Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects network connections or process command lines associated with known malicious domains, IP addresses, or payload URLs. Additionally, it correlates connections to common public file-sharing platforms or APIs (e.g., Gofile, Telegram) if these events occur on the same device within a 60-minute window of a confirmed malicious infrastructure event, reducing false positives from legitimate uses of shared infrastructure.
This rule monitors for outbound network connections to a list of known malicious IP addresses identified as part of the GhostCode command-and-control (C2) infrastructure. It uses DeviceNetworkEvents data to flag activity originating from endpoints and highlights a specific IP address used during the Intune/MDM enrollment process for further investigation.
This rule monitors for outbound network connections to a list of known malicious IP addresses identified as part of the GhostCode command-and-control (C2) infrastructure. It uses DeviceNetworkEvents data to flag activity originating from endpoints and highlights a specific IP address used during the Intune/MDM enrollment process for further investigation.
Detects outbound network connections to 'acrobat-updater.com' involving suspicious API paths that mimic the Adobe Acrobat updater. This may indicate an attempt by an adversary to masquerade malicious command and control or data exfiltration as legitimate update traffic.
Detects outbound network connections to 'acrobat-updater.com' involving suspicious API paths that mimic the Adobe Acrobat updater. This may indicate an attempt by an adversary to masquerade malicious command and control or data exfiltration as legitimate update traffic.
Detects outbound TCP traffic originating from the internal network destined for a known malicious IP associated with Meterpreter Java payload retrieval and post-exploitation Command and Control (C2) activity, potentially related to PaperCut vulnerability exploitation.
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.
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.
Detects network communication with known Command and Control (C2) IP addresses associated with Phantom Stealer malware. This rule monitors both outbound connections from the internal network and inbound traffic from the identified malicious infrastructure.
Detects network communication with known Command and Control (C2) IP addresses associated with Phantom Stealer malware. This rule monitors both outbound connections from the internal network and inbound traffic from the identified malicious infrastructure.
Detects anomalous execution or network activity involving a 'content.js' file in conjunction with specific proxy-related artifacts or authorization headers. This pattern is indicative of a malicious browser extension or script attempting to intercept or proxy web traffic and credentials.
Detects inbound traffic, sign-ins, and email activity originating from the Anthropic IP range 160.79.104.0/21.
This rule identifies successful network connections from local devices to a predefined list of known malicious IP addresses within the last 7 days. Such connections often indicate active communication between a compromised endpoint and adversary-controlled infrastructure.
Detects high-frequency TLS sessions initiated from internal hosts to Microsoft identity, Graph API, and account management endpoints. This behavior often mimics legitimate interaction but may indicate an adversary rotating infrastructure, automating reconnaissance, or interacting with C2 channels disguised as legitimate SaaS traffic.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects network connections to known JeetBot infrastructure domains and IP addresses. The rule specifically identifies potential exfiltration of Twitch OAuth tokens via URL parameters or interaction with known token-collection proxy endpoints, which are associated with the JeetBot/Twitch Enhanced Viewer credential harvesting campaign.
Detects network connections originating from browser processes to known JeetBot command and control (C2) infrastructure. The rule identifies suspicious C2 communication and, specifically, attempts at token exfiltration by monitoring for auth tokens in the URL of requests directed to known JeetBot hosts and Twitch-related infrastructure.
This rule detects network connections or process command lines associated with known malicious domains, IP addresses, or payload URLs. Additionally, it correlates connections to common public file-sharing platforms or APIs (e.g., Gofile, Telegram) if these events occur on the same device within a 60-minute window of a confirmed malicious infrastructure event, reducing false positives from legitimate uses of shared infrastructure.
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