Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
2,686 detections
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Detects GitHub OAuth authorization, repository cloning, or ZIP downloads from source IP addresses that have not been observed for the specific actor within the past 30 days. This rule helps identify potential account compromise or token theft where an attacker attempts to access repository data from a new location, while specifically excluding bot/service accounts known for rotating CI infrastructure IPs.
Detects outbound HTTP POST requests to the 'vpugy.vcqi' domain, which is associated with RevStealer malware exfiltration. The rule specifically looks for traffic using a spoofed Chrome/147 user-agent and specific cookie artifacts used for session tracking in the exfiltration communication.
Detects outbound web or proxy connections to known consumer-grade cloud storage and file-sharing services. This activity is often indicative of data exfiltration, where an adversary uploads staged or archived sensitive data to third-party file hosting services (e.g., Mega, Dropbox, transfer.sh, pastebin) to bypass traditional enterprise exfiltration controls.
Detects an identity that performs a 'ListSecrets' operation followed by a high volume of 'GetSecretValue' or 'BatchGetSecretValue' requests within a short timeframe (15 minutes). This behavioral pattern is indicative of automated bulk exfiltration of secrets from AWS Secrets Manager, a common activity following an initial cloud environment compromise.
Detects anomalous DNS traffic patterns indicative of DNS tunneling, which is often used for command-and-control (C2) communication or data exfiltration. The rule identifies suspicious indicators such as abnormally long subdomain labels (potentially containing encoded payloads), misuse of TXT or NULL record types for data transport, and high-frequency queries to a single apex domain, while excluding common CDN providers to reduce false positives.
Detects rapid mass-cloning or downloading of private GitHub repositories shortly after an OAuth token authorization, originating from IP addresses or countries not previously associated with the user account. This behavior is indicative of unauthorized bulk data extraction using compromised credentials, consistent with threat actor activity (e.g., TeamPCP/UNC6780).
Detects the creation and immediate deletion of a GitHub OAuth token that is used to clone or fetch a large volume of private repositories within a short lifespan. This behavior is indicative of an adversary using a temporary, ephemeral token to perform rapid data exfiltration or mass reconnaissance on source code repositories.
Detects outbound HTTP requests to the Telegram Bot API associated with the malicious 'indexed-btree' npm package. The rule specifically monitors for hardcoded Telegram bot tokens and chat IDs used for data exfiltration.
Detects unauthorized outbound HTTP requests to the Telegram Bot API (api.telegram.org) utilizing hardcoded credentials, specific chat IDs, or standard Bot API communication patterns (sendMessage/sendDocument) which are often used by malware for data exfiltration and command-and-control communication.
Detects Microsoft 365 Exchange MailItemsAccessed operations performed by a specific ClientAppId and AppId known to be associated with an exfiltration toolkit. This activity indicates unauthorized access to mail items, consistent with data harvesting efforts.
This rule correlates the receipt of a potential extortion-themed email (containing keywords related to ransom, bitcoin, or data leaks and mentioning cloud platforms like SharePoint, OneDrive, or Box) with a subsequent bulk access event of mail items by the same recipient using a specific client application identifier. This pattern is indicative of an attacker attempting to extort a user or organization following the unauthorized exfiltration or access of sensitive email data stored in cloud services.
Detects high-frequency access to mail items via specific client applications, or high-frequency file downloads/access within SharePoint and OneDrive. These patterns may indicate suspicious data collection or exfiltration attempts by a compromised account.
Detection of suspicious network traffic directed toward Slack APIs, characterized by the use of hardcoded Slack bot tokens and specific communication patterns associated with the 'indexed-btree' npm malware family, indicating potential C2 communication or data exfiltration.
This rule detects internal users submitting potentially sensitive data to public generative AI applications (e.g., ChatGPT, Claude, Gemini) where Microsoft Purview DLP or a comparable inspection service has triggered a policy match. It correlates cloud application outbound signals with content inspection logs to identify high-risk exfiltration events while excluding sanctioned enterprise-licensed AI instances.
Detects outbound HTTP requests to the Telegram Bot API associated with the malicious 'indexed-btree' npm package. The rule specifically monitors for hardcoded Telegram bot tokens and chat IDs used for data exfiltration.
Detects outbound network traffic attempting to exfiltrate data to Slack or Telegram APIs using hardcoded bot tokens or channel identifiers associated with the 'indexed-btree' malware campaign.
Detects instances where AI-based coding or agent-driven tools (e.g., Cursor, Claude Code, AutoGPT) perform suspicious file archiving/packaging activities followed by network egress to unauthorized or known exfiltration-prone services. This helps identify potential data exfiltration by AI agents or compromised development environments.
Detects instances where AI-based coding or agent-driven tools (e.g., Cursor, Claude Code, AutoGPT) perform suspicious file archiving/packaging activities followed by network egress to unauthorized or known exfiltration-prone services. This helps identify potential data exfiltration by AI agents or compromised development environments.
Detects repeated large HTTP PUT or POST requests (exceeding 5MB) from a internal host to external destinations. This pattern is indicative of potential bulk data exfiltration over web services.
Detects specific FTP commands (STOR, RETR, TYPE I) and passive mode responses directed to or originating from identified malicious IP addresses associated with the LucidRook threat actor. This rule monitors for potential file exfiltration, payload retrieval, and command-and-control communication over the FTP protocol.
Detects HTTP POST requests targeting the '/api/credentials' path on non-standard port 8133, which is indicative of AMOS (Atomic macOS Stealer) malware exfiltrating stolen credentials to a remote command and control server.
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