Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects attempts to export user permission data from Bitbucket, which could indicate reconnaissance or data collection activities by an adversary.
This rule detects attempts to export user details from Bitbucket, including successful exports, failed attempts, and the initiation of such exports. This activity could indicate an adversary attempting to collect sensitive user information for further reconnaissance or data exfiltration.
Detects the execution of TruffleHog, an open-source tool used for scanning repositories for secrets and sensitive information, within an AWS environment. This activity can indicate credential harvesting by threat actors. All detections should be investigated to determine if the usage is authorized by security teams or potentially malicious.
Detects the use of TruffleHog for AWS credential validation by identifying GetCallerIdentity API calls where the userAgent indicates TruffleHog. Threat actors leverage TruffleHog to enumerate and validate exposed AWS keys. Successful exploitation allows threat actors to confirm the validity of compromised AWS credentials, facilitating further unauthorized access and actions within the AWS environment.
Detects the execution of TruffleHog, a tool designed to search for secrets across various platforms such as Git, Jira, Slack, and SharePoint. While TruffleHog is a legitimate tool often used in CI pipelines and security assessments, its execution can also indicate malicious activity, as observed in campaigns like Shai-Hulud targeting npm packages to steal sensitive information. The rule triggers on the execution of 'trufflehog.exe' or when its command line arguments indicate searching specific platforms or verifying results.
This rule detects the execution of TruffleHog, a tool designed to find secrets in various platforms such as Git, GitHub, Jira, Slack, Confluence, SharePoint, Docker images, and cloud storage services like S3 and GCS. While TruffleHog is a legitimate tool often used in CI pipelines and security assessments, its execution can also indicate malicious activity, as observed in the Shai-Hulud malware campaign targeting npm packages to steal sensitive information. The rule triggers on either the image name ending with '/trufflehog' or a combination of command-line arguments indicating its use to scan specific platforms and the '--results=verified' flag.
Detects network connections to the InterPlanetary File System (IPFS) where the URI contains a pattern indicative of an email address. This behavior is associated with recent phishing campaigns that leverage IPFS to host credential harvesting webpages, attempting to collect user credentials.
Detects user data export activity.
Detects user permission data export attempt.
Detects abnormal network activity and connectivity issues in Ollama including non-localhost API access attempts and warning-level network errors such as DNS lookup failures, TCP connection issues, or host resolution problems that may indicate network-based attacks, unauthorized access attempts, or infrastructure reconnaissance activity.
Detects API reconnaissance and endpoint scanning activity against Ollama servers by identifying sources probing multiple API endpoints within short timeframes, particularly when using HEAD requests or accessing diverse endpoint paths, which indicates systematic enumeration to map the API surface, discover hidden endpoints, or identify vulnerabilities before launching targeted attacks.
This rule detects URLs that contain common redirection or link parameters (u=, url=, redirect=, r=, link=, target=, dest=) where the value of the parameter is a long, alphanumeric string that appears to be an encoded domain. This pattern can indicate attempts to obfuscate the true destination of a link, often seen in phishing campaigns or malicious redirection attempts. The rule specifically looks for encoded parameters containing common top-level domains like .com, .net, or .org.
This rule detects instances where a user clicks on a URL identified as potentially malicious (phishing-related) and subsequently has a risky sign-in event in Azure AD. The rule correlates URL click events from email with Azure AD sign-in logs, specifically looking for sign-ins marked as risky or originating from suspicious user agents (e.g., specific axios versions). The phishing URLs are identified by keywords such as 'azureapplicationregistration.pages.dev', 'chrnobinson.com', 'workers.dev', '.pages.dev', '.web.core.windows.net', '/oauth2/v2.0/authorize', 'client_id=', and 'scope=openid'.
The following analytic identifies processes loading Mozilla NSS-Mozglue libraries such as mozglue.dll and nss3.dll. It leverages Sysmon Event logs, specifically monitoring EventCode 7, which tracks image loaded events. This activity is significant because it can indicate unauthorized access or manipulation of these libraries, which are commonly used by Mozilla applications like Firefox and Thunderbird. If confirmed malicious, this could lead to data exfiltration, credential theft, or further compromise of the system.
This rule identifies Cisco network devices within Microsoft Defender for Endpoint (MDE) telemetry that are running Cisco IOS or Cisco XE operating systems, excluding version '17.15.4a'. The exclusion of a specific OS version suggests the rule is designed to pinpoint devices that may be vulnerable to a known security flaw, potentially CVE-2025-20352 as indicated by the rule's title. It helps in mapping exposure to specific vulnerabilities by identifying potentially unpatched or vulnerable network infrastructure components.
Detects network traffic potentially associated with a scraper botnet variant that uses the "Hello-World/1.0" user-agent string and performs GET requests. This activity is indicative of reconnaissance or data scraping.
KQL Query from file: Endpoint SMB Exposed on Public Internet
Detects a Windows command shell executing a batch file that subsequently spawns processes for system discovery (often for AV checking) and then either executes a potential payload or performs network reconnaissance. This behavior is consistent with the initial stages of the BlockBlasters malware campaign.
On October 14, 2025, less than one month from now, Exchange Server 2016 and Exchange Server 2019 will reach end of support. It’s critical to upgrade now to remain supported and secure. This query check for all possible builds of Exchange Server 2016 and Exchange Server 2019.
This query identifies Linux devices with vulnerable versions of the Common Unix Printing System (CUPS) installed, which are susceptible to remote denial-of-service and authentication bypass attacks as described in CVE-2025-58364 and CVE-2025-58060. The rule filters for CUPS software packages on Linux systems and compares the installed version against a known vulnerable version cutoff. This cutoff is a placeholder and must be updated with specific version information from official vendor advisories.
Detects network traffic potentially associated with a scraper botnet variant that uses the "Hello-World/1.0" user-agent string.
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