Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Bigbear V2 Ioc Hunt
Sigma
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.
This rule monitors for network connections to known command-and-control (C2) IP addresses and the execution or presence of files matching known hashes associated with the 'PhantomC2' threat group or malware family. It correlates data from DeviceNetworkEvents, DeviceFileEvents, and DeviceProcessEvents to identify potential compromise.
This rule monitors for network connections to known command-and-control (C2) IP addresses and the execution or presence of files matching known hashes associated with the 'PhantomC2' threat group or malware family. It correlates data from DeviceNetworkEvents, DeviceFileEvents, and DeviceProcessEvents to identify potential compromise.
Matches known VectraRAT sample SHA-256 hashes and the ClickFix distribution domain (verify-cloud.digital) recovered from pivoting across exposed VectraRAT distribution infrastructure
Detects HTTP GET requests to '/api.php?t=' containing a 13-digit timestamp identifier, followed by a response body containing 'download_link'. This pattern is indicative of the SilverFox malware relaying instructions or stage-two payload delivery.
Detects HTTP GET requests to '/api.php?t=' containing a 13-digit timestamp identifier, followed by a response body containing 'download_link'. This pattern is indicative of the SilverFox malware relaying instructions or stage-two payload delivery.
Detects malicious network connections, file downloads, or process execution associated with the REVSTEALER malware campaign, which utilizes hijacked YouTube channels to distribute fake game-cheat videos that lure users into downloading 'resightloader.exe' from specific malicious domains.
Detects emails delivering links to IronToll government-impersonation traffic-fine/payment portals (Egyptian and Moroccan justice-ministry lures), correlated with Safe Links click-through telemetry for the same URLs.
This rule monitors network traffic from internal devices and security logs for communication with a curated list of known malicious or suspicious scanner IP addresses, indicating potential reconnaissance or probing activity by external actors.
This rule monitors for interactions with a list of known malicious phishing domains across email ingestion, user click events, and device network activity. It identifies potential exposure to phishing campaigns by tracking domain matches in incoming email URLs, user-clicked links, and outbound device network connections.
This rule monitors for interactions with a list of known malicious phishing domains across email ingestion, user click events, and device network activity. It identifies potential exposure to phishing campaigns by tracking domain matches in incoming email URLs, user-clicked links, and outbound device network connections.
This rule monitors network traffic from internal devices and security logs for communication with a curated list of known malicious or suspicious scanner IP addresses, indicating potential reconnaissance or probing activity by external actors.
This rule monitors for interactions with a list of known malicious phishing domains across email ingestion, user click events, and device network activity. It identifies potential exposure to phishing campaigns by tracking domain matches in incoming email URLs, user-clicked links, and outbound device network connections.
Detects sensitive data exfiltration attempts (PII, credit card, OTP) via HTTP POST requests to suspicious lookalike domains, followed by a WebSocket connection to known IronToll C2 infrastructure.
Detects sensitive data exfiltration attempts (PII, credit card, OTP) via HTTP POST requests to suspicious lookalike domains, followed by a WebSocket connection to known IronToll C2 infrastructure.
This rule monitors DeviceNetworkEvents for outbound connections to a list of known malicious or suspicious IP addresses. This activity is indicative of potential command and control (C2) communication or unauthorized data exfiltration.
This rule monitors DeviceNetworkEvents for outbound connections to a list of known malicious or suspicious IP addresses. This activity is indicative of potential command and control (C2) communication or unauthorized data exfiltration.
Detects instances where an Artifactory process or user accesses highly sensitive configuration files (system.yaml, join.key) or API endpoints containing configuration data, followed closely (within 15 minutes) by an outbound network connection to a non-standard or external destination. This pattern is indicative of a potential credential theft attempt targeting the Artifactory join key, which is used to authenticate Artifactory nodes in a cluster, followed by potential data exfiltration or C2 communication using these credentials.
Detects instances where an Artifactory process or user accesses highly sensitive configuration files (system.yaml, join.key) or API endpoints containing configuration data, followed closely (within 15 minutes) by an outbound network connection to a non-standard or external destination. This pattern is indicative of a potential credential theft attempt targeting the Artifactory join key, which is used to authenticate Artifactory nodes in a cluster, followed by potential data exfiltration or C2 communication using these credentials.
Detects instances where an Artifactory process or user accesses highly sensitive configuration files (system.yaml, join.key) or API endpoints containing configuration data, followed closely (within 15 minutes) by an outbound network connection to a non-standard or external destination. This pattern is indicative of a potential credential theft attempt targeting the Artifactory join key, which is used to authenticate Artifactory nodes in a cluster, followed by potential data exfiltration or C2 communication using these credentials.
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