Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
379 detections
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Detects Windows Explorer (explorer.exe) initiating outbound network connections over port 445 (SMB) to non-private, external IP addresses. This behavior aligns with the zero-click authentication coercion vulnerability (CVE-2026-32202) where Explorer automatically reaches out to a remote UNC path to fetch an icon resource, leaking NTLM hashes.
Detects Windows Explorer (explorer.exe) initiating outbound network connections over port 445 (SMB) to non-private, external IP addresses. This behavior aligns with the zero-click authentication coercion vulnerability (CVE-2026-32202) where Explorer automatically reaches out to a remote UNC path to fetch an icon resource, leaking NTLM hashes.
Detects network connections to known malicious infrastructure domains and IP addresses associated with the Checkmarx supply chain compromise. The compromised KICS images and mcpAddon.js payload use these hardcoded endpoints to exfiltrate stolen credentials and tokens.
Detects instances where Windows screen capture tools (Snipping Tool or Screen Sketch) initiate network connections to external IP addresses on ports commonly associated with Server Message Block (SMB) or Common Internet File System (CIFS). This could indicate an attempt to exfiltrate captured screenshots to an external server.
Detects the use of the curl command-line utility to perform an HTTP POST request uploading a .zip archive. This behavior is characteristic of the exfiltration phase used by macOS malware, such as Miolab Stealer, to silently transfer staged sensitive files and system profiles to a remote command-and-control server.
Detects cleartext network connections using FTP (port 21) or Telnet (port 23) to external IP addresses. This rule specifically filters out internal RFC1918 traffic to focus on public-facing cleartext communications, addressing compliance requirements such as PCI-DSS for strong cryptography over public networks.
This rule detects emails that contain keywords related to 'civil id' in English or Arabic and subsequently extract potential Civil ID numbers from the email body. It then validates the extracted numbers based on birth month and day, and categorizes the risk level based on sender's domain and attachment count. This could indicate data exfiltration or sensitive information exposure.
This rule detects network connections from devices to known malicious infrastructure, specifically the domain 'sfrclak.com' or the IP address '142.11.206.73'. These indicators are associated with potential compromise or command and control activity.
Detects installation and post-installation activity associated with OpenClaw and its known variants — an open-source AI agent family classified as a Potentially Unwanted Application (PUA). Monitors for npm global install commands, execution of shell installer scripts, OpenClaw-related binary or package files written to disk, and outbound network activity originating from known OpenClaw agent processes. Covers 33 known variants of the OpenClaw family including Clawdbot, Moltbot, Ironclaw, MalClaw, and others.
This rule detects a multi-stage exfiltration technique observed on macOS systems, specifically targeting the AMOS malware. It correlates process execution events related to archiving (using 'ditto'), splitting files (using 'split'), and network connections involving 'curl' with specific headers or to known malicious infrastructure. The rule looks for a combination of these activities, indicating data staging and subsequent exfiltration in chunks.
Detects ShadowSniff info-stealer based on strings, PDB path, and behavioral indicators.
Detects outbound network connections to the known typosquatted C2 domain (`scan.aquasecurtiy.org`) or associated IP address (`45.148.10.212`) used by the TeamPCP threat actor. This infrastructure was utilized during the Trivy supply chain attack for exfiltrating stolen SSH keys, cloud credentials, and CI/CD secrets.
This rule detects suspicious activity related to a malicious Notepad++ updater, specifically looking for command strings that indicate data exfiltration to 'temp.sh' using 'curl.exe'. It identifies the presence of 'temp.sh/upload', '--user-agent', 'temp.sh/', '/list', and 'curl.exe' within the analyzed content, suggesting an attempt to upload data or list contents to a temporary sharing service.
The query, as constructed, is primarily focused on detecting large outbound traffic volumes to external destinations on a per source-destination pair basis within daily aggregations. Adjust the threshold and aggregation criteria based on your specific security requirements and typical network behavior patterns.
This rule detects large volumes of outbound network traffic originating from Azure Kubernetes Service (AKS) clusters to external destinations over non-standard ports. It specifically looks for traffic allowed by Palo Alto firewalls, excluding common ports like 80 and 443, and flags transfers exceeding a defined data threshold (e.g., 100MB). This behavior can indicate data exfiltration attempts where adversaries use alternative protocols to bypass standard monitoring.
Detects when an Azure Kubernetes Service (AKS) worker node initiates an outbound connection to a public IP address over a non-standard or unexpected port. This could indicate data exfiltration using custom tools or protocols.
Detects network traffic to web services associated with the ggwave project, such as 'ggwave.ggerganov.com'. These services can generate audio payloads from text, which could be used for covert data exfiltration over an acoustic channel, bypassing traditional network monitoring for the data content itself.
Detects large volumes of outbound data transfers using the Cyberduck application to known cloud storage providers. The Qilin ransomware group has been observed using Cyberduck for data exfiltration.
When, for example, a printer, camera, IoT appliance, or other device suddenly makes outbound connections to countries such as China, Russia, or Iran, this may not be noise. The following detection helps identify connections from these specific device groups that we were not previously aware of and that could be exfiltrating information.
A composite detection rule that identifies multiple techniques, tactics, and procedures (TTPs) associated with the RansomHub intrusion detailed in "The DFIR Report". This rule focuses on process creation events and flags the execution of specific credential dumping tools, network scanners, defense evasion commands, ransomware behaviors, and exfiltration tool chains. An alert from this rule indicates a high probability of malicious activity consistent with this threat actor's methodology.
DNS TOR Proxies
Sigma
Identifies IPs performing DNS lookups associated with common Tor proxies.
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