Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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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 the presence of vulnerable Wireshark software versions susceptible to CVE-2025-13945 and detects mitmproxy instances running without HTTP/3 disabled via the --set http3=false command line argument.
Detects suspicious DNS queries to external service interaction domains often used for out-of-band interactions after successful RCE
Detects the execution of reverse engineering and decompilation tools such as JADX or Blutter against Android APK files or Flutter application binaries (libapp.so), as well as the creation of their typical output artifacts and staging folders.
Detects the execution of reverse engineering and decompilation tools such as JADX or Blutter against Android APK files or Flutter application binaries (libapp.so), as well as the creation of their typical output artifacts and staging folders.
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 policy changes in Trellix ePolicy Orchestrator. ePO governs endpoint
protection across the estate, so weakening a policy there disables defences on many
machines at once — far more efficient for an attacker than tampering with hosts
individually, and visible only in ePO's own audit trail.
Onboarding: TRELLIX-EPO is ingested via RDBMS Log Shipper (Bloo extractor 857).
Integration guide: https://bloo.io/docs/integrations
BQL (Bloo Query Language):
stream=iam where sourcename='TRELLIX-EPO' and action='POLICY_UPDATED'
| groupby user, targetuser, role
protection across the estate, so weakening a policy there disables defences on many
machines at once — far more efficient for an attacker than tampering with hosts
individually, and visible only in ePO's own audit trail.
Onboarding: TRELLIX-EPO is ingested via RDBMS Log Shipper (Bloo extractor 857).
Integration guide: https://bloo.io/docs/integrations
BQL (Bloo Query Language):
stream=iam where sourcename='TRELLIX-EPO' and action='POLICY_UPDATED'
| groupby user, targetuser, role
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 the execution of reverse engineering and decompilation tools such as JADX or Blutter against Android APK files or Flutter application binaries (libapp.so), as well as the creation of their typical output artifacts and staging folders.
Detects the execution of reverse engineering and decompilation tools such as JADX or Blutter against Android APK files or Flutter application binaries (libapp.so), as well as the creation of their typical output artifacts and staging folders.
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 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 the creation of cook.pth or cook.py in Python site-packages or dist-packages directories by package managers or interpreters, followed by a Python interpreter execution on the same device within one hour. This pattern matches the malicious supply chain behavior observed in compromised LiteLLM versions (e.g., 1.107.0) utilizing .pth auto-import chains for persistence and execution.
Detects network connections, process command-line executions, and email URL info matching known APT28 (Swallowtail, HOOKEDGE, LegionRelay) indicators of compromise, including specific IP addresses and GUIDs.
Detects enumeration of local or remote network services.
Sweeps Defender XDR telemetry for known NEBULA / KNTRAT indicators (SHA256 hashes, C2 IP, decoy domain and URLs, burner publisher emails). Hash matching is scoped per table (execution hash only in process events), noisy tooling is excluded from command-line matches, network hits are limited to connection events, and results are aggregated per device and IOC.
The following analytic detects the execution of the macOS osascript utility with AppleScript commands that display a dialog or alert containing potentially deceptive, credential-related, or security-themed content.
Adversaries may abuse osascript to present fake system messages or credential prompts and trick users into disclosing sensitive information.
This detection is based on command-line content and should be reviewed with the parent process, executing user, script content, and surrounding endpoint activity.
Adversaries may abuse osascript to present fake system messages or credential prompts and trick users into disclosing sensitive information.
This detection is based on command-line content and should be reviewed with the parent process, executing user, script content, and surrounding endpoint activity.
Detects repeated Ollama application error events as a possible availability issue. Ollama application logs do not reliably record process termination, so this search cannot confirm a service crash without operating system or service manager telemetry.
Detects an npm or pip package installation process spawning a script
interpreter or living-off-the-land binary (powershell, cmd, certutil, bitsadmin, curl,
wget, bash, sh) as a child process. CrowdStrike's 2026 Threat Hunting Report found
adversaries increasingly embed malicious setup/install scripts inside open-source packages
uploaded to npm and PyPI; these scripts execute automatically the moment the package is
written to disk during npm install / pip install, unless intercepted before execution. A
package manager process spawning a scripting engine or download utility immediately after
install is a strong indicator of an embedded malicious postinstall/setup script rather than
a normal build step.
interpreter or living-off-the-land binary (powershell, cmd, certutil, bitsadmin, curl,
wget, bash, sh) as a child process. CrowdStrike's 2026 Threat Hunting Report found
adversaries increasingly embed malicious setup/install scripts inside open-source packages
uploaded to npm and PyPI; these scripts execute automatically the moment the package is
written to disk during npm install / pip install, unless intercepted before execution. A
package manager process spawning a scripting engine or download utility immediately after
install is a strong indicator of an embedded malicious postinstall/setup script rather than
a normal build step.
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 the execution of reverse engineering and decompilation tools such as JADX or Blutter against Android APK files or Flutter application binaries (libapp.so), as well as the creation of their typical output artifacts and staging folders.
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