Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects attempts to exploit Microsoft 365 Copilot through prompt injection, where attackers inject HTML/script elements into search queries. It specifically identifies when these queries attempt to force Copilot to interact with external URLs via Bing image search (SSRF), potentially exfiltrating sensitive data such as MFA codes, email content, or meeting details to an attacker-controlled external domain.
Detects network connections to Bunny CDN infrastructure that contain common URL path indicators associated with phishing, a technique observed in activity attributed to UNC1151 (Ghostwriter).
This rule computes a composite risk score for user authentication events across multiple identity and network providers (Okta, Azure AD, VPNs, etc.). It flags suspicious patterns including impossible travel, credential stuffing indicators (multiple failures followed by success), new or unknown devices, and lateral movement attempts (concurrent access to both VPN and SSO services). Only users meeting a risk score threshold of 40 or higher with at least one successful authentication are reported.
Detects the execution of npm install commands that include known malicious package names associated with a supply chain attack linked to the Lazarus Group. These packages are designed to impersonate the legitimate 'rollup-plugin-polyfill-node' package.
Detects signs of a supply chain attack, specifically referencing the IronWorm/Shai-Hulud pattern, involving the backdating of git commits, manipulation of git environment variables (GIT_COMMITTER_DATE/GIT_AUTHOR_DATE) to mask malicious activity history, and the use of 'touch' commands to modify file timestamps on project-related binaries and configuration files.
Detects OAuth consent grants or permission additions in Microsoft Entra ID (Azure AD) audit logs that occur in conjunction with device login flow artifacts. This pattern is indicative of 'ConsentFix' or device code phishing attacks, where users are manipulated into authorizing malicious applications, potentially bypassing MFA requirements by using the device code flow.
Detects malicious activities targeting Cisco Catalyst SD-WAN infrastructure, including connections from known malicious IP addresses (UAT-8616), unauthenticated vManage API access attempts indicative of exploitation (CVE-2026-20182), and anomalous control-plane signaling (OMP/DTLS/NETCONF) from unauthorized external sources.
This rule detects potential brute force attacks against Microsoft Exchange Outlook Web App (OWA) by monitoring for a high volume of 401 Unauthorized status codes from non-internal IP addresses. It also correlates these authentication events with subsequent post-authentication actions, specifically identifying mailbox logins followed by mailbox searching or export requests, which may indicate account compromise and unauthorized data collection or exfiltration.
Detects creation of Intune device management scripts, a potential privilege abuse vector.
Detects anomalous, oversized IKEv1 Phase 1 packets targeting Check Point VPN devices, indicative of an exploitation attempt for CVE-2026-50751.
Detects the autonomous execution of package manager commands (pip, npm, yarn) initiated by processes associated with AI agent pipelines, automation scripts, or CI/CD runners. This behavior is indicative of potential malicious activity where automated agents may be tricked into installing hallucinated or malicious packages from untrusted domains without human oversight.
Detects instances where common package management utilities (pip, npm, wget, curl) establish network connections to domains outside of verified official package registry endpoints. This pattern is often used in software supply chain attacks to retrieve malicious packages from attacker-controlled infrastructure.
Detects attempts to exploit the Log4Shell vulnerability (CVE-2021-44228) by identifying JNDI lookup strings (e.g., ${jndi:ldap://, ${jndi:rmi://, ${jndi:dns://) within HTTP request headers, a technique used to trigger remote code execution in vulnerable Java applications using the Log4j library.
Detects malicious Parameter-to-Prompt (P2P) injection attempts targeting Microsoft 365 Copilot by monitoring search query parameters for indicators of natural-language command injection or HTML-based payload injection (e.g., img tags, source manipulation, or data extraction commands).
Detects incoming emails where a single URL contains indicators of two or more distinct security vendor rewriting services. This technique is used by adversaries to create multi-layered redirect chains to bypass automated scanners and deliver malicious content, as seen in Tycoon2FA and Sneaky2FA campaigns.
This rule detects potential device code phishing attempts by correlating URL click events with sign-in logs using the 'deviceCode' authentication protocol. It specifically looks for successful or failed sign-ins (result types 0, 50074, 50076, 500121) that occur after a user clicks on a URL.
Detects the execution of 'net.exe' from a 'powershell.exe' parent process to either reset the local administrator password or reactivate a built-in domain administrator account. This behavior is associated with the Akira ransomware group's pre-encryption stage to ensure access to compromised endpoints.
Detects Microsoft 365 sign-in patterns indicative of an adversary bypassing Conditional Access device compliance requirements using an edge appliance proxy. The rule identifies successful authentication sessions from non-compliant or unmanaged devices that satisfy Conditional Access, often involving impossible travel or multiple source IPs, suggesting the use of an intermediary infrastructure to masquerade as a trusted location.
Detects anomalous activities associated with the CitrixBleed2 campaign where the ScreenConnect remote access tool is used to deploy or execute QEMU virtual machine artifacts. The rule monitors for the spawning of virtualization binaries (e.g., qemu-system-x86_64) via the ScreenConnect service, the dropping of QEMU-related files into ScreenConnect directories, and the suspicious creation of local administrator accounts (CtxAppVCOMService).
Detects potential exploitation of the Zerologon vulnerability (CVE-2020-1472) by correlating computer account password changes (Event ID 4742) with preceding anonymous or null SID logons (Event ID 4624) where the host identifier aligns. The rule identifies anomalous account modifications that occur within a short time window following an anonymous authentication request on the same host.
This rule detects attempts to exploit a Server-Side Request Forgery (SSRF) vulnerability in Oracle PeopleSoft by targeting the '/PSIGW/HttpListeningConnector' endpoint. The detection looks for malicious URI patterns and request bodies containing internal-only network indicators such as loopback addresses (127.0.0.1, localhost), link-local addresses (169.254.169.254), or local file access attempts (file://), which are indicative of SSRF exploitation attempts.
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