvesting sequence where a non-system process performs repeated interactive logon attempts (LogonUserA dictionary brute force via NetUserEnum) against local accounts and achieves at least one successful logon, after which LoadUserProfileA is used to impersonate the compromised account and harvest profile-scoped credentials.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
102
Detects local account RDP logins originating from external IP addresses
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
207
Detects local account RDP logins originating from external IP addresses
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
005
This rule detects multiple (3 or more) logon attempts using the 'RunAs' feature (Event ID 4648) for accounts containing 'Admin' or 'SYSTEM' in their username within a one-hour window. This could indicate an adversary attempting to escalate privileges or execute code as a privileged user.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
007
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
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Detections.ai Community
5 months ago
006
This rule detects suspicious GitHub workflow modifications or pushes originating from multiple distinct IP addresses within a short time frame (1 hour). It specifically looks for 'WorkflowCreated', 'WorkflowUpdated', or 'Push' actions on GitHub, and triggers if more than one such event and more than one distinct IP address are observed for a given account within an hour. This could indicate compromised credentials or unauthorized access to a GitHub account being used to manipulate CI/CD pipelines.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
006
This rule detects an unusually high volume (5 or more within an hour) of successful logons by 'SYSTEM' or 'LOCAL SERVICE' accounts. While these are legitimate system accounts, a sudden surge in their logon activity could indicate unusual system behavior, potential compromise, or misconfiguration leading to excessive system account usage.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
004
This rule detects when sharing inheritance settings are modified in SharePoint. This could indicate an attempt to broaden access to sensitive information, a misconfiguration, or an attacker attempting to maintain access or exfiltrate data.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
204
This rule detects multiple WinRM authentication attempts using basic authentication from a single source IP address to the local network. It specifically looks for the 'Authorization: Basic' header in TCP traffic destined for port 5985 (default WinRM port) and triggers an alert if five such attempts occur within 30 seconds from the same source.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
007
This rule detects when sharing inheritance settings are modified in SharePoint. This could indicate an attempt to broaden access to sensitive information, a misconfiguration, or an attacker attempting to maintain access or exfiltrate data.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
This rule detects unusual logon activity for service accounts. It identifies service accounts by looking for a dollar sign ($) at the end of the username. The rule then counts logons, unique IP addresses, and unique computers for these service accounts within one-hour bins. An alert is triggered if a service account has 10 or more logons or logs in from 5 or more unique IP addresses within that hour, indicating potential abuse or compromise.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
004
This rule detects RDP login attempts from an external network to the internal network. It specifically looks for the RDP protocol header (0x03 0x00) on TCP port 3389. A threshold of 5 attempts within 60 seconds from the same source IP is set to reduce false positives.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects unusual logon activity for service accounts. It identifies service accounts by looking for a dollar sign ($) at the end of the username. The rule then counts logons, unique IP addresses, and unique computers for these service accounts within one-hour bins. An alert is triggered if a service account has 10 or more logons or logs in from 5 or more unique IP addresses within that hour, indicating potential abuse or compromise.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
This rule detects suspicious GitHub workflow modifications or pushes originating from multiple distinct IP addresses within a short time frame (1 hour). It specifically looks for 'WorkflowCreated', 'WorkflowUpdated', or 'Push' actions on GitHub, and triggers if more than one such event and more than one distinct IP address are observed for a given account within an hour. This could indicate compromised credentials or unauthorized access to a GitHub account being used to manipulate CI/CD pipelines.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
008
Detects authentication or privilege escalation events where a user account that is normally unprivileged suddenly reports as UID 0. This is a direct artifact of modifying the page cache of /etc/passwd in memory, which is the primary post-exploitation phase of the Copy Fail vulnerability (CVE-2026-31431).
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Elgonad .@elgonad
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Detections.ai Community
6 months ago
80637
Detects scripts (Batch, PowerShell) that create a hidden local account (appended with $) and add it to highly privileged groups like Administrators and Remote Desktop Users.
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Thiru N@Iamthiru
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Detections.ai Community
6 months ago
10208
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