Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
7,277 detections
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Detects a single host rapidly initiating outbound Telnet (port 23) or SSH (port 22) connection attempts against a large number of distinct remote IP addresses in a short window. This behavior is indicative of bot-agent scanners, such as those associated with IoT botnets, attempting to propagate by performing brute-force login attempts using default credential pairs.
Detects unauthenticated HTTP POST requests targeting the /api/v1/validate/code endpoint in Langflow, which is indicative of an exploitation attempt associated with CVE-2025-3248.
Detects the use of container inspection tools such as 'dive' or 'docker inspect' to scan image layers or environment variables, specifically targeting the potential exfiltration of credentials or configuration secrets from container images or runtime environments.
This query hunts for suspicious cases where Warp Terminal or a Warp-related parent process spawns Unix-like shell interpreters such as sh, bash, zsh, fish, or dash, and executes commands using shell execution patterns like -c, /bin/sh, sh -c, or bash -c. It detects suspicious post-condition behavior consistent with exploitation attempts for CVE-2026-48703 and CVE-2026-48731
Detects the loader-pool.db PNG-format file used to smuggle encrypted payload modules inside IDAT chunks, reassembled after a sleep-based evasion delay
Detects crontab modifications referencing hw_probe.pyc, the cron-based persistence mechanism used by the mrmustard stealer.
Detects obfuscated PHP code, specifically webshells, that utilize apostrophe-based concatenation (e.g., 'a'.'b'.'c') to break up strings into 1-3 character chunks. This technique is often used to evade signature-based detection.
Detects telemetry consistent with GigaWiper's command 8 'route manager' function, which binds or unbinds targeted routing keys against a RabbitMQ 'Topic' exchange using a mode of operation (1/2/3) to enable non-broadcast, targeted command delivery over AMQP C2 channels.
Detects Node.js processes spawning child Node.js processes where the command line references known IPFS gateways, the 'sync.js' script name, or specific Content Identifiers (CIDs) associated with Miasma malware or related decentralized distribution activity.
Detects the creation of specific sensitive file names (AGENTS.md, MEMORY.md, IDENTITY.md, USER.md, SOUL.md) within 30 minutes of a process execution containing email-related keywords (email, mail, inbox). This pattern is often indicative of an adversary staging sensitive information for exfiltration after gaining access to or interacting with an email client or communication tool.
Detects outbound network connections to identified infrastructure associated with 'Pink' (CL-CRI-1147) passkey-enrollment vishing campaigns. These operators use phone-based social engineering to direct victims to phishing domains that relay credentials and MFA tokens in real-time to register attacker-controlled passkeys. The rule monitors for specific DNS query patterns containing passkey-related keywords and known malicious IP addresses used by the threat group.
Detects process command lines using curl to query the Azure Instance Metadata Service (IMDS) endpoint (169.254.169.254) for OAuth tokens. This behavior is indicative of an attacker attempting to leverage an Azure Managed Identity associated with a compromised virtual machine to obtain temporary security tokens for unauthorized access to other Azure resources.
This rule detects instances of the 'su' utility being executed in a manner inconsistent with normal system administration patterns. By filtering out common, expected parent processes (such as login shells, terminal multiplexers, or established system services) and identifying 'su' command-line execution or shell commands attempting to invoke it, the rule flags potentially malicious privilege escalation attempts, such as those exploiting local vulnerabilities.
Detects Node.js processes executing with command-line arguments containing potential GitHub personal access tokens (PAT) or secrets while simultaneously initiating a network connection to the GitHub API. This behavior is indicative of potential credential abuse or automated exfiltration of sensitive tokens.
Detects the execution of the 'encrypter-linux-x86' binary on Linux systems, specifically looking for command-line arguments indicative of file encryption activity (-e or --esxi). This binary name is frequently associated with ransomware targeting virtualized environments.
Detects potential residential proxy usage based on network connections to known proxy-related ports and proxy infrastructure indicators in CrowdStrike Falcon logs.
Detects unauthenticated exploitation attempts targeting WordPress sites using wp2shell techniques. The rule identifies malicious payloads attempting to leverage RSS, Navigation, or Calendar Gutenberg blocks in conjunction with the batch REST API to achieve Remote Code Execution.
Detects file access or read operations performed against known password manager database files (1Password, Bitwarden). This activity may indicate an attempt to acquire credentials from local storage.
Detects a WordPress-context web server process spawning a non-shell interpreter or downloader (curl|bash, python -c, wget/curl via sh -c) to retrieve second-stage tooling post-exploitation.
Detects a WordPress-context web server process spawning a non-shell interpreter or downloader (curl|bash, python -c, wget/curl via sh -c) to retrieve second-stage tooling post-exploitation.
Detects discovery and SUID/SGID enumeration commands (whoami, hostname, id, uname, cat /etc/passwd, find -perm) executed by a shell spawned from a WordPress plugins directory by a web server process.
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