Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
7,270 detections
Filters
Last updated
All Time
Detection languages
3,342
1,086
505
478
472
Contributors
1,824
1,622
874
505
300
Categories
3,031
2,542
1,076
1,049
929
Platforms
39,960
7,270
6,537
3,868
3,651
Products / Services
1,331
1,109
991
658
494
MITRE Techniques
2,271
1,336
1,318
904
885
CVEs
66
65
33
32
28
IDS Classtypes
81
80
56
27
10
IDS Protocols
149
98
6
5
4
Detects malicious activities associated with the SCKit worm, specifically targeting package publishing via npm/twine, GitHub Actions workflow injection (runtime-update.yml), and the dropping of postinstall propagation stubs (bootstrap.cjs) when initiated by SCKit processes.
Detects malicious activities associated with the SCKit worm, specifically targeting package publishing via npm/twine, GitHub Actions workflow injection (runtime-update.yml), and the dropping of postinstall propagation stubs (bootstrap.cjs) when initiated by SCKit processes.
Detects malicious activities associated with the SCKit worm, specifically targeting package publishing via npm/twine, GitHub Actions workflow injection (runtime-update.yml), and the dropping of postinstall propagation stubs (bootstrap.cjs) when initiated by SCKit processes.
Detects the Sckit Go implant accessing sensitive local configuration and credential files, including SSH keys, cloud CLI tokens, and package manager credentials. The rule monitors for file read events initiated by processes identified as 'sckit' or processes with specific command line arguments.
Detects the Sckit Go implant accessing sensitive local configuration and credential files, including SSH keys, cloud CLI tokens, and package manager credentials. The rule monitors for file read events initiated by processes identified as 'sckit' or processes with specific command line arguments.
Detects the Sckit Go implant accessing sensitive local configuration and credential files, including SSH keys, cloud CLI tokens, and package manager credentials. The rule monitors for file read events initiated by processes identified as 'sckit' or processes with specific command line arguments.
Detects the Sckit Go implant accessing sensitive local configuration and credential files, including SSH keys, cloud CLI tokens, and package manager credentials. The rule monitors for file read events initiated by processes identified as 'sckit' or processes with specific command line arguments.
Detects network activity related to the BEAST ransomware targeting VMware ESXi systems. The rule identifies attempts to stage encryption operations via SSH, including detecting references to known filenames ('encryptor.elf', 'beast_esxi') and the use of the 'vim-cmd' utility to power off virtual machines as part of the preparation for file encryption.
This rule detects malicious shell execution patterns associated with ClickFix-based social engineering campaigns, such as the Macfinger AMOS campaign. It monitors for the execution of common shell utilities (curl, wget, bash, sh) with suspicious command-line parameters ('force=1') interacting with known malicious IP addresses (45.150.33.128), as well as the execution of specific malicious files or network callbacks identified in these campaigns.
Detects the execution of bash commands containing base64 decoding instructions, often used by adversaries to decode and execute obfuscated scripts or payloads. The rule specifically looks for command lines invoking base64 along with keywords like 'echo' or 'reCAPTCHA', which are commonly associated with malicious droppers or phishing-related scripts.
Detects malicious prompt injection payloads targeting AI agent frameworks, specifically designed to bypass Semantic Kernel's filter blocklist. The payload utilizes Python reflection mechanisms by crawling the type hierarchy (starting from a tuple) to locate and invoke 'BuiltinImporter.load_module()', effectively bypassing filters that look for direct references to forbidden modules or functions like '__import__', 'eval', or 'os'. This allows for indirect arbitrary command execution within the agent's application context.
Detects incoming HTTP POST requests to the Zimbra OnlyOffice document handler containing path traversal sequences (e.g., '..'). This pattern is indicative of an attempt to exploit CVE-2026-93643 by manipulating document save or callback paths to access unauthorized files on the server.
Detects the execution of known Python scripts (CES_Enroll.py, ntlm_ces_relay.py, ces_negotiate_ntlm.py) often associated with NTLM relay attacks or forced authentication techniques. These scripts leverage Python to interact with authentication protocols or relay requests.
Detects the execution of known Python scripts (CES_Enroll.py, ntlm_ces_relay.py, ces_negotiate_ntlm.py) often associated with NTLM relay attacks or forced authentication techniques. These scripts leverage Python to interact with authentication protocols or relay requests.
The following analytic detects attempts to exploit the ConnectWise ScreenConnect CVE-2024-1709 vulnerability, which allows attackers to bypass authentication via alternate paths or channels. It leverages Nginx access logs to identify web requests to the SetupWizard.aspx page, indicating potential exploitation. This activity is significant as it can lead to unauthorized administrative access and remote code execution. If confirmed malicious, attackers could create administrative users and gain full control over the affected ScreenConnect instance, posing severe security risks. Immediate remediation by updating to version 23.9.8 or above is recommended.
Detects anomalous file access patterns by Semantic Kernel agent processes attempting to read sensitive host files such as SSH keys, configuration files, and credential stores. This activity is indicative of malicious use of agent file-transfer capabilities, potentially exploiting path traversal vulnerabilities or prompt injection to exfiltrate sensitive data from the host environment into the agent sandbox.
Detects anomalous file access patterns by Semantic Kernel agent processes attempting to read sensitive host files such as SSH keys, configuration files, and credential stores. This activity is indicative of malicious use of agent file-transfer capabilities, potentially exploiting path traversal vulnerabilities or prompt injection to exfiltrate sensitive data from the host environment into the agent sandbox.
Detects instances where package management tools (pip, npm, docker) spawn child processes that immediately attempt to read sensitive files (SSH keys, cloud/container credentials) or perform outbound network connections. This behavior is indicative of a trojanized supply-chain package executing malicious post-install logic to exfiltrate secrets or establish initial communication with a C2 server.
Detects anomalous activities within CI/CD runner environments, specifically targeting unauthorized processes attempting to access OIDC identity tokens or executing package publication commands (e.g., npm, twine) outside of standard runner execution workflows. This technique is consistent with supply chain compromise efforts to exfiltrate identity tokens and publish malicious artifacts.
Detects the presence of prompt-injection framing and malicious intent instructions within the first few lines of source code files. These strings are designed to deceive LLM-based SAST or code review tools into ignoring, misclassifying, or bypassing security analysis of malicious code.
Detects anomalous child processes spawned by a Langflow server process that subsequently search for sensitive information, such as cloud credentials or database connection strings, within the command line arguments. This behavioral pattern is indicative of remote code execution exploitation followed by credential harvesting, potentially targeting vulnerabilities like CVE-2026-33017.
Page 48 of 347