Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects potential insider threats or departing employees by correlating abnormal bulk data downloads from cloud repositories (SharePoint/OneDrive/Box/etc.) with subsequent sensitive data access and exfiltration signals. It uses baseline behavioral profiling, requires a threshold of sensitive file interactions, and mandates high-confidence exfiltration indicators (removable media usage, suspicious external domains, or multiple combined destination events) to reduce noise. Archive/staging activity is used as an optional confidence booster.
Detects potential insider threats or departing employees by correlating abnormal bulk data downloads from cloud repositories (SharePoint/OneDrive/Box/etc.) with subsequent sensitive data access and exfiltration signals. It uses baseline behavioral profiling, requires a threshold of sensitive file interactions, and mandates high-confidence exfiltration indicators (removable media usage, suspicious external domains, or multiple combined destination events) to reduce noise. Archive/staging activity is used as an optional confidence booster.
Detects potential insider threats or departing employees by correlating abnormal bulk data downloads from cloud repositories (SharePoint/OneDrive/Box/etc.) with subsequent sensitive data access and exfiltration signals. It uses baseline behavioral profiling, requires a threshold of sensitive file interactions, and mandates high-confidence exfiltration indicators (removable media usage, suspicious external domains, or multiple combined destination events) to reduce noise. Archive/staging activity is used as an optional confidence booster.
Detects potential insider threats or departing employees by correlating abnormal bulk data downloads from cloud repositories (SharePoint/OneDrive/Box/etc.) with subsequent sensitive data access and exfiltration signals. It uses baseline behavioral profiling, requires a threshold of sensitive file interactions, and mandates high-confidence exfiltration indicators (removable media usage, suspicious external domains, or multiple combined destination events) to reduce noise. Archive/staging activity is used as an optional confidence booster.
Detects the 'Credential Guard.exe' process (associated with AgtaBackup RAT) accessing sensitive browser files (Login Data, Cookies, History, Bookmarks) and subsequently exfiltrating data to a specific C2 endpoint.
Detects anomalous credential access behavior by identifying instances where a compromised explorer.exe process (injected with the Kothamine payload DLL MicrosoftEdgeUpdateCore.dll) accesses browser cookie stores and gaming credential files in quick succession.
Detects anomalous credential access behavior by identifying instances where a compromised explorer.exe process (injected with the Kothamine payload DLL MicrosoftEdgeUpdateCore.dll) accesses browser cookie stores and gaming credential files in quick succession.
Detects anomalous credential access behavior by identifying instances where a compromised explorer.exe process (injected with the Kothamine payload DLL MicrosoftEdgeUpdateCore.dll) accesses browser cookie stores and gaming credential files in quick succession.
Detects the Sckit supply chain implant reading sensitive credential files from a user's home directory. The rule monitors processes spawned by Node.js or Python interpreters (the primary loaders for the Sckit worm) attempting to access high-value files like SSH keys, .npmrc, .pypirc, and various token storage files, indicating potential credential harvesting behavior.
Detects potential browser-based infostealer activity where a non-standard process, launched from temporary or user-download directories, accesses sensitive browser data files (cookies, login data) followed by a suspicious outbound network connection to a previously unseen domain, matching common patterns for LummaStealer or Vidar malware.
Detects the presence of the 'SOUL.md' configuration file associated with the Hermes Agent AI framework. This file contains a specific 'GH0ST' persona prompt designed to bypass ethical restrictions (jailbreak) and configure the agent for automated post-exploitation tasks, such as loot collection and Telegram-based command and control.
Detects unauthorized, unsigned processes accessing sensitive browser files (Cookies, Login Data, Local State) across common browsers (Chrome, Edge, Brave, Firefox) followed by an outbound network connection. This behavior is indicative of credential-harvesting infostealer malware.
Detects a multi-stage, automated attack chain performed by AI-based development agents (e.g., Claude, Copilot, Cursor). The rule correlates process discovery, credential access, file collection (staging), and exfiltration over web services within a tight 15-minute window, identifying potential autonomous exploitation and data exfiltration. Covered T1046, T1552.001, T1078, T1005, T1567
The FileFix→StealC payload chain (Facebook-security-alert lure, Acronis/HivePro 2026 reporting) harvests browser-stored credentials, cookies, and session data as its primary objective.
The FileFix→StealC payload chain (Facebook-security-alert lure, Acronis/HivePro 2026 reporting) harvests browser-stored credentials, cookies, and session data as its primary objective.
Detects the ChainScript RAT agent (executing as node.exe from specific masquerading directory paths) scanning for and enumerating cryptocurrency wallet files, browser-stored wallet extensions, and related sensitive configuration data.
Detects instances where a Claude process accesses a 'SKILL.md' file, followed closely by a suspicious command execution on the same device. The rule specifically targets command-line activity that involves encoding, download-and-execute patterns, staging in sensitive directories, or communication with suspicious domains/IPs, which is indicative of a supply-chain or poisoned agent-skill file attack.
Detects unauthorized processes attempting to read or copy sensitive browser data files (e.g., Cookies, Login Data, Local Storage) often targeted by info-stealing malware such as Vidar, LummaC2, or RedLine. The rule filters out legitimate browser-related processes and adds security context by requiring evidence of unsigned code, execution from suspicious locations (Temp/Downloads), or associated outbound network activity to reduce false positives.
Detects unauthorized processes attempting to read or copy sensitive browser data files (e.g., Cookies, Login Data, Local Storage) often targeted by info-stealing malware such as Vidar, LummaC2, or RedLine. The rule filters out legitimate browser-related processes and adds security context by requiring evidence of unsigned code, execution from suspicious locations (Temp/Downloads), or associated outbound network activity to reduce false positives.
Detects the behavior of LunexStealer targeting cryptocurrency wallets. The rule monitors for the enumeration of known crypto wallet files and browser-stored extension data, followed closely by the creation of a 'wallet.zip' archive by the same process, which is indicative of staged data collection for exfiltration.
Detects the behavior of LunexStealer targeting cryptocurrency wallets. The rule monitors for the enumeration of known crypto wallet files and browser-stored extension data, followed closely by the creation of a 'wallet.zip' archive by the same process, which is indicative of staged data collection for exfiltration.
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