Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects HTTP requests containing both Content-Length and Transfer-Encoding headers, which is a technique used in HTTP Request Smuggling attacks. This specific signature targets attempts to exploit CVE-2026-88773 in Citrix NetScaler.
Detects exploitation attempts against Microsoft SharePoint leveraging the ToolShell exploit chain, as well as subsequent post-exploitation webshell activity involving anomalous 'layoutNsp.aspx' naming conventions. This covers initial exploitation of vulnerabilities such as CVE-2025-49704 and associated variants, followed by the deployment of webshells associated with the ToolShell campaign.
Detects exploitation attempts against Microsoft SharePoint leveraging the ToolShell exploit chain, as well as subsequent post-exploitation webshell activity involving anomalous 'layoutNsp.aspx' naming conventions. This covers initial exploitation of vulnerabilities such as CVE-2025-49704 and associated variants, followed by the deployment of webshells associated with the ToolShell campaign.
This rule detects potential Browser-in-the-Browser (BitB) phishing attacks by identifying suspicious browser pop-up behavior (using window.open flags, hidden address/toolbars) on non-identity-provider domains, followed shortly by credential submission patterns on the same device. This pattern mimics legitimate OAuth or SSO windows to harvest user credentials.
Detects potential exploitation attempts targeting the vulnerable Oracle PeopleSoft PSEMHUB Environment Management Hub endpoint (associated with CVE-2026-35273 and UNC6240). The rule identifies suspicious bursts of POST requests where the URI path uses percent-encoding or mixed-case characters to evade Web Application Firewall (WAF) filtering.
Detects potential exploitation attempts against CVE-2026-76504, an authentication bypass vulnerability in Cisco Catalyst SD-WAN Manager. The rule monitors web server logs for requests to 'j_security_check' that include URL-encoded characters (specifically %6a, representing 'j'), which is a known pattern used to bypass security filters.
Detects indicators associated with the ChatGPT Custom GPT ClickFix campaign across process, network connection, DNS, and HTTP telemetry: known malicious file hashes, C2 IP addresses, the chattypetty.com domain, and known payload-hosting URLs.
This rule detects anomalous GET requests to PHP files within the WordPress themes directory that match the specific pattern used by the DragonForce threat actor for secondary C2 beaconing. The detection identifies requests that lack typical WordPress request indicators like cookies or specific form fields, suggesting non-browser, programmatically generated C2 traffic.
This rule monitors network traffic for TLS SNI and HTTP URI indicators associated with known typo-squatted or spoofed Google Drive and Google Meet phishing domains. It also detects the download of a specific ZIP archive used as a phishing lure.
Detects HTTP POST requests directed at Grav CMS endpoints where the __unique_form_id__ parameter contains directory traversal sequences (e.g., ../). This behavior is indicative of attempted exploitation of CVE-2026-42608, aimed at bypassing file system restrictions to write files to unauthorized locations outside the application's expected form data directory.
Detects potential exploitation attempts targeting unpatched Citrix NetScaler ADC or Gateway devices, specifically looking for unauthenticated requests to management or sensitive endpoints that contain command execution indicators. This rule is designed to identify activity associated with vulnerabilities similar to CVE-2026-88771.
Detects attempts to exploit a SharePoint vulnerability that involves bypassing SafeControls via quote-injection within the Register directive. The rule monitors POST requests to .aspx files for specific malicious patterns, including the use of 'ignoreParentFrozen' and malformed 'Register' tags that facilitate unauthorized code execution.
Detects incoming HTTP POST requests with unusually large payloads or malformed URI structures directed at Citrix NetScaler Gateway authentication endpoints, which are characteristic of exploitation attempts against CVE-2026-88771.
Detects outbound HTTP POST requests that contain a JPEG file signature ('FF D8 FF') in the body but lack a 'Content-Type' header. This pattern is indicative of potential C2 communication from a loader or malware family attempting to exfiltrate or receive data disguised as an image file while bypassing basic header-based inspection.
Detects potential exploitation attempts targeting unpatched Citrix NetScaler ADC or Gateway devices, specifically looking for unauthenticated requests to management or sensitive endpoints that contain command execution indicators. This rule is designed to identify activity associated with vulnerabilities similar to CVE-2026-88771.
Detects anomalous HTTP GET requests to the Microsoft Teams trap-exp/tokens endpoint that do not carry the expected 'Teams' user-agent string. This pattern is indicative of the DragonForce backdoor attempting to illicitly request Skype authentication tokens.
Detects indicators associated with the ChatGPT Custom GPT ClickFix campaign across process, network connection, DNS, and HTTP telemetry: known malicious file hashes, C2 IP addresses, the chattypetty.com domain, and known payload-hosting URLs.
Detects exploitation attempts against Microsoft SharePoint leveraging the ToolShell exploit chain, as well as subsequent post-exploitation webshell activity involving anomalous 'layoutNsp.aspx' naming conventions. This covers initial exploitation of vulnerabilities such as CVE-2025-49704 and associated variants, followed by the deployment of webshells associated with the ToolShell campaign.
Detects exploitation attempts against Microsoft SharePoint leveraging the ToolShell exploit chain, as well as subsequent post-exploitation webshell activity involving anomalous 'layoutNsp.aspx' naming conventions. This covers initial exploitation of vulnerabilities such as CVE-2025-49704 and associated variants, followed by the deployment of webshells associated with the ToolShell campaign.
Detects attempts to exploit CVE-2026-83549 in SonicWall SMA1000 appliances, where an attacker sends a malicious HTTP request to the 'workplace' URI containing shell metacharacters such as ';', '|', '`', or '$(' to execute arbitrary OS commands.
Detects a sequential pattern where a browser process (Chrome, Edge, or Safari) accesses an AI chat platform's conversation API, followed within 5 minutes by a network connection to a known unauthorized exfiltration destination (api.pbapi.xyz). This pattern suggests the potential use of a browser-based tool or extension (e.g., Poper Blocker or similar) to intercept and exfiltrate AI chat history.
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