Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
5,879 detections
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Detects newly seen devices (no Tailscale process activity in the prior 30 days) executing Tailscale enrollment or login commands followed by outbound network connections to Tailscale control infrastructure within 10 minutes, potentially indicating unauthorized VPN tunneling.
This analytic detects outbound network connections from a Python process running from suspicious or non-standard directories to social media related domains.
It leverages Sysmon Event ID 3 to surface this anomalous behavior.
Legitimate Python applications rarely originate from paths such as "C:\Users\Public\", Windows font or debug folders, or the Recycle Bin, making direct outbound calls to social media infrastructure from these locations a strong indicator of compromise.
For example the Braodo Stealer, a Python-based credential-harvesting malware, abuses authenticated browser sessions to query the Meta Graph API and enumerate the victim's Facebook and Meta advertising infrastructure.
It leverages Sysmon Event ID 3 to surface this anomalous behavior.
Legitimate Python applications rarely originate from paths such as "C:\Users\Public\", Windows font or debug folders, or the Recycle Bin, making direct outbound calls to social media infrastructure from these locations a strong indicator of compromise.
For example the Braodo Stealer, a Python-based credential-harvesting malware, abuses authenticated browser sessions to query the Meta Graph API and enumerate the victim's Facebook and Meta advertising infrastructure.
Detects when Node.js or NPM processes access sensitive credential files such as .npmrc, SSH private keys, or AWS credentials, followed by an outbound public network connection from the same device within a 15-minute window.
Detects Tailscale (tailscaled) reaching out to cloud instance metadata endpoints or Kubernetes internal service APIs, which may indicate unauthorized access or abuse of app connectors.
Detects outbound network connections to known ClickFix campaign domains or the execution of the finger utility connecting to public IP addresses.
Detects endpoint network connections made to known staging IP addresses often associated with data exfiltration or staging activities.
Detects host-side telemetry indicating Cairn agent worker artifacts, including specific process command line terms, tsec skill files and environment variables, combined with network connections to OpenRouter from the same host.
The following analytic detects network traffic associated with known remote access software applications, such as AnyDesk, GoToMyPC, LogMeIn, and TeamViewer.
It leverages Palo Alto traffic logs mapped to the Network_Traffic data model in Splunk. This activity is significant because adversaries often use remote access tools to maintain unauthorized access to compromised environments.
If confirmed malicious, this activity could allow attackers to control systems remotely, exfiltrate data, or deploy additional malware, posing a severe threat to the organization's security.
It leverages Palo Alto traffic logs mapped to the Network_Traffic data model in Splunk. This activity is significant because adversaries often use remote access tools to maintain unauthorized access to compromised environments.
If confirmed malicious, this activity could allow attackers to control systems remotely, exfiltrate data, or deploy additional malware, posing a severe threat to the organization's security.
This rule performs a sweep across device file and network events for indicators of compromise (IOCs) associated with the UAT-11587/Antino campaign. It detects malicious file hashes, specific C2 domain connections, and known lure URLs (HTA/WSF) identified by Cisco Talos.
Detects a specific sequence of behavior associated with Gryxa data collection and exfiltration. A single process queries system state or logs (scheduled tasks, WMI, event logs), creates an archive file (.zip, .7z, .rar), and establishes an outbound public network connection shortly thereafter.
Detects potential data staging and exfiltration where sensitive or investigation-related files are compressed using archive utilities or PowerShell, followed closely by upload activities to Backblaze B2 cloud storage via CLI tools, rclone, or direct API connections.
Detects outbound network connections to domains associated with the AdFection / Discover-Tech / Controlium threat infrastructure using a Sentinel watchlist, filtering out known browser activity or allowing custom domain lists.
Detects msiexec.exe spawning scripting or programming engines (such as PowerShell or Python) that perform LDAP directory searches and establish outbound external network connections within a specific time window.
Detects msiexec.exe spawning scripting or programming engines (such as PowerShell or Python) that perform LDAP directory searches and establish outbound external network connections within a specific time window.
Detects endpoint execution of specific known brute-force scripts and tools (such as ssh_brute.py, brute3.py, auto_login.py, etc.) using Python or shell interpreters, correlated with a high outbound network connection fan-out (50 or more distinct target IPs) from the same process.
Detects a substantial outbound transfer from a Meraki-protected site. Branch
locations have predictable, modest traffic profiles, which makes a sustained upload
unusually visible against that baseline compared with the same transfer leaving a
datacentre.
Onboarding: CISCO-MERAKI is ingested via Syslog (Bloo extractor 300).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=firewall where sourcename='CISCO-MERAKI' and action='SESSION_ESTABLISHED'
| duration 1h
| groupby srcip, dstip, dstport, app, txlen
locations have predictable, modest traffic profiles, which makes a sustained upload
unusually visible against that baseline compared with the same transfer leaving a
datacentre.
Onboarding: CISCO-MERAKI is ingested via Syslog (Bloo extractor 300).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=firewall where sourcename='CISCO-MERAKI' and action='SESSION_ESTABLISHED'
| duration 1h
| groupby srcip, dstip, dstport, app, txlen
Detects network, DNS, email, and URL click events matching known IOC domains associated with AdFection, Candiru, and Discover-Tech threat intelligence reports.
Detects endpoint execution of specific known brute-force scripts and tools (such as ssh_brute.py, brute3.py, auto_login.py, etc.) using Python or shell interpreters, correlated with a high outbound network connection fan-out (50 or more distinct target IPs) from the same process.
Detects PHP script execution interacting with the Microsoft Exchange Web Services (EWS) API, which may indicate web shell usage, email collection, or exfiltration activity.
This rule performs a sweep across device file and network events for indicators of compromise (IOCs) associated with the UAT-11587/Antino campaign. It detects malicious file hashes, specific C2 domain connections, and known lure URLs (HTA/WSF) identified by Cisco Talos.
Detects endpoint, network, and security log activity matching known indicators of compromise (IOCs) associated with PEERSTITCH / CL-STA-0954, including specific file hashes, IP addresses, and URLs.
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