Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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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.
Detects known Indicators of Compromise (IOCs) associated with the Ebury Linux backdoor, including specific file hashes, implants like libkeyutils.so.1.10.2, malicious IP connections, and associated network/email artifacts using Microsoft Defender XDR advanced hunting.
Detects known Indicators of Compromise (IOCs) associated with the Ebury Linux backdoor, including specific file hashes, implants like libkeyutils.so.1.10.2, malicious IP connections, and associated network/email artifacts using Microsoft Defender XDR advanced hunting.
Detects potential data exfiltration activity where a device first exhibits usage of a remote monitoring and management (RMM) tool, followed by the execution of known data transfer or exfiltration utilities such as WinSCP or Rclone.
Detects known Indicators of Compromise (IOCs) associated with the Ebury Linux backdoor, including specific file hashes, implants like libkeyutils.so.1.10.2, malicious IP connections, and associated network/email artifacts using Microsoft Defender XDR advanced hunting.
Detects inbound external connections on TCP port 541 (FGFM/FMG-Access protocol) correlated with the creation of .tm archives on the same device, or connections from known malicious IP addresses communicating over TCP 541.
Detects VPN connection events where the client hostname contains the string 'kali', which may indicate the use of a penetration testing operating system or a suspicious device connecting to the corporate network via Palo Alto Networks GlobalProtect.
Detects network, file, process, and email interactions associated with known IOCs related to Power BI phishing and rogue ScreenConnect campaigns over a 30-day lookback period.
IOC sweep (SHA256, domains, URLs, IPs, sender emails) for the RedFlick-style VHDX/LNK/WebDAV campaign against Moldovan and Ukrainian civil society, with false-positive controls.
Sweeps network, process command-line and URL-click telemetry for the Kimsuky payload C2 domain and its subdomains using an anchored match, which avoids lookalike or suffix-matching domains.
Detects connections held open far longer than normal. Interactive command and
control, tunnelling and remote access tooling all maintain long sessions, whereas
ordinary application traffic is short-lived and bursty.
Duration is available directly in the connection record, which makes this far
cheaper to evaluate than reconstructing sessions from flow data.
Onboarding: NTA is ingested via Network Traffic Analysis (Bloo extractor 717).
Integration guide: https://bloo.io/docs/integrations
BQL (Bloo Query Language):
stream=nta-connection where sourcename='NTA'
and action='CONNECTION_ESTABLISHED'
| duration 24h
| groupby srcip, dstip, dstport, app, duration
control, tunnelling and remote access tooling all maintain long sessions, whereas
ordinary application traffic is short-lived and bursty.
Duration is available directly in the connection record, which makes this far
cheaper to evaluate than reconstructing sessions from flow data.
Onboarding: NTA is ingested via Network Traffic Analysis (Bloo extractor 717).
Integration guide: https://bloo.io/docs/integrations
BQL (Bloo Query Language):
stream=nta-connection where sourcename='NTA'
and action='CONNECTION_ESTABLISHED'
| duration 24h
| groupby srcip, dstip, dstport, app, duration
Detects hosts with the trojanized version 3.0.123 of the Rank Math PRO WordPress plugin distributed in October 2026. It correlates software inventory, file events, command-line process events, and network connections to identify affected packages, installation activity, and C2 communications.
Detects the execution of potential tunneling tools from temporary directories (/tmp, /dev/shm, /var/tmp) using characteristic CLI arguments such as --listen, --token, --obfs, and --ws-path, or the known binary name 'ingredi_ws'.
Detects an inbound QUIC/UDP port 443 burst targeting a Bun process (bun.exe or bun) from external IP addresses, followed by the process going completely silent on the network within a short time window. This pattern correlates with potential exploitation or denial-of-service conditions involving network parsing anomalies.
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.
Detects the execution of potential tunneling tools from temporary directories (/tmp, /dev/shm, /var/tmp) using characteristic CLI arguments such as --listen, --token, --obfs, and --ws-path, or the known binary name 'ingredi_ws'.
Detects clusters of unreachable-service and no-connector-available events. Where
these concentrate on one application they suggest the connector serving it has been
disrupted — which, during an intrusion, denies access to the application while the
outage is treated as an infrastructure problem rather than a security one.
Onboarding: ZSCALER-SPA is ingested via the Zscaler connector (Bloo extractor 176).
Integration guide: https://bloo.io/docs/integrations
BQL (Bloo Query Language):
stream=zpa-connector where sourcename='ZSCALER-SPA'
and action in ('SERVICE_NOT_REACHABLE', 'NO_CONNECTOR_AVAILABLE')
| duration 15m
| groupby app, reason
| select app, reason, count(*) as cnt
| having cnt > 15
these concentrate on one application they suggest the connector serving it has been
disrupted — which, during an intrusion, denies access to the application while the
outage is treated as an infrastructure problem rather than a security one.
Onboarding: ZSCALER-SPA is ingested via the Zscaler connector (Bloo extractor 176).
Integration guide: https://bloo.io/docs/integrations
BQL (Bloo Query Language):
stream=zpa-connector where sourcename='ZSCALER-SPA'
and action in ('SERVICE_NOT_REACHABLE', 'NO_CONNECTOR_AVAILABLE')
| duration 15m
| groupby app, reason
| select app, reason, count(*) as cnt
| having cnt > 15
Detects network connections, process executions, file creations, and image loads associated with the UNC7017 AOMEI supply chain campaign IOC sweep, including specific malicious URLs, domains, IPs, file paths, and hashes.
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.
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.
Detects inbound external connections on TCP port 541 (FGFM/FMG-Access protocol) correlated with the creation of .tm archives on the same device, or connections from known malicious IP addresses communicating over TCP 541.
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