Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects network activity related to the exploitation of the CVE-2025-31702 vulnerability in Dahua P2P Relay services. The rules monitor for probe attempts, device parameter fetching (randsalt), serial number enumeration bursts, and successful no-auth channel responses, indicating a bypass of authentication mechanisms on vulnerable Dahua devices.
Detects attempts to exploit CVE-2021-33045, an authentication bypass vulnerability in certain Dahua camera firmware. The attack involves sending a crafted login request containing 'global.login', 'clientType', and 'Loopback' parameters, which allows an attacker to bypass authentication mechanisms.
Detects high-concurrency brute-force attempts against Dahua Easy4IP-enabled devices targeting port 37777, identified by specific binary patterns (opcode 0xA0) in the packet payload. This indicates an automated attempt to compromise device authentication.
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.
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 specific FTP commands (STOR, RETR, TYPE I) and passive mode responses directed to or originating from identified malicious IP addresses associated with the LucidRook threat actor. This rule monitors for potential file exfiltration, payload retrieval, and command-and-control communication over the FTP protocol.
Detects repeated authentication login attempts (opcode 0xA0) against Dahua Easy4IP devices over TCP port 37777, indicative of a brute-force or credential stuffing attack.
Detects high-frequency login attempts directed at the management CGI interface of Dahua camera devices. The rule identifies multiple attempts from a specific source IP towards the camera's authentication endpoints (login, RPC2_Login) over common management ports (80, 37777).
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 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.
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 signs of Android Wireless Debugging being enabled and potentially leveraged, including the toggle of the ADB_WIFI_ENABLED setting, pairing code generation, accessibility interactions confirming pairing, and the instantiation of a TCP listener by the adbd process.
Detects attempts to bypass the Redis Lua scripting environment sandbox by injecting 'require' and 'dofile' commands within an 'EVAL' request. These commands are typically used to load external modules or files, which, if successful, could allow an attacker to achieve arbitrary code execution on the server hosting the Redis instance.
Detects unauthorized attempts to access the Marimo Notebook terminal via a WebSocket connection, indicative of an exploit attempt targeting CVE-2026-39987.
Detects incoming HTTP requests to Microsoft Exchange servers that match patterns indicative of exploitation attempts for the ProxyLogon SSRF vulnerability (CVE-2021-26855). This includes detecting specific manipulation of the Autodiscover service and the injection of X-BEResource or X-AnonResource-Backend headers, which were commonly used during the initial access phase of this campaign.
Detects execution of known malicious files that subsequently interact with temporary directory debug logs and establish network listening sockets within a short timeframe. This behavior pattern is characteristic of post-exploitation activity, specifically the staging and operation of listener modules.
This rule monitors for network connections, firewall traffic, and Entra ID authentication events involving known malicious IP addresses (the 'Wall of Shame'). The rule specifically flags interactions occurring over common VPN ports, suggesting potential unauthorized access or persistence attempts via VPN services.
Detects repeated, suspicious HTTP requests targeting sensitive management or administrative interfaces (e.g., /admin, /wp-admin, /cgi-bin) that utilize obfuscated, unusually encoded payloads. This activity is consistent with automated attempts to exploit recently disclosed vulnerabilities where traditional WAF/IDS signatures have been bypassed or failed to trigger high-confidence alerts.
Detects network activity characteristic of the CVE-2019-0708 (BlueKeep) Remote Desktop Services exploit, including specific RDP negotiation patterns and subsequent RDP service crashes or resets potentially indicative of a successful or failed exploitation attempt.
In DeviceNetworkEvents, we can find both JA4 and JA4S inside AdditionalFields for some TLS connections. This is interesting because we can look at both sides of the same TLS communication. We can compare clients, servers and JA4/JA4S combinations, and look for patterns or connections that behave differently from what we normally see. The following KQL extracts and decodes both fingerprints from the same network event.
Detects HTTP requests containing malicious JDBC strings targeting PaperCut NG/MF print management software, which are indicative of attempts to exploit authentication bypass and remote code execution vulnerabilities (CVE-2026-81578, CVE-2026-82078).
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