Detections

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

65 detections

This rule detects high-frequency security alerts from Zscaler ZIA indicating that a single source IP has encountered three or more distinct threat signatures within a 15-minute window. This behavior is indicative of a host engaging in malicious activity, such as automated scanning, malware communication attempts, or accessing infrastructure associated with multiple malicious categories.
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KQL Cowboy@KQLCowboy
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Zscaler Detection Engineering
2 months ago
004
Detects instances where Netskope security solution has identified and blocked web-based traffic classified as malware or a security threat.
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KQL Cowboy@KQLCowboy
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Netskope Detection Engineering
2 months ago
304
Detects users who have triggered five or more blocks by Netskope security policies for high-risk web categories such as Anonymizers, Hacking, Gambling, or Adult Content. This behavior may indicate an attempt to circumvent security controls or persistent engagement with prohibited content.
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KQL Cowboy@KQLCowboy
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Netskope Detection Engineering
2 months ago
103
Detects Zscaler ZIA logs identified as Advanced Threat Protection events, specifically targeting URL categories like Phishing and WebSpam, or traffic classified as Advanced Security Risk. The rule aggregates these events by user to identify potential malicious activity, flagging sessions where threats were allowed as higher severity.
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KQL Cowboy@KQLCowboy
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Zscaler Detection Engineering
2 months ago
003
Detects instances where Zscaler web security logs identify malware, threats, or viruses, specifically flagging users and destination hosts involved in these blocked or allowed security events.
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KQL Cowboy@KQLCowboy
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Zscaler Detection Engineering
2 months ago
103
This rule detects high-frequency security alerts from Zscaler ZIA indicating that a single source IP has encountered three or more distinct threat signatures within a 15-minute window. This behavior is indicative of a host engaging in malicious activity, such as automated scanning, malware communication attempts, or accessing infrastructure associated with multiple malicious categories.
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KQL Cowboy@KQLCowboy
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Zscaler Detection Engineering
2 months ago
003
Detects users who have triggered five or more blocks by Netskope security policies for high-risk web categories such as Anonymizers, Hacking, Gambling, or Adult Content. This behavior may indicate an attempt to circumvent security controls or persistent engagement with prohibited content.
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KQL Cowboy@KQLCowboy
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Detections.ai Community
2 months ago
003
KQL Query
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KQL Cowboy@KQLCowboy
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Zscaler Detection Engineering
2 months ago
002
This rule detects outbound network connections that were blocked by security controls due to matching a threat signature or being categorized as malicious or command-and-control (C2) traffic.
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KQL Cowboy@KQLCowboy
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Detections.ai Community
2 months ago
002
This rule detects when Microsoft Defender SmartScreen identifies and blocks or warns users about access to known 'ClickFix' phishing landing pages. These pages often attempt to social engineer users into executing malicious commands via copy-paste actions (e.g., in a terminal or Run dialog) as a deceptive remediation step for fake browser errors.
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Duo Tech@duotech
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Detections.ai Community
3 months ago
5018
This rule monitors Palo Alto Networks firewalls for files identified as malicious by the WildFire or ML-based threat detection engines. It filters out known allowed file hashes and aggregates events to provide a high-confidence alert. The rule categorizes threats based on the verdict ('malicious', 'malware', 'phishing', 'suspicious', 'c2') and distinguishes whether the threat was blocked or delivered to the network, providing context for incident response.
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Jason Nelson@Jason
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Detections.ai Community
3 months ago
5013
Detects the use of iptables to drop incoming SSH traffic (port 22) on Linux, a behavior observed in KadNap botnet infections. This rule specifically looks for the execution of the `iptables` command with parameters to set an INPUT rule, specify TCP protocol, target destination port 22, and set the jump target to DROP.
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Bhojraj Joshi@cybrbhojrajjoshi
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Detections.ai Community
6 months ago
10185
This rule detects external brute-force attempts against firewall authentication mechanisms. It triggers when 15 or more failed login attempts from a single external IP address occur within a 15-minute window. The rule specifically filters for 'USER_LOGIN' events with a 'BLOCK' or 'FAIL' security result and excludes internal RFC1918 IP addresses to focus on external threats.
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Manthan Agravat@manthan1501
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Detections.ai Community
6 months ago
120272
This rule alerts when Cato's inline Anti Malware engine identifies a file in transit as malicious. It fires on both blocked and allowed malware to catch cases where the engine detects but fails to block, indicating a potential compromise or a misconfiguration requiring immediate investigation.
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Nicholas Isakson@nisakson2000
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Detections.ai Community
7 months ago
220651
Detects a Windows Filtering Platform (WFP) blocked connection event involving common Endpoint Detection and Response (EDR) agents.
Adversaries may use WFP filters to prevent Endpoint Detection and Response (EDR) agents from reporting security events.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
003
This query identifies URL access attempts that were blocked by CATO Networks security policies, based on logs in CommonSecurityLog. It allows for filtering by specific devices or target URLs.
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Nicholas Isakson@nisakson2000
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Detections.ai Community
9 months ago
4057
This rule identifies and aggregates blocked requests from Imperva WAF logs, grouping them by source IP address and then by the owning organization (ASN). It helps to detect and analyze potential attack campaigns or coordinated malicious activity originating from specific organizations or IP ranges. The rule focuses on security, session, and visitor blocks, providing details on attack names, query strings, referrers, and URLs.
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Nicholas Isakson@nisakson2000
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Detections.ai Community
9 months ago
3054
This rule detects network traffic blocked by Microsoft Defender Exploit Guard Network Protection or SmartScreen. It categorizes these detections into several types: Indicator of Compromise (IoC) URLs, Web Content Filtering, Malicious/Command & Control, and Cloud App Security Broker (CASB) policy violations. The rule summarizes these events per device, providing counts for each detection category and listing the blocked URLs with timestamps.
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Luis Zavier Guzman Garcia@KillBillKill98
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Detections.ai Community
1 year ago
60153
This rule correlates Microsoft Defender for Endpoint (MDE) SmartScreen and Network Protection blocks with network activity logs. It specifically looks for instances where SmartScreenUrlWarning or ExploitGuardNetworkProtectionBlocked events occur due to 'CustomBlockList' or 'CustomPolicy' settings. The rule then joins these events with DeviceNetworkEvents to identify the associated URLs, remote IP addresses, and ports involved in the blocked network communication. The primary goal is to identify and provide context for network access attempts that are blocked by custom security policies, indicating potential malicious or unwanted website access.
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Luis Zavier Guzman Garcia@KillBillKill98
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Detections.ai Community
1 year ago
10137
This analytic detects repeated blocked connection attempts from the same initiator to the same responder within a short time window. It leverages Cisco Secure Firewall Threat Defense logs and identifies connections where the action is set to Block, and the number of occurrences reaches or exceeds a threshold of ten within a one-minute span. This pattern may indicate a misconfigured application, unauthorized access attempts, or early stages of a brute-force or scanning operation. If confirmed malicious, this behavior may represent an attacker probing the network, attempting lateral movement, or testing firewall rules for weaknesses.
Splunk Security@SplunkSecurity
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Splunk Security Content
1 year ago
4096
The following analytic detects a blocked connection event by identifying a "Block" value in the action field. It leverages logs from Cisco Secure Firewall Threat Defense devices. This activity is significant as it can identify attempts from users or applications initiating network connection to explicitly or implicitly blocked range or zones. If confirmed malicious, attackers could be attempting to perform a forbidden action on the network such as data exfiltration, lateral movement, or network disruption.
Splunk Security@SplunkSecurity
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Splunk Security Content
1 year ago
2052
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