Detections

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

7,141 detections

This rule detects PolyShell webshell activity on Linux systems, specifically targeting Magento e-commerce platforms. It identifies processes executing from or targeting a suspicious media directory (`/var/www/prod/shared/pub/media/custom_options/quote/i/n/`) in conjunction with `curl` processes retrieving payloads from the `gsocket.io` C2 network. The detection logic combines indicators of webshell presence (execution from a specific directory) with C2 communication (curl to gsocket.io).
Tom Saul@ts83
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Detections.ai Community
7 months ago
5049
Detects the execution of a binary from the path /tmp/pglog, which is used as a
dropper location by the malicious sysmon.py script associated with the TeamPCP
Trivy supply chain malware.
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Tim Peck@timpeck
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Detections.ai Community
7 months ago
51109
Detects DNS queries to Solana RPC endpoints associated with GlassWorm/ForceMemo blockchain-based C2. The malware queries up to 9 Solana RPC endpoints to retrieve C2 instructions from on-chain transaction memos. A Python process resolving any of these domains is anomalous outside of cryptocurrency development environments.
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Tim Peck@timpeck
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SecOps Signals
7 months ago
40151
Detects Zimbra SOAP API requests attempting to enable IMAP access by setting zimbraPrefImapEnabled. This is a known persistence technique used by threat actors (such as in Operation GhostMail) to silently enable mail protocols, bypassing the web UI to maintain access using stolen app-specific passwords.
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Elgonad .@elgonad
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Detections.ai Community
7 months ago
0040
This rule detects network connections to a predefined list of known Microstealer malicious domains. These domains are often associated with malware command and control (C2) infrastructure, phishing, or other malicious activities. Monitoring connections to such domains can help identify compromised systems or active malware infections.
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Ankit Mehta@Secvyn
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Detections.ai Community
7 months ago
160164
High-fidelity correlation detecting DPRK Contagious Trader npm malware persistence: Node.js process modifying authorized_keys followed by ufw allowing SSH. Targets cryptocurrency traders via poisoned GitHub trading bot repositories.
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Tim Peck@timpeck
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SecOps Signals
7 months ago
40125
Detects ELF binaries with suspicious capabilities for privilege escalation, such as shell execution and process capabilities
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Danny Y@zendannyy
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YARA
7 months ago
2031
Detects Cursor IDE spawning download utilities or LOLBins commonly used for
payload staging. Directly maps to the CursorJack technique where a malicious
MCP deeplink encodes a command that downloads and executes a remote payload.
Low false-positive rate — these child processes have no legitimate use when
launched directly by Cursor.
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Bryant Smith@flowstate
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Detections.ai Community
7 months ago
60111
Detects the execution of cat, followed by network connections. Specifically /dev/tcp/ redirection
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Danny Y@zendannyy
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Detections.ai Community
7 months ago
0142
Detects the creation of an app-specific password named 'ZimbraWeb' via Zimbra SOAP API. This specific persistent credential name is a known mechanism utilized in the Operation GhostMail campaign by a Russian APT.
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Elgonad .@elgonad
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Detections.ai Community
7 months ago
0032
This rule detects network connections to specific deep link patterns associated with messaging applications like Telegram, WhatsApp, and Signal. Such deep links can be used in phishing attempts or to initiate actions on a user's device through these applications.
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Ankit Mehta@Secvyn
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Detections.ai Community
7 months ago
140176
Detects the Cursor IDE process spawning shell interpreters or
network utilities. This behavior is associated with the CursorJack technique,
where a malicious Model Context Protocol (MCP) server configuration executes
commands for initial access or payload staging.
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Tim Peck@timpeck
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Detections.ai Community
7 months ago
6194
Detects LampoRAT malware based on known file hash execution.
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Ankit Mehta@Secvyn
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Detections.ai Community
7 months ago
5065
This rule detects successful SSH login attempts from external IP addresses (not within common private IP ranges). It specifically looks for 'Accepted' messages in syslog from the 'sshd' process and filters out internal source IPs.
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Ankit Mehta@Secvyn
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Detections.ai Community
7 months ago
130116
Detects a script interpreter process (like node.js or bun) spawning a known credential scanning tool (e.g., trufflehog, gitleaks).
This behavior is indicative of an attempt to find and steal secrets, as seen in the "Shai-Hulud: The Second Coming" campaign.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
7 months ago
102
This rule detects potential SSH brute force attacks by monitoring syslog for multiple failed SSH login attempts, connection closures, or invalid user attempts from a single source IP address within a short time frame. It specifically looks for keywords like 'error', 'Connection closed', 'authentication failure', and 'invalid user' in SSHD logs.
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Ankit Mehta@Secvyn
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Detections.ai Community
7 months ago
6095
This rule detects potential SSH brute force attacks by identifying multiple failed password attempts from a single source IP address to a specific computer within a 5-minute window. It specifically looks for 'Failed password' messages in syslog entries from the 'sshd' process.
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Ankit Mehta@Secvyn
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Detections.ai Community
7 months ago
2073
Detects multiple failed SSH login attempts from a single source IP address, indicating a potential brute force attack. The rule identifies 'Invalid user' or 'Failed password' messages in syslog from the 'sshd' process and groups them by source IP and time to count unique attempted users and total attempts. A threshold of more than 5 attempted users from a single source IP within a 10-minute window triggers an alert.
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Ankit Mehta@Secvyn
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Detections.ai Community
7 months ago
1061
detects BPFDoor .lock and .pid files access in temporary file storage facility
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
7 months ago
000
This rule detects attempts to authenticate to SSH using GSSAPI (Generic Security Service Application Programming Interface). While GSSAPI can be used for legitimate authentication, its presence in logs might indicate an attacker attempting to use alternative authentication methods, potentially for lateral movement or privilege escalation, especially if unexpected in the environment.
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Ankit Mehta@Secvyn
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Detections.ai Community
7 months ago
2055
This rule detects successful SSH authentications using the GSSAPI-with-MIC mechanism. This can indicate legitimate user logins or, in some cases, an adversary using valid credentials to access a system via SSH.
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Ankit Mehta@Secvyn
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Detections.ai Community
7 months ago
1041
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