Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potential browser-based manipulation or phishing campaigns where a user visits a known loader script host (paste.sh) and subsequently visits cryptocurrency trading sites (SimpleSwap, SwapZone) within a short time window. This behavior is indicative of an injected script modifying the browser's view of trading sites to display deceptive 'Loyalty Bonus' or discount banners to lure users into transactions.
This rule detects potential browser-based wallet address substitution attacks by monitoring for a specific sequence of network connections within a single browser process. It looks for connections to cryptocurrency swap platforms (SimpleSwap/SwapZone) closely followed by the retrieval of an external loader script (paste.sh) and a Google Sheets Visualization API payload, which is a known technique for injecting malicious scripts that intercept and modify XHR/fetch responses in the user's browser.
This rule detects the use of package managers like 'pip' or 'npm' to install specific suspicious software packages or tools often associated with supply chain compromise or malicious library installation (e.g., 'huggingface-cli', 'unused-imports', 'react-codeshift').
Detects the installation of software packages in build or CI pipelines where the package was published to its registry between 30 and 90 days prior to being first used in the environment. This pattern is indicative of potential dependency confusion or typosquatting attacks, where adversaries use newly created packages to deliver malicious code.
Detects package manager processes (npm, pip, python) executing install-related commands followed by the creation or modification of sensitive files (SSH keys, cloud credentials, shell configurations) within a short timeframe. This behavior is indicative of potential supply chain attacks where a malicious package attempts to steal credentials or secrets upon installation.
This rule detects the use of the curl command-line utility to communicate with a specific IP address (162.0.239.85) on port 3000, specifically targeting a path associated with 'mac' tasks. This pattern is indicative of a downloader or a staged payload retrieval from an external command-and-control server.
Detects KATARU IoT malware samples embedding the DirtyFrag (CVE-2026-43284) Linux local privilege escalation exploit copied from public PoC code, as part of a chained LPE attempt targeting root shell spawning
Detects the presence of PostgreSQL logical decoding output plugins (shared libraries) that export the '_PG_init' initialization function and contain strings indicative of unauthorized catalog modification, privilege escalation, or persistence attempts, often associated with PostGREShell-style attack vectors (CVE-2026-6471).
Detects the malicious NFe-themed ZIP dropper MOTOROLA_MOB_COM_NFe_2026-07-16_21781624.zip by known hash and archive structure
The following analytic detects execution of the socat utility with a remote TCP or OpenSSL connection and local terminal echo disabled.
This configuration may be used for interactive terminal sessions, password handling, automation, or network debugging.
When observed in an unexpected context, such as execution by an unusual parent process or connection to an untrusted endpoint, it may indicate suspicious remote access activity.
This configuration may be used for interactive terminal sessions, password handling, automation, or network debugging.
When observed in an unexpected context, such as execution by an unusual parent process or connection to an untrusted endpoint, it may indicate suspicious remote access activity.
Detects DragonForce ransomware note (readme.txt) referencing known DragonForce Tor negotiation/blog onion addresses
Detects Linux processes masquerading as 'php-fpm' or 'postgres' that match known SHA-256 hashes associated with the RedTail malware family. The rule identifies processes attempting to hide their identity using techniques similar to prctl(PR_SET_NAME) to rename themselves while running malicious code.
Detects forged NDA documents used in Phantom Deal fake acquisition fraud, requiring corroborating secrecy-clause language and M&A-fraud-specific wire-transfer/payment phrasing alongside impersonated advisory brands
Detects forged NDA documents used in Phantom Deal fake acquisition fraud, requiring corroborating secrecy-clause language and M&A-fraud-specific wire-transfer/payment phrasing alongside impersonated advisory brands
Detects forged Citibank payment confirmation/account statement PDFs used in Phantom Deal BPC fraud to falsely demonstrate wire transfer progress; requires combination of bank branding with fraud-specific SWIFT/routing/CTA artifacts
Detects unauthorized devices or processes attempting to communicate with the Telegram Bot API (/sendMessage or /sendDocument) and monitors for credential-related terms within the request metadata. This often indicates the use of Telegram as a command-and-control (C2) channel for data exfiltration or credential theft.
Detects the creation of a Linux named pipe (mkfifo) used in conjunction with netcat (nc) to establish a reverse shell connection to a specific C2 IP address or port 3090. This combination of commands is a common technique used by attackers to achieve remote command execution.
Detects the presence of the known Cyclops Blink implant by file hash (SHA256) on an endpoint, followed by a network connection to associated C2 infrastructure within one hour, aligning with typical implant beaconing or file transfer behavior.
Detects the execution of a Java JAR file (specifically cmd.jar) that is initiated by a shell process (sh). This behavior may indicate an attempt to run malicious Java-based payloads or secondary scripts through a command-line interface.
Detects the creation of a Linux named pipe (mkfifo) used in conjunction with netcat (nc) to establish a reverse shell connection to a specific C2 IP address or port 3090. This combination of commands is a common technique used by attackers to achieve remote command execution.
Matches known HOOKEDGE malware samples attributed to BlueDelta (APT28) via SHA256 hash comparison
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