Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potential bulk data exfiltration by monitoring for high volumes of file access events (FileAccessed, FileRead, FileModified) originating from the 'doc_helper.aspx' file-management web shell. It summarizes activity by device and user account, flagging instances where over 100 unique files are touched within a short timeframe, which is indicative of automated collection and exfiltration activities.
Detects anomalous use of the 'X-Grafana-URL' header in conjunction with an 'Authorization: Bearer' token, indicative of an attempt to exfiltrate a service account token to an unauthorized or external domain, exploiting CVE-2026-15583.
Detects the use of the FTP 'STOR' command to transmit a file with the '.pcap' extension to an external network. This behavior is indicative of potential data exfiltration where captured network traffic is being uploaded to an attacker-controlled server.
Detects a sequence of events starting with a device code OAuth sign-in, followed within two hours by the creation or modification of inbox rules and high-frequency enumeration of email items (contacts, folders, messages, threads, people) via Microsoft Graph API. This behavior is indicative of post-compromise activity where an adversary uses OAuth device code grants to maintain access and subsequently automates inbox analysis or data harvesting.
This rule detects suspicious, high-volume file access or download operations in SharePoint and OneDrive. It filters for activities performed by specific user agents commonly associated with automated scripting tools (e.g., python-requests, Microsoft.Graph.Client), which indicates potential automated exfiltration or unauthorized bulk data collection.
This rule detects potential bulk data exfiltration by monitoring for high volumes of file access events (FileAccessed, FileRead, FileModified) originating from the 'doc_helper.aspx' file-management web shell. It summarizes activity by device and user account, flagging instances where over 100 unique files are touched within a short timeframe, which is indicative of automated collection and exfiltration activities.
Detects network activity communicating with Google Drive domains (drive.google.com and www.googleapis.com). This rule monitors outbound traffic, which may indicate the use of Google Drive as a command-and-control (C2) channel or for unauthorized data exfiltration.
This rule detects process command line arguments that include the string 'data.external.telemetry', which may indicate the use of specialized tools, telemetry collection agents, or unauthorized data exfiltration channels.
Detects network activity initiated by the QUICAgent backdoor (Windowsupdate.exe), which is utilized for file exfiltration and payload delivery. The detection is triggered by identifying the specific file name 'Windowsupdate.exe' in conjunction with the known malicious SHA-256 hash associated with this backdoor.
Detects command-and-control network traffic associated with the DEV#POPPER (Void Dokkaebi/Contagious Interview) RAT. The rule monitors for characteristic WebSocket heartbeat and notification calls to '/verify-human/' endpoints, data exfiltration requests to '/u/f', and outbound connections to known malicious C2 IP addresses.
The following analytic detects excessive usage of the nslookup application, which may indicate potential DNS exfiltration attempts. It leverages Sysmon EventCode 1 to monitor process executions, specifically focusing on nslookup.exe. The detection identifies outliers by comparing the frequency of nslookup executions against a calculated threshold. This activity is significant as it can reveal attempts by malware or APT groups to exfiltrate data via DNS queries. If confirmed malicious, this behavior could allow attackers to stealthily transfer sensitive information out of the network, bypassing traditional data exfiltration defenses.
Microsoft Graph API Calendar C2 Activity
Cortex XDR
Detects anomalous Microsoft Graph API activity targeting calendar events and attachments, indicative of the HOLLOWGRAPH C2 protocol. The rule identifies application identity accounts using non-browser user agents to perform suspicious operations (e.g., creating events with future-dated timestamps, specific subject tag formats like 'Boss{..}ID{..}' or 'Event ID:', and file attachments named 'File{n}.txt'). This pattern suggests the use of a compromised M365 mailbox as a two-way dead-drop for C2 and data exfiltration.
This rule detects a multi-stage attack pattern associated with Akira ransomware, including AD enumeration using PowerShell, data staging with WinRAR, S3 exfiltration via s5cmd, AnyDesk service installation, registry manipulation for persistence via Safe Mode, and boot configuration changes to facilitate EDR bypass. It also incorporates detection for specific IOCs like attacker jump host RDP connections and malicious file hashes.
This rule detects potential bulk data exfiltration by monitoring for high volumes of file access events (FileAccessed, FileRead, FileModified) originating from the 'doc_helper.aspx' file-management web shell. It summarizes activity by device and user account, flagging instances where over 100 unique files are touched within a short timeframe, which is indicative of automated collection and exfiltration activities.
Detects FTP STOR commands associated with the transfer of files with a .pcap extension, which may indicate the exfiltration of captured network traffic from a network device or server.
Detects C2Looper v1 malware communication patterns, specifically plaintext HTTP beaconing to /api/beacon or /api/result endpoints with characteristic JSON body fields (id, user, host, pid, cmd, arg, seq), as well as direct network connections to known C2Looper command-and-control infrastructure on TCP port 8888.
Detects the execution of MEGAsync binaries (MEGAsync.exe, MEGAupdater.exe, or MEGAsyncSetup64.exe) from suspicious locations typically used for staging (Temp, Downloads, Public folders), or the creation of MEGAsync configuration and state cache files in the local AppData directory. This pattern is consistent with an adversary setting up a legitimate cloud storage client for data exfiltration.
Detects unauthorized, non-browser processes accessing sensitive Chromium-based browser credential files (e.g., 'Local State', 'Login Data', 'Cookies') followed by suspicious outbound network connections. This pattern is characteristic of credential-stealing malware (infostealers) like Amatera, Lumma, and Remus.
This rule detects a multi-stage attack pattern associated with Akira ransomware, including AD enumeration using PowerShell, data staging with WinRAR, S3 exfiltration via s5cmd, AnyDesk service installation, registry manipulation for persistence via Safe Mode, and boot configuration changes to facilitate EDR bypass. It also incorporates detection for specific IOCs like attacker jump host RDP connections and malicious file hashes.
Detects an AI agent sandbox exfiltrating harvested PII/session context by embedding it as an x-auth-token query parameter in an outbound HTTP request to an external host — the network-observable exfiltration stage of Cryptographic Context Injection.
This rule monitors Microsoft 365 SharePoint and OneDrive audit logs for the 'SharingSet' operation to detect when internal items are shared with external guests. It classifies sharing events based on permission level and site type (Personal vs. SharePoint site) to highlight potentially high-risk external collaboration.
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