Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects malicious activities associated with the SilkParasite campaign targeting Redis servers. The rules identify the initiation of a 'SLAVEOF' command to a rogue replication host, subsequent handshake (PSYNC/REPLCONF) with an external attacker-controlled node, and the modification of server configuration ('CONFIG SET dbfilename') to potentially facilitate unauthorized file persistence or data exfiltration through the Redis replication mechanism.
Detects malicious activities associated with the SilkParasite campaign targeting Redis servers. The rules identify the initiation of a 'SLAVEOF' command to a rogue replication host, subsequent handshake (PSYNC/REPLCONF) with an external attacker-controlled node, and the modification of server configuration ('CONFIG SET dbfilename') to potentially facilitate unauthorized file persistence or data exfiltration through the Redis replication mechanism.
Detects malicious activities associated with the SilkParasite campaign targeting Redis servers. The rules identify the initiation of a 'SLAVEOF' command to a rogue replication host, subsequent handshake (PSYNC/REPLCONF) with an external attacker-controlled node, and the modification of server configuration ('CONFIG SET dbfilename') to potentially facilitate unauthorized file persistence or data exfiltration through the Redis replication mechanism.
BigBear 2.0 IOC HUNT (Cortex XDR)
Cortex XDR
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
Detects browser extension manifest.json files requesting declarativeNetRequest and content_scripts/host_permissions covering AI assistant vendor domains (BragJack attack class)
Detects browser extension manifest.json files requesting declarativeNetRequest and content_scripts/host_permissions covering AI assistant vendor domains (BragJack attack class)
Detects a suspicious sequence of Git operations ('fetch' followed by 'checkout') executed within a 5-minute window, where the initiating process is a known AI-assisted development tool (Claude, Codex, Copilot, or Gemini). This behavioral pattern may indicate an attempt to use AI tooling to facilitate the unauthorized access or exfiltration of code repositories.
Detects the use of database or archiving command-line utilities to export data related to RADIUS services. The rule filters out known backup service accounts and authorized backup processes, flagging activity that occurs outside of standard business hours or is performed by accounts not explicitly designated for administrative or database maintenance tasks.
Detects administrator-privileged actions in JFrog Artifactory audit logs attributed to the 'token:anonymous' identity, the tell-tale signature left when CVE-2026-42018 (unauthenticated token retrieval) is chained with CVE-2026-42016 (privilege escalation) to mint an admin-scope token that retains the anonymous username. Also relevant to CVE-2026-82329 authentication bypass activity.
Detects files containing specific structural footers (537 bytes) and RSA key generation strings commonly associated with ransomware encryption. The footer indicates the use of RSA-4096 to encrypt files, with modes for full, striped, or header-only encryption patterns.
Detects DNS resolution requests for graph.microsoft.com initiated by a python interpreter (python.exe, python3.exe, or pythonw.exe). This activity may indicate a script or custom tool communicating with Microsoft Graph API, which is frequently used for data collection, exfiltration, or cloud service interaction in adversarial campaigns.
Detects DNS resolution requests to 'graph.microsoft.com' on endpoint devices. This is intended to act as a precursor indicator for potential Microsoft 365 or Azure environment enumeration and discovery activities, which would typically involve subsequent API calls.
This rule detects internal network activity (DNS queries, network connections, and security logs) communicating with domains associated with the GhostCode phishing kit. These domains are typically used to host credential harvesting pages or phishing infrastructure.
This rule detects shell processes (sh or bash) being spawned from suspicious, commonly writable directories (e.g., /tmp, /dev/shm) within a short window of file system activity (creation, modification, or deletion) and associated MQTT protocol network communication. This pattern is indicative of potential malware staging or command-and-control activity on Linux systems.
Detects the creation of files or folders containing suspicious command-line parameters associated with tar or Parallels toolchain injection, specifically looking for the 'use-compress-program' flag which can be abused for command injection.
Detects the 'prl_disp_service' process spawning 'tar' with the '--use-compress-program' flag set to an unconventional binary. This behavior is associated with the exploitation of ParaShells (CVE-2026-90894), where an attacker leverages the compression program hook in 'tar' to execute arbitrary commands with root privileges.
Detects interaction with known infrastructure associated with the PREY-0058 campaign, which utilizes Adversary-in-the-Middle (AiTM) phishing lures mimicking passkey or MFA registration pages to target Microsoft 365 and other SaaS applications.
Detects automated searching (via grep, findstr, or select-string) for sensitive strings (e.g., API keys, private keys, wallet data) across multiple occurrences on a single host, or the creation of suspicious sensitive files (e.g., .env, credentials, wallet.dat) on devices where such automated sweeping activity has been observed. This pattern indicates an adversary staging data for exfiltration.
Detects automated searching (via grep, findstr, or select-string) for sensitive strings (e.g., API keys, private keys, wallet data) across multiple occurrences on a single host, or the creation of suspicious sensitive files (e.g., .env, credentials, wallet.dat) on devices where such automated sweeping activity has been observed. This pattern indicates an adversary staging data for exfiltration.
Detects unauthorized access and data retrieval attempts from a MinIO object storage instance using default administration credentials (minioadmin:minioadmin). The rule monitors both command-line execution of MinIO client (mc) operations and network connections to MinIO service ports (9000/9001) that involve the use of the default credential pair.
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