Detections

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

485 detections

Detects a significant increase in Zscaler Risk360 risk scores or the emergence of new high-impact security insights. This rule monitors for category-specific risk spikes (External Attack Surface, Compromise, Lateral Propagation, or Data Loss) that exceed a defined delta threshold or are flagged as Critical/High severity, serving as a posture-based alert for security investigation.
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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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Netskope Detection Engineering
2 months ago
103
Detects sensitive files in cloud storage environments that have been shared publicly or with external entities, as identified by Netskope CASB (DLP) policies. This rule monitors for events where storage objects are assigned broad access permissions (e.g., 'public', 'anyone with link') in conjunction with DLP incident triggers.
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KQL Cowboy@KQLCowboy
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Netskope Detection Engineering
2 months ago
103
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 large file uploads (greater than 100MB) from endpoints to unmanaged or personal cloud storage services such as Google Drive, OneDrive, and Dropbox. This behavior may indicate unauthorized data exfiltration or the improper use of unapproved cloud storage platforms to move sensitive data outside of corporate control.
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KQL Cowboy@KQLCowboy
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Detections.ai Community
2 months ago
303
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
Detects sensitive files in cloud storage environments that have been shared publicly or with external entities, as identified by Netskope CASB (DLP) policies. This rule monitors for events where storage objects are assigned broad access permissions (e.g., 'public', 'anyone with link') in conjunction with DLP incident triggers.
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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
Detects administrative changes to Zscaler location templates that disable critical security enforcement settings, specifically Firewall Control, IPS Control, or Acceptable Use Policy (AUP) enforcement. Such modifications may indicate an attempt to weaken an organization's perimeter defense posture.
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KQL Cowboy@KQLCowboy
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Zscaler Detection Engineering
2 months ago
002
Detects a significant increase in Zscaler Risk360 risk scores or the emergence of new high-impact security insights. This rule monitors for category-specific risk spikes (External Attack Surface, Compromise, Lateral Propagation, or Data Loss) that exceed a defined delta threshold or are flagged as Critical/High severity, serving as a posture-based alert for security investigation.
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KQL Cowboy@KQLCowboy
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Zscaler Detection Engineering
2 months ago
002
Detects instances where Netskope Advanced Threat Protection (ATP) identifies a malicious file during a user-initiated upload or download operation.
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KQL Cowboy@KQLCowboy
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Netskope Detection Engineering
2 months ago
102
This rule detects data synchronization activities between sanctioned enterprise applications and unsanctioned or personal cloud applications using Netskope logs. This pattern often indicates potential shadow IT usage or unauthorized data exfiltration from controlled environments to personal storage services.
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KQL Cowboy@KQLCowboy
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Netskope Detection Engineering
2 months ago
102
Detects command-line activity indicative of attempts to disable, bypass, uninstall, or interfere with the Netskope security agent functionality on an endpoint.
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KQL Cowboy@KQLCowboy
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Detections.ai Community
2 months ago
002
Detects user activity involving unsanctioned or 'Shadow IT' applications that have a low or poor Cloud Confidence Index (CCI) rating, as reported by Netskope. This rule helps identify potential security risks associated with the use of unapproved or newly observed cloud services.
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KQL Cowboy@KQLCowboy
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Detections.ai Community
2 months ago
002
Detects when a user authorizes an OAuth application that requests high or critical permissions in a SaaS environment via Netskope logs. This pattern is commonly used in OAuth-based phishing campaigns or illicit application consent grants where adversaries attempt to gain persistent access to cloud resources.
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KQL Cowboy@KQLCowboy
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Detections.ai Community
2 months ago
002
Detects DLP events from Netskope where sensitive data (PII, PCI, Source Code, or Credentials) is being uploaded or shared, indicating potential data exfiltration.
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KQL Cowboy@KQLCowboy
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Detections.ai Community
2 months ago
002
Detects instances where Netskope Advanced Threat Protection (ATP) identifies a malicious file during a user-initiated upload or download operation.
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KQL Cowboy@KQLCowboy
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Detections.ai Community
2 months ago
002
This rule analyzes recent agent telemetry to identify and summarize the distribution of local agent vendors present in the environment over a 30-day lookback period. It extracts vendor information from agent metadata and provides a frequency count to assist in auditing deployed infrastructure agents.
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Goksel Atakan@gokselatakan
Defender - KQL
3 months ago
7015
This rule detects potentially malicious AI prompt injection attempts targeting web-based AI assistants like Microsoft Copilot or Atlassian Rovo. It monitors CommonSecurityLog data for specific URL parameters (rovoChatPrompt, q, prompt) containing suspicious keywords (e.g., 'ignore', 'system', 'exfiltrate') or unusually long parameter values, which are indicators of efforts to bypass AI safety guardrails or perform data exfiltration via prompt manipulation.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
3 months ago
308
This rule detects repeated ZTNA/ZPA session restore failures for a single user within a short timeframe (15 minutes). A high number of session restore failures can indicate potential brute force attempts, token manipulation, or automated abuse of session management mechanisms.
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KQL Cowboy@KQLCowboy
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Zscaler Detection Engineering
2 months ago
001
This rule detects repeated ZTNA/ZPA session restore failures for a single user within a short timeframe (15 minutes). A high number of session restore failures can indicate potential brute force attempts, token manipulation, or automated abuse of session management mechanisms.
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KQL Cowboy@KQLCowboy
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Zscaler Detection Engineering
2 months ago
001
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