Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
24 detections
Filters
Last updated
All Time
Detection languages
8
5
5
3
2
Contributors
5
5
4
3
2
Categories
14
10
10
5
4
Platforms
19
3
3
3
2
Products / Services
5
2
2
2
2
MITRE Techniques
18,115
15,635
12,576
8,388
6,215
Detects suspicious network connections to 'outlook-one.vercel.app' or 'api.telegram.org' when initiated by common web browsers (msedge.exe, chrome.exe, firefox.exe) or Outlook (outlook.exe). This pattern can indicate phishing attempts, credential harvesting, or data exfiltration via Telegram bots.
Detects suspicious network connections to 'outlook-one.vercel.app' or 'api.telegram.org' when initiated by common web browsers (msedge.exe, chrome.exe, firefox.exe) or Outlook (outlook.exe). This pattern can indicate phishing attempts, credential harvesting, or data exfiltration via Telegram bots.
Detects network connections to the Telegram API, specifically to the /sendMessage or /getUpdates endpoints. This activity can be indicative of command and control (C2) communication or data exfiltration using Telegram as a covert channel.
Detects network connections where the user-agent string contains 'NSIS_InetLoad' and 'Mozilla', often indicative of a staged downloader. The rule also checks if the principal process is an executable and attempts to capture the user-agent from the URL or process command line.
Detects network connections where the user-agent string contains 'NSIS_InetLoad' and 'Mozilla', often indicative of a staged downloader. The rule also checks if the principal process is an executable and attempts to capture the user-agent from the URL or process command line.
NSIS InetLoad downloader user agent
Cortex XDR
This rule detects the distinctive 'NSIS_InetLoad Mozilla' user-agent string, which is commonly used by staged downloaders. It specifically targets network events where the process image name ends with '.exe' and either the event subtype or the remote IP contains the 'NSIS_InetLoad Mozilla' string. The rule aims to identify the initial stages of malware delivery and execution, providing causality fields for investigation.
Privnote DNS Resolution
Cortex XDR
Identifies endpoints resolving privnote.com, a self-destructing message service abused by UNC3753 to transmit malicious installation links while bypassing chat and email filtering.
This rule detects network connections where the User-Agent or RequestClientApplication header contains "NSIS_InetLoad". This string is often associated with Nullsoft Scriptable Install System (NSIS) installers, which can be used by legitimate software but also by malware to download additional components or communicate with command and control servers. The rule specifically looks for at least 3 such connections from the same source to the same destination within the aggregated timeframe, while excluding connections to Microsoft domains to reduce false positives.
This rule detects network connections where the User-Agent or RequestClientApplication header contains "NSIS_InetLoad". This string is often associated with Nullsoft Scriptable Install System (NSIS) installers, which can be used by legitimate software but also by malware to download additional components or communicate with command and control servers. The rule specifically looks for at least 3 such connections from the same source to the same destination within the aggregated timeframe, while excluding connections to Microsoft domains to reduce false positives.
This rule detects suspicious network connections to api.telegram.org from processes masquerading as legitimate Windows executables (MicDriver.exe, Winappx.exe, MsCache.exe, RuntimeSSH.exe, smqdservice.exe). It also identifies files with MD5 hashes matching known Indicators of Compromise (IOCs) from an external list. This combination suggests potential malware activity, possibly involving Telegram for command and control or data exfiltration, combined with process masquerading for evasion.
This rule detects a suspicious sequence of events: a file named 'host.exe' being created in the Windows Startup folder, a 'runtime.zip' file being created in the local temporary directory, and subsequent network communication to the Telegram API (api.telegram.org) from the same device. This pattern is indicative of malware establishing persistence, staging data, and exfiltrating it via Telegram, potentially associated with malware like Small Sieve.
This rule detects HTTP network connections to the Telegram bot API (api.telegram.org/bot). This pattern is often associated with infostealers exfiltrating data to attacker-controlled Telegram bots. The rule specifically looks for the 'NETWORK_HTTP' event type and a URL containing '/api.telegram.org/bot' (case-insensitive).
Detects suspicious network connections to 'outlook-one.vercel.app' or 'api.telegram.org' when initiated by common web browsers (msedge.exe, chrome.exe, firefox.exe) or Outlook (outlook.exe). This pattern can indicate phishing attempts, credential harvesting, or data exfiltration via Telegram bots.
This rule detects network connections to the Telegram API endpoint (api.telegram.org) from processes other than common web browsers like Chrome or Edge. This activity could indicate the use of Telegram for command and control, data exfiltration, or other malicious purposes by malware or threat actors.
Detects phishing emails with malicious HTML attachments designed to harvest credentials and exfiltrate them via the Telegram Bot API. The detection looks for specific attachment filenames (e.g., RFQ, INQUIRY) or content patterns indicative of this threat.
Detects a specific command line argument being passed to a binary, which has been observed in use by the Small Sieve malware. The rule specifically looks for command lines ending with '.exe Platypus'.
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 traffic consistent with XWorm malware using the Telegram API for Command and Control (C2) or data exfiltration. This rule specifically looks for HTTP requests to 'api.telegram.org' with URL patterns indicative of sending messages or files via the Telegram Bot API (e.g., /bot<token>/sendMessage, /bot<token>/sendDocument, /bot<token>/sendPhoto).
The following analytic detects emails in Gsuite containing links to known abuse web services such as Pastebin, Telegram, and Discord. It leverages Gsuite Gmail logs to identify emails with these specific domains in their links. This activity is significant because these services are commonly used by attackers to deliver malicious payloads. If confirmed malicious, this could lead to the delivery of malware, phishing attacks, or other harmful activities, potentially compromising sensitive information or systems within the organization.
Detects the use of rundll32.exe to launch an NSIS (Nullsoft Scriptable Install System) module, specifically looking for 'nsis_uns' and 'PrintUIEntry' in the command line. This behavior has been observed in the Rhadamanthys infostealer, where rundll32.exe is used to execute its main stealer capability.
Detects potential Command and Control (C2) communication associated with the Small Sieve malware. This rule specifically looks for HTTP GET requests to 'api.telegram.org' with a specific chat_id and 'text=com/' in the URI, which are indicators of Small Sieve's use of the Telegram Bot API for C2.
Page 1 of 2