Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule monitors for file creation or modification events related to the Admin Menu Editor Pro WordPress plugin, specifically looking for indicators of specific versions (2.35, 2.36) or file naming conventions. It also alerts on network communication to the plugin's domain, which could indicate a compromise or the use of an unauthorized or modified plugin version that may be associated with known vulnerabilities.
Detects successful API requests to sensitive administrative endpoints on WSO2 systems that lack a corresponding legitimate authentication event (session) from the same SourceIP and user pair, which may indicate the use of forged JWTs or authentication bypass exploitation (e.g., CVE-2026-5430).
Detects anomalous access to WSO2 API Manager Store and Publisher endpoints involving the retrieval of sensitive information like consumer keys and secrets. The rule specifically targets requests authenticated with JWTs that exhibit headers indicative of 'alg=none' or other unsupported/forged algorithm patterns, often associated with CVE-2026-5430 exploitation attempts. The rule uses statistical baseline monitoring to identify volume spikes in requests to these sensitive paths.
Detects a single user account sending an unusually high volume of Microsoft Teams messages containing themes related to passkey, SSO enrollment, or security updates. This behavior is indicative of a compromised internal account being leveraged to propagate social engineering lures to other employees.
Detects instances where a development-oriented web server (such as Vite or Node.js) is configured to bind to all network interfaces ('0.0.0.0') and is simultaneously receiving inbound connections from non-private, external IP addresses on a common development port (5173). This rule filters out common CI/CD environments to focus on potentially insecure exposure of development tools to the public internet.
This rule monitors the Windows Application event log for critical Microsoft SQL Server (MSSQL) events. It detects server crashes, access violations, stack overflows, and high-severity (20+) errors. These events often indicate severe database corruption, underlying system instability, or potential exploitation attempts targeting the database engine.
This rule detects the installation of browser extensions that occur during an idle user session (greater than 7 minutes). This behavior is consistent with automated, remote-driven synthetic input injection, often utilized by malware (e.g., NinjaMare) to install malicious extensions without user consent while the system is unattended.
This rule detects instances where a user account performs a password update without any preceding or associated account verification events (such as email verification, reset requests, or action execution) within a short timeframe. This behavior can be indicative of account compromise where an adversary modifies credentials for a compromised user account.
Detects instances where unauthenticated users or sessions execute privileged 'tools/call' operations within the Grafana MCP dispatcher. This behavior is indicative of potential session spoofing attacks, specifically targeting vulnerabilities similar to CVE-2026-19516, where lack of an Authorization header allows unauthorized access to privileged tool functions.
This rule identifies browser extensions installed on devices that are either explicitly known as malicious or exhibit suspicious naming patterns potentially associated with unauthorized or malicious extensions.
Detects instances where the Chrome browser process accesses camera or microphone hardware, or invokes media device APIs, potentially indicating unauthorized audio or video recording.
This rule detects rapid, repetitive state change operations (such as think, act, or mode changes) occurring within the Microsoft Edge browser context when interacting with Microsoft domains. This behavior is indicative of automated browser interactions, such as those performed by botnets, automated testing frameworks, or potentially malicious browser automation scripts.
Detects the creation or update of LiteLLM custom code guardrails that include suspicious Python snippets, specifically 'import os' and 'os.popen', which are indicative of attempts to execute arbitrary OS commands via guardrail logic (CVE-2026-59821).
Detects instances where a browser process (chrome.exe) accesses the microphone or camera within a 2-minute temporal window of communicating with 'gemini.google.com'. This rule is intended to identify potential unauthorized use of system peripherals in the context of an AI-agent session.
Detects high-frequency, automated interactions with popular AI assistant web interfaces (e.g., Gemini, Perplexity, Claude, Copilot) from common browser processes. This pattern often indicates unauthorized automated data submission or scraping, which may follow or facilitate automated exfiltration of browser-resident data.
Detects the use of 'COPY TO PROGRAM' syntax within Cisco Email Security Appliance (ESA) logs. This pattern is indicative of potential command injection or OS command execution attempts often associated with exploitation of database-related functionalities, specifically targeting Cisco ESA management or backend interfaces.
This rule identifies successful user sign-in events specifically targeted at Microsoft's management portals (myaccount.microsoft.com and mysignins.microsoft.com). It aggregates these events by user, tracking the frequency, timeframe, and originating IP addresses for successful access. This monitoring is useful for detecting abnormal access to identity settings, which could indicate credential abuse or unauthorized account management.
LDAP Query Extractor | Cortex XDR
Cortex XDR
Extracts LDAP search queries from Microsoft-Windows-LDAP-Client Event ID 30 logs on endpoints. Accepts hostname, username, or IP as input. Shows initiating process with full command line, search filter, base DN, and requested attributes. Good for triaging LDAP enumeration alerts and identifying whether queries come from known AD tools or suspicious recon activity.
Identifies instances of Google Chrome running on endpoints with version numbers below the threshold patched for CVE-2026-85046. This detection focuses on specific build numbers (e.g., 152.0.7977.82 for Windows/Linux) to identify potentially vulnerable browser installations in the environment.
Detects anomalous unauthenticated password reset requests targeting the Keycloak reset-credentials endpoint. The rule monitors for high-volume password reset attempts from single source IP addresses, specifically flagging those that target common administrative usernames or attempt to reset passwords across multiple distinct user accounts, which may indicate exploitation attempts (e.g., CVE-2026-18963).
Detects instances where a LiteLLM proxy is utilized to invoke sensitive Model Context Protocol (MCP) tools (e.g., database, github, slack, jira, ci/cd) while authentication is bypassed ('allow_all_keys=true') and no explicit API key is provided. This indicates a potential unauthorized access attempt to sensitive integrations via a misconfigured proxy.
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