Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects remote code execution exploitation targeting CVE-2026-20253 in Splunk. The rule monitors for unauthorized child processes, such as shells or scripting interpreters, being spawned by the Splunk daemon (splunkd). It also flags processes containing exploit-related strings in the command line as a secondary indicator.
This rule detects attempts to perform Large Language Model (LLM) prompt injection via HTTP requests. It monitors proxy traffic for common jailbreaking or adversarial instruction patterns such as 'ignore previous instructions', 'bypass restrictions', or 'fictional environment' within URI parameters or request bodies. Such patterns are indicative of an attacker attempting to manipulate the behavior of an AI/LLM application.
Detects Microsoft Exchange EWS (Exchange.asmx) requests containing a ReferenceAttachment call where the ProviderEndpointUrl parameter points to a non-Microsoft/external domain. This is consistent with SSRF exploitation techniques, such as those observed in CVE-2026-45504, where an attacker-controlled endpoint is provided to Exchange for fetching WOPI properties.
This rule detects attempts to exploit the Log4Shell vulnerability (CVE-2021-44228) by monitoring HTTP headers for malicious JNDI lookup strings. Attackers use this injection to trigger the JNDI mechanism to connect to a remote server (LDAP, RMI, DNS) and download malicious Java classes, leading to remote code execution.
Detects attempts to exploit the ProxyShell vulnerability (CVE-2021-34473) in Microsoft Exchange servers. The rule identifies malicious path traversal sequences, specifically utilizing encoding techniques like double URL encoding (%25) or dot-dot-slash characters within requests to the Autodiscover service, aimed at bypassing security controls.
Detects network traffic containing the Java Serialization magic header 'AC ED 00 05'. This sequence is commonly used to initiate Java deserialization attacks, which can lead to remote code execution if the application insecurely deserializes untrusted data.
Detects unauthorized execution of AWS CLI commands within a shell spawned by Amazon Q or AWS language server processes. This activity typically involves the 'aws sts get-caller-identity' command being piped to 'curl' for remote exfiltration of cloud credentials, a behavior associated with the exploitation of CVE-2026-12957 in MCP auto-execution.
Detects instances where a user account modifies sensitive payroll or banking information (e.g., direct deposit details) shortly after performing a sign-in from an unmanaged device or suspicious context. This behavior is indicative of an Adversary-in-the-Middle (AiTM) token replay attack targeting HR SaaS applications like Workday to perform financial fraud.
This rule detects potential 'impossible travel' scenarios within Azure AD sign-in logs. It identifies users who successfully sign in to Office 365 from two geographically distant IP addresses within a one-hour window, suggesting a potential compromise or an attempt to bypass security controls.
Detects sign-in events using the device code authentication flow (OAuth 2.0 device authorization grant) where the originating IP address is external to the organization's private network. This flow is often abused by attackers to bypass traditional MFA or interact with headless environments via common HTTP client libraries like Python requests, Go-http, or Axios.
Detects instances where a user grants an OAuth application sensitive permissions, which could indicate an illicit consent grant attack where an adversary lures a user into authorizing a malicious application to access their email, files, or directory data.
Detects successful OAuth device code authentication flows targeted at sensitive Microsoft cloud resources (Exchange Online, SharePoint, Teams, Graph) originating from unmanaged or non-compliant devices. This pattern is often indicative of consent phishing or device code phishing attacks where an adversary obtains a device token to gain long-term unauthorized access to user data.
Phishing-as-a-Service kit abusing OAuth device code flow against Microsoft 365
This rule detects a multi-stage phishing campaign involving Gmail-hosted emails containing 'short.gy' URLs. It monitors for three distinct signals: (1) Outbound network connections to 'chongdaotang.net', (2) User clicks on 'short.gy' links arriving from Gmail addresses, and (3) Inbound or BCC-delivered emails from Gmail senders containing 'short.gy' links. This combination is highly indicative of a phishing operation attempting to redirect users to a malicious infrastructure.
Detects known suspicious (default) user-agents related to scanning/recon tools
Detects the modification of VPN SSL Settings (for example, the modification of authentication rules).
This behavior was observed in pair with the addition of a VPN SSL Web Portal.
This behavior was observed in pair with the addition of a VPN SSL Web Portal.
This rule detects potential SSH brute force attacks by identifying multiple failed password attempts from a single source IP address to a specific computer within a 5-minute window. It specifically looks for 'Failed password' messages in syslog entries from the 'sshd' process.
This rule detects potential credential harvesting attempts by identifying emails that contain keywords commonly associated with phishing (e.g., 'password', 'update', 'verify' in the subject) and URLs that suggest login or account pages (e.g., 'form', 'login', 'account'). It aggregates these events from the same sender over a one-hour period and flags senders with three or more such emails.
Detects a suspicious spike in Microsoft Teams external meeting or chat invitations directed at a single user within a 30-minute window. This behavior is consistent with UNC6692 tactics, where attackers impersonate internal IT helpdesk staff via Teams to perform vishing and social engineering attacks.
Detects the SearchLeak (CVE-2026-42824) delivery vector where a phishing link containing a long encoded 'q' parameter targeting Microsoft 365 Copilot Search is delivered via email to trigger prompt injection and subsequent data exfiltration of sensitive information.
Detects network traffic containing a potentially malicious Microsoft Excel (.xlsx) OOXML file being downloaded. The rule identifies the presence of the 'Content-Disposition' header with an '.xlsx' extension, combined with a file signature matching the ZIP format (often used by OOXML files) and a file size exceeding 500KB, which may indicate an attempt to exploit CVE-2025-60727.
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