Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

3,324 detections

This rule detects attempts at path traversal vulnerabilities by looking for the string "../../../" in HTTP URIs. This pattern is commonly used by attackers to navigate directory structures outside of the intended web root.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects attempts to inject client-side scripts, commonly known as Cross-Site Scripting (XSS), by looking for the string "<script>" within the HTTP URI of network traffic. This is a common indicator of an attacker trying to execute malicious scripts in a user's browser.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects attempts at SQL Injection by looking for the specific string "' OR '1'='1" within the HTTP URI. This string is a common payload used in SQL injection attacks to bypass authentication or extract data by always evaluating to true.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects an anomaly in Kerberos Ticket Granting Ticket (TGT) requests. Specifically, it triggers an alert if more than 50 UDP Kerberos TGT requests are observed from a single source IP address within a 10-second window to the home network on port 88. This behavior could indicate an attempt to enumerate valid user accounts or perform credential stuffing/brute-force attacks against the Kerberos authentication system, potentially as part of a privilege escalation attempt (ATT&CK T1134).
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects HTTP traffic where the URI contains ".sct" (scriptlet) in a case-insensitive manner. This is indicative of an attempt to download a scriptlet, which can be used by MSHTA (Microsoft HTML Application host) for defense evasion, often to execute malicious code.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects attempts at SQL Injection using the 'UNION SELECT' statement within HTTP URI requests. It specifically looks for the case-insensitive string 'UNION SELECT' in the URI of HTTP traffic flowing to the server.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects the presence of a large Base64 encoded string (at least 100 characters) within the HTTP client body of network traffic. This pattern is often used by attackers to obfuscate malicious payloads, aligning with the MITRE ATT&CK technique T1027 for Defense Evasion.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects potential web shell access by looking for HTTP requests to PHP files that contain a 'cmd=' parameter in the URI. This pattern is commonly used by web shells to execute commands on a compromised web server, aligning with MITRE ATT&CK technique T1505.003 for web shell persistence.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects a password spraying attack targeting LDAP services. It triggers an alert if there are 50 or more TCP connections to port 389 (LDAP) on the home network within a 60-second window, originating from the same destination IP address. This pattern is indicative of an attacker attempting to authenticate with a small set of passwords against many accounts.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects internal Server Message Block (SMB) lateral movement attempts. It triggers when there are 10 or more SMB connections (identified by the "|FF|SMB" content signature) from a single source IP address to any destination on port 445 within a 60-second window, within the home network. This behavior is indicative of an attacker attempting to move laterally within a network using SMB.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects attempts to list processes via a web shell by looking for the string "tasklist" (case-insensitive) in the HTTP URI. This activity is indicative of an attacker using a compromised web server to gain information about the system, specifically process enumeration, which aligns with the MITRE ATT&CK technique T1057 (Process Discovery).
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects a TCP SYN Flood Denial of Service (DoS) attack. It triggers when a high volume of TCP SYN packets (1000 packets within 5 seconds) are observed targeting a single destination IP address within the HOME_NET, indicating an attempt to overwhelm the target's network resources.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects the creation of the '\REDSUN' named pipe, which is used by the CVE-2026-41091 exploit for inter-process communication. This pipe facilitates the transfer of session ID information between the user-level exploit and the SYSTEM-level payload.
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Bryant Smith@flowstate
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Detections.ai Community
5 months ago
2010
Detects the creation of specific registry keys in the .DEFAULT user hive associated with the MiniPlasma (CVE-2020-17103) proof-of-concept exploit. This exploit is a privilege escalation vulnerability.
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Elgonad .@elgonad
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Detections.ai Community
5 months ago
7059
Detects the creation of the 'TieringEngineService.exe' bait file within a specific RedSun temporary directory pattern (RS-{GUID}) associated with the RedSun exploit (CVE-2026-41091). This activity indicates an attempt to exploit Windows Defender.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
309
This rule detects the creation of new processes where the command line contains keywords such as 'exploit' or 'vulnerability'. This could indicate an attempt to execute an exploit or leverage a known vulnerability, potentially as part of an attack.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
000
Detects attempts to bypass User Account Control (UAC) by hijacking the execution flow of the auto-elevated fodhelper.exe binary via modifications to the ms-settings registry keys in the HKCU hive. Silent Stealer leverages this specific registry hijack to seamlessly gain elevated privileges without triggering user prompts, an essential step for its deep credential extraction processes.
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Duo Tech@duotech
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Detections.ai Community
5 months ago
1011
This rule detects potential HTTP/2 Rapid Reset or similar denial-of-service (DoS) attacks by identifying an unusually high number of streams and total requests within a single HTTP/2 network connection over a one-minute interval. Such behavior is indicative of an attacker attempting to exhaust server resources by rapidly opening and closing streams.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
000
This rule detects suspicious DLL side-loading activity. It looks for DLL files being loaded from common user-writable or temporary directories (like `\temp\` or `\users\`) by legitimate Windows processes such as `rundll32.exe`, `explorer.exe`, or `svchost.exe`. The rule specifically flags instances where a DLL is loaded more than 3 times within an hour by these processes, indicating potential malicious activity where an adversary might be attempting to execute their own malicious DLLs by hijacking the loading process of a legitimate application.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
000
This rule detects suspicious DLL injection activity by identifying multiple DLL loads from unusual folders such as 'Temp', 'AppData', or 'Windows\Temp'. Adversaries often drop malicious DLLs into these directories and then inject them into legitimate processes to achieve persistence, privilege escalation, or defense evasion. The rule counts the number of DLL loads from these suspicious locations by the same initiating process on the same device, triggering an alert if five or more such loads occur, indicating a concerted malicious effort.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
000
This rule detects the loading of known vulnerable drivers (BYOVD) or drivers from suspicious user-writable paths, combined with the termination of security products. This combination of events is highly indicative of an adversary attempting to gain kernel-level privileges and disable defenses.
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Thiru N@Iamthiru
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Detections.ai Community
5 months ago
80147
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