Ankit Mehta
@SecvynIndiaTrusted contributorCompletionist
7 followers9,573 downloads10,251 copies160 likes55,618 views
8,655 detections
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This rule detects potentially malicious software supply chain attacks by identifying suspicious child processes spawned by package managers (pip, npm) or Python scripting engines within a short timeframe. It specifically looks for shells (cmd, powershell, bash, etc.) being invoked immediately after a package installation or script execution, and correlates this activity with suspicious outbound network connections originating from these processes.
This rule detects suspicious bulk access and transfer behavior targeting sensitive files, which could indicate data exfiltration. It identifies scenarios where a single account accesses a large number of files, totaling a significant size, within a short timeframe. The rule specifically looks for common sensitive file types such as spreadsheets, documents, PDFs, SQL databases, and backup files. This pattern is often associated with ransomware groups performing data leak extortion without encryption.
This rule detects potential ransomware activity by identifying rapid bulk file modifications or renames that result in files adopting extensions commonly associated with ransomware encryption. It looks for a high volume of file events (creation, modification, rename) within a short timeframe (1 hour) where the new file extensions match a predefined list of ransomware-specific extensions.
Detects suspicious command-line arguments associated with the 'squid.exe' process that may indicate exploitation attempts related to the Squidbleed vulnerability, specifically looking for patterns indicative of 4KB buffer freelist recycling. This includes keywords like 'malloc', 'free', '4096', '4KB', 'buffer', and 'MEM_'.
This rule detects potential leakage of HTTP Authorization headers (including 'Authorization', 'Basic', 'Bearer', 'Digest', and 'X-API-Key') over FTP (port 21) within network traffic. This could indicate a misconfiguration or an attempt to exfiltrate credentials or sensitive API keys in an unencrypted manner.
Detects network connections originating from a Squid proxy process (squid.exe or processes containing 'squid' in their name) attempting to connect to an FTP server (port 21). This could indicate a reachability test or other activity related to the Squidbleed vulnerability, or general proxy misuse.
This rule detects anomalous network communication patterns that might indicate Command and Control (C2) activity. It identifies devices making at least 5 connections within a 10-minute window to common web/HTTPS ports (443, 8443, 8080) where the initiating process is not a standard web browser (chrome.exe, firefox.exe, iexplore.exe, msedge.exe). This pattern can suggest non-browser applications establishing frequent connections to C2 servers.
Detects instances where the Squid proxy application is used to establish network connections over ports 21 (FTP) or 22 (SSH) to specific external IP ranges. This behavior may indicate an attacker using the internal proxy server to anonymize command-and-control (C2) traffic or perform unauthorized external reconnaissance.
Detects command-line activity containing keywords associated with process injection or hollowing techniques (e.g., shellcode, inject, hollow, replace) when executed by common script interpreters targeting critical system processes.
Detects processes containing sensitive credential-related keywords (cookies, creds, password, token) in their command lines followed by a network connection to known suspicious remote IP addresses within a 60-minute window, suggesting potential credential exfiltration.
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