Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule helps you find files that may be part of the EmEditor watering hole incident by looking for a small set of very specific clues that were described in public reporting. It searches for lookalike website names and a repeated campaign marker that appeared in the attacker’s network paths. A match does not automatically prove malware, but it is a strong hint that the file should be reviewed, especially if it is a script, configuration, or installer related content. If you get a hit, confirm where the file came from and whether it is expected for that machine. If it is unexpected, save the file for analysis, check for other related downloads, and look for signs of credential theft or surveillance activity. Also search for the same marker across endpoints, because campaigns often reuse the same identifier on multiple victims. The intent is to give defenders an easy, reliable starting point for triage using human readable clues.
Detects browser processes making direct network connections to known Large Language Model (LLM) API endpoints. This activity is unusual when originating from general user web browsing, as it may indicate a malicious website is using an LLM to dynamically generate and fetch malicious code (e.g., JavaScript for a phishing page) at runtime.
In this campaign, the threat actor leveraged specially crafted Microsoft RTF files to exploit CVE-2026-21509 and deliver malicious backdoors in a multi-stage infection chain. Due to significant overlaps in tools, techniques, and procedures (TTPs) between this campaign and those of the Russia-linked advanced persistent threat (APT) group APT28, we attribute this new campaign to APT28 with high confidence. Microsoft released an out-of-band update to address CVE-2026-21509 on January 26, 2026. ThreatLabz observed active in-the-wild exploitation on January 29, 2026.
Detects network connections to the GitHub API attempting to fetch a 'command.txt' file. This behavior is characteristic of the GITSHELLPAD backdoor, which uses private GitHub repositories for command and control (C2) communication as seen in the Gopher Strike campaign.
Detects processes, other than legitimate web browsers or the official Telegram client, making DNS queries for the Telegram Bot API. This behavior is indicative of malware using Telegram for command-and-control (C2) or data exfiltration, as seen in a campaign leveraging Amnesia RAT.
Detects the download of the Amnesia RAT payload from a specific Dropbox URL observed in a multi-stage malware campaign.
Detects a sequence of events associated with the Astaroth banking trojan, where a script downloads a file from a raw GitHub URL, followed by the execution of an AutoIT interpreter. Astaroth is known to use GitHub to host configuration files disguised as images (steganography).
Detects GitHub self-hosted runners executing workflows on local infrastructure that could be abused for persistence and code execution.
Shai-Hulud is an npm supply chain worm targeting CI/CD environments.
It installs runners on compromised systems to maintain access after credential theft, leveraging their access to secrets and internal networks.
Shai-Hulud is an npm supply chain worm targeting CI/CD environments.
It installs runners on compromised systems to maintain access after credential theft, leveraging their access to secrets and internal networks.
This rule detects network traffic to specific JSON storage services (jsonkeeper.com, jsonsilo.com, npoint.io) that have been observed to be abused by the DPRK-linked 'Contagious Interview' threat actors for malware delivery. The detection is based on TLS Server Name Indication (SNI) patterns.
ET INFO Observed Commonly Actor Abused Cloud Hosting Service Domain (caspio .com in TLS SNI)
Detects network connections to blockchain APIs that are indicative of EtherHiding techniques, specifically those used by UNC5342 to retrieve malicious payloads. It identifies connections to domains containing keywords like 'explorer', 'block', 'cypher', 'eth', 'bit', 'coin', or 'crypto', combined with suspicious URL patterns such as 'eth_call' (a read-only function call for smart contracts) or 'apiKey=freekey' (a common free API key used by threat actors).
Detects Airstalk malware, used by the CL-STA-1009 threat cluster. This rule identifies both PowerShell and .NET variants that misuse the AirWatch MDM API for C2 and data exfiltration.
Detects outbound network connections to Azure Front Door (azurefd.net) that are not initiated by common web browsers or known benign applications/services. This rule aims to identify potentially suspicious use of Azure Front Door for command and control (C2) or other malicious activities, as adversaries can leverage this legitimate service for obfuscation, such as domain fronting.
Detects network connections from web browsers to domains associated with the UNC5142 EtherHiding technique, including a specific blockchain node and malicious Cloudflare Pages domains.
This analytic detects the presence of "api.telegram.org" in the command line of a process. This activity is significant because the Telegram API has been used as an exfiltration mechanism or as a Command and Control (C2) channel by adversaries. If confirmed malicious, this could indicate an attacker or malware is exfiltrating data or receiving additional C2 instructions, potentially leading to further compromise and persistence within the network. The rule leverages process execution logs from Endpoint Detection and Response (EDR) agents.
Detects network connections to the Discord API from non-Discord processes, a behavior associated with the ChaosBot malware.
The following analytic detects the execution of a DNS query by a process to the associated Telegram API domain, which could indicate access via a Telegram bot commonly used by malware for command and control (C2) communications. By monitoring DNS queries related to Telegram's infrastructure, the detection identifies potential attempts to establish covert communication channels between a compromised system and external malicious actors. This behavior is often observed in cyberattacks where Telegram bots are used to receive commands or exfiltrate data, making it a key indicator of suspicious or malicious activity within a network.
Detects potential misuse of TryCloudflare tunnels for malware delivery or C2 communication by monitoring command-line arguments of common scripting and download tools. Adversaries leverage legitimate services like TryCloudflare to host malicious payloads and evade detection.
Detects the misuse of TryCloudflare tunnels for malware delivery, often involving the download and execution of malicious scripts or payloads. Threat actors abuse the temporary tunnel feature to host and deliver malware.
KQL Query from file: Data Exfiltration via Microsoft Teams
This rule detects the addition of an AppX package to the processing pipeline where the package's source path contains domains commonly associated with file sharing, code hosting, or temporary storage services. Adversaries often leverage these services to host malicious payloads, including AppX packages, to bypass traditional security controls or to deliver malware. The rule specifically looks for EventID 854 from the 'AppXDeployment-Server' log source and checks if the 'Path' field contains any of the listed suspicious domains.
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