Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects reconnaissance activity targeting Azure App Service instances, specifically looking for attempts to access web-shell-like files, WordPress administration paths, PHP-CGI endpoints, or LangFlow code validation paths. It identifies potential Storm-3168 actor infrastructure through known IOCs or through patterns of high-volume, path-diverse HTTP requests that deviate from typical noise, helping to distinguish targeted probing from common internet background scanning.
Detects Microsoft Exchange Control Panel (ECP) worker process (w3wp.exe) spawning suspicious child processes (e.g., cmd.exe, powershell.exe, mshta.exe) that are commonly associated with the exploitation of CVE-2020-0688. This vulnerability involves unsafe deserialization within the Exchange ECP ViewState handling, which allows an attacker to execute arbitrary code with SYSTEM privileges.
Detects instances where the PaperCut application server process (pc-app.exe) or its underlying Java processes (javaw.exe or java.exe) spawn command-line interpreters such as cmd.exe or powershell.exe. This behavior is indicative of potential post-exploitation activity, specifically Remote Code Execution (RCE) via vulnerabilities targeting PaperCut servers.
PetitPotam NTLM Coercion via EFSRPC
Cortex XDR
This rule detects the use of EfsRpcOpenFileRaw (opnum 0) against the EFSRPC interface. This specific function is abused by the PetitPotam exploit to coerce a Windows machine, typically a domain controller, into authenticating to an attacker-controlled host via NTLM. This forced authentication is a precursor to NTLM relay attacks such as those targeting Active Directory Certificate Services (AD CS).
Detects a suspected exploitation attempt of CVE-2026-81000, known as TUNderflow. The detection looks for a sequence of events where a process initializes a user namespace (unshare) followed by a kernel panic or error report from the tun/tap driver originating from the same process lineage within a short timeframe, which is indicative of an integer overflow exploit leading to kernel instability.
Detects anomalous patterns associated with potential WordPress comment moderation bypass. The rule identifies suspicious rapid sequences of comment submissions, use of unapproved comment preview endpoints with moderation hashes, or reuse of approved-commenter cookies. These behaviors can be indicative of an attacker attempting to preview or force-render stored XSS payloads to administrators or visitors before the comment has been officially approved.
Detects anomalous patterns associated with potential WordPress comment moderation bypass. The rule identifies suspicious rapid sequences of comment submissions, use of unapproved comment preview endpoints with moderation hashes, or reuse of approved-commenter cookies. These behaviors can be indicative of an attacker attempting to preview or force-render stored XSS payloads to administrators or visitors before the comment has been officially approved.
Detects anomalous patterns associated with potential WordPress comment moderation bypass. The rule identifies suspicious rapid sequences of comment submissions, use of unapproved comment preview endpoints with moderation hashes, or reuse of approved-commenter cookies. These behaviors can be indicative of an attacker attempting to preview or force-render stored XSS payloads to administrators or visitors before the comment has been officially approved.
Detects anomalous patterns associated with potential WordPress comment moderation bypass. The rule identifies suspicious rapid sequences of comment submissions, use of unapproved comment preview endpoints with moderation hashes, or reuse of approved-commenter cookies. These behaviors can be indicative of an attacker attempting to preview or force-render stored XSS payloads to administrators or visitors before the comment has been officially approved.
Detects potential zero-click administrator session hijacking by correlating a logged-in administrator accessing a page containing user-generated content (e.g., comments) followed immediately by a sensitive administrative action (e.g., plugin installation, user creation) within a 5-second window, suggesting automated script execution via an autofocus/onfocus handler triggered by the admin's browser.
Detects execution of common administrative and potentially malicious processes originating from the Microsoft Exchange Server worker process (w3wp.exe). This pattern is indicative of a web shell or post-exploitation activity where an attacker has achieved code execution on an Exchange server.
This rule monitors for suspicious process execution (e.g., cmd, powershell) spawned from PaperCut service processes (pc-app.exe, tomcat.exe) followed by a Domain Admin group membership change on the same device within a 30-minute window. This behavior is indicative of privilege escalation attempts following the exploitation of PaperCut vulnerabilities (CVE-2026-81578/CVE-2026-82078).
Detects Microsoft Exchange Control Panel (ECP) worker process (w3wp.exe) spawning suspicious child processes (e.g., cmd.exe, powershell.exe, mshta.exe) that are commonly associated with the exploitation of CVE-2020-0688. This vulnerability involves unsafe deserialization within the Exchange ECP ViewState handling, which allows an attacker to execute arbitrary code with SYSTEM privileges.
This rule detects attempts to exploit a vulnerability in Cisco IOS XE devices (specifically related to CVE-2025-20188) by identifying suspicious Authorization headers containing JWT tokens ('Bearer eyJ...') targeted at the '/webui/' endpoint. This behavior is associated with Akira ransomware exploitation efforts against networking infrastructure.
This rule detects potentially malicious child processes (cmd.exe or powershell.exe) spawned by PaperCut application processes (pc-app.exe, PCClient.exe, or java.exe), which may indicate exploitation attempts such as RCE following an authentication bypass.
Detects unauthenticated attempts to exploit CVE-2025-3248 in the Langflow 'validate/code' endpoint, characterized by missing authentication headers and the presence of suspicious Base64-encoded payloads or command execution keywords. Additionally, it identifies potential post-exploitation activity where Langflow processes spawn Python subprocesses.
Detects potential exploitation of CVE-2025-3248 in Langflow by identifying suspicious inbound network traffic targeting the /api/v1/validate/code endpoint, correlated with subsequent python child processes containing base64 decoding and execution primitives such as eval, exec, or subprocess.
Detects anomalous activity on WatchGuard Firebox VPN services, specifically monitoring for frequent daemon restarts or crashes (indicating potential RCE attempts) and high-volume bursts of IKE/ISAKMP negotiation failures (potentially indicating malformed packet attacks).
Detects network traffic associated with exploitation attempts against Dahua P2P relay services. The rules monitor for specific URI patterns ('/online/p2psrv/' and '/probe/device/') used to probe the device, as well as traffic containing a hardcoded AES-OFB initialization vector, which indicates attempts to exploit CVE-2025-31702.
Detects the creation or unauthorized usage of the 'p2pwn' backdoor account and associated 'p2password' credentials on Dahua devices. This indicator is linked to exploitation of CVE-2024-39943, which allows for persistent unauthorized access that survives device factory resets.
Detects network packets targeting the Dahua SDK service (port 37777) that match the signature of a crafted login request, specifically checking for the 0xFF/0x00 magic header and the 0x00/0xA0 opcode. This pattern is commonly associated with unauthorized authentication attempts, including brute-force attacks or exploitation of known authentication bypass vulnerabilities in Dahua devices.
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