Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects the HTTP download of common boot script file types (batch, command, shell, PowerShell) that contain the string 'HKLM' (HKEY_LOCAL_MACHINE). This combination suggests an attempt to establish persistence or execute malicious code by modifying system-wide registry settings, often associated with trojan activity. The detection is based on the file extension in the URI and the content within the downloaded file's data.
This rule detects network traffic on port 445 (SMB) containing the strings "services.exe" and "ImagePath" (case-insensitive). This combination suggests an attempt to hijack the execution flow of a service by replacing its binary, specifically targeting the 'services.exe' process, which is a critical Windows component. The rule is designed to identify trojan activity related to persistence mechanisms.
Detects the presence of JavaScript obfuscation indicators such as 'atob(', 'Blob(', or 'URL.createObjectURL' in process command lines. These functions can be used by malicious scripts to decode or create objects from obfuscated data, often as part of a defense evasion strategy.
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 modifications to registry keys under 'Software\Microsoft\Windows\CurrentVersion\Policies' where the registry value data contains '.exe' or '.dll'. Such changes, especially multiple occurrences within a short timeframe (3 or more changes within an hour), can indicate ransomware activity attempting to alter file associations or execution policies to maintain persistence or execute malicious payloads.
This rule detects attempts by a device to resolve specific domain names known to be associated with ransomware killswitches. Successful resolution of these domains could indicate a ransomware infection attempting to halt its encryption process.
This rule detects suspicious file activity indicative of ransomware by monitoring for a high volume of file creations or renames where the filenames contain common ransomware-related extensions such as '.encrypted', '.locked', or '.ransom'. It aggregates these events over a one-hour period per device and triggers if 20 or more such events occur.
This rule detects suspicious outbound DNS queries originating from a device that are not directed to common public DNS servers (Google DNS, Cloudflare DNS). The rule specifically flags queries where the remote DNS name contains keywords like 'malware', 'c2', or 'c&c', and where at least 5 such queries occur within an hour from the same device. This pattern can indicate potential malware communication or command and control (C2) activity.
This rule detects installers masquerading as legitimate security or analysis utilities (e.g., Ghidra, dnSpy, Wireshark) that subsequently launch common loader programs (e.g., PowerShell, rundll32, cmd.exe). Such activity often indicates an attempt to bypass user suspicion and deliver malware. It is crucial to verify publisher signatures and the origin of downloaded software. Further investigation should involve questioning the user about recent software installations or clicked links, and engaging the security team if the situation remains unclear.
This rule detects potential ransomware activity by monitoring for a high volume of file creation or renaming events where the new file names end with common ransomware extensions such as '.encrypted', '.locked', or '.crypted'. It aggregates these events over 5-minute intervals and triggers if 50 or more such files are observed on a single device.
This rule detects the creation of a new Windows service (EventID 7045) where the service executable path contains both 'System32' and 'svchost', and the service description is either empty or contains 'Network'. This combination of characteristics can indicate the installation of a malicious service, potentially a backdoor or trojan, attempting to masquerade as a legitimate system service.
This rule detects the download of ISO, IMG, VHD, or VHDX files over HTTP that are larger than 500KB. These file types are often used as containers for malware delivery, allowing attackers to bypass traditional file-based security controls by embedding malicious executables or scripts within disk images.
This rule detects attempts to download executable files disguised as common media file types (MP4, MP3, AVI, MOV) over HTTP. It specifically looks for the 'MZ' header, which indicates a Windows executable, within the first two bytes of the file data, combined with a URI ending in a media file extension. This technique is often used by attackers to bypass security controls and trick users into executing malicious payloads.
This rule detects web pages that are likely part of a bank vishing callback scam. It looks for HTTP responses (flow:to_client) containing the keywords 'call', 'toll-free', and 'account' (case-insensitive) in the file data. This combination of keywords suggests a page designed to trick users into calling a fraudulent number to discuss their 'account'.
Detects download of malware builder or generator tools from code repositories
This rule detects network traffic patterns indicative of the XMRig cryptominer communicating with a mining pool. Specifically, it looks for HTTP POST requests to the URI '/api/v1/jobs' with 'job_id' present in the client body, which is a common behavior for XMRig when requesting mining jobs.
This rule detects attempts to replace cryptocurrency wallet addresses within HTTP POST requests. It specifically looks for patterns matching Bitcoin (P2PKH, P2SH, Bech32) and Ethereum (0x) wallet addresses in the client body of HTTP POST requests. This activity is indicative of clipboard hijacking or similar malware that aims to redirect cryptocurrency transactions to an attacker's wallet.
This rule detects network traffic that uses a TLS certificate with the common name (CN) 'Major Cobalt Strike'. This specific CN is a known default value used by the Cobalt Strike command and control (C2) framework. Detection of this certificate indicates potential Cobalt Strike C2 communication within the network.
This rule detects DNS queries for TXT records that contain specific patterns indicative of DNS calculation C2 (Command and Control) activity. The pattern searched for is a PCRE regex matching two alphanumeric strings, each 4 to 8 characters long, separated by a dot (e.g., 'abcd.efgh.'). This type of activity is often associated with malware using DNS TXT records to encode C2 instructions or data, potentially involving IP math for dynamic C2 server resolution. The rule includes a threshold to prevent excessive alerts, triggering if 5 such queries are observed from the same source within 60 seconds.
This rule detects potential callback activity from a remote hardware implant. It specifically looks for HTTP requests where the URI contains common callback patterns like '/callback', '/checkin', '/ping', or '/heartbeat', and the User-Agent header indicates a scripting tool such as 'python', 'curl', or 'wget'. The rule also specifies that the HTTP body size should be between 1 and 199 bytes, and it uses a threshold to trigger an alert if 10 such events occur within 60 seconds from the same source.
This rule detects network traffic (specifically HTTP responses) that contains strings indicative of malware attempting to detect the presence of a hypervisor. It looks for the string "GetSystemFirmwareTable" and "VBOX" (case-insensitive) within the file data of the HTTP response. This combination suggests a malware payload checking if it's running in a virtualized environment, specifically VirtualBox, which is a common anti-analysis technique.
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