Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the execution of certutil with certain flags that allow the utility to download files from file-sharing websites
PowerShell Web Download
YARA-L
Detects suspicious ways to download files or content using PowerShell
Detects a suspicious certreq execution taken from the LOLBAS examples, which can be abused to download (small) files
Detects the execution of certutil with certain flags that allow the utility to download files
Alert on downloading a known file hash from a known IP with VT Relationships.
Alert on downloading a known file hash from a known IP with VT Relationships.
Example usage of WHOIS data, detecting an executable file download from a domain that's recently expired
Detects execution of the Notepad++ updater (gup) from a process other than Notepad++ to download files
Detects the use of Windows Defender MpCmdRun.EXE to download files
PowerShell DownloadFile
YARA-L
Detects the execution of powershell, a WebClient object creation and the invocation of DownloadFile in a single command line
PUA - Nimgrab Execution
YARA-L
Detects the usage of nimgrab, a tool bundled with the Nim programming framework and used for downloading files.
Detects a suspicious curl process start on Windows and outputs the requested document to a local file
Detects a suspicious call to Invoke-WebRequest cmdlet where the and output is located in a suspicious location
Executable downloaded by Microsoft Excel by user with GCP entity relationship
The following analytic detects the use of curl on Linux or MacOS systems to download a file from a remote source and pipe it directly to bash for execution. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names, command-line arguments, and parent processes. This activity is significant as it is commonly associated with malicious actions such as coinminers and exploitation of vulnerabilities like CVE-2021-44228 in Log4j. If confirmed malicious, this behavior could lead to unauthorized code execution, system compromise, and further exploitation within the environment.
This analytic detects file transfers flagged as malware that occurred over non-standard ports (other than 80 and 443) from Cisco Secure Firewall Threat Defense logs. Adversaries may attempt to bypass protocol-based detection or use alternate ports to blend in with other traffic. This analytic identifies these non-conventional flows and surfaces potential evasion techniques. If confirmed malicious, this indicates potential malware delivery or other nefarious activity.
This analytic detects the use of `wget` to download a file from a remote source and pipe its content directly to `bash` for execution. This behavior is commonly associated with malicious activities such as deploying coinminers or exploiting vulnerabilities like CVE-2021-44228 (Log4j). Successful execution of such commands could lead to arbitrary code execution, system compromise, and unauthorized data access.
This analytic detects when an excessive number of files are downloaded from Office 365 by the same user over a short period of time. Office 365 may bundle these files together as a ZIP file, however each file will have its own download event. This behavior may indicate an attacker staging data for exfiltration or an insider threat removing organizational data. Additional attention should be taken with any Azure Guest (#EXT#) accounts.
The following analytic identifies the download of potentially malicious file types, such as .scr, .dll, .bat, and .lnk, within a network. It leverages web proxy logs from Zscaler, focusing on blocked actions and analyzing fields like deviceowner, user, urlcategory, url, dest, and filename. This activity is significant as these file types are often used to spread malware, posing a threat to network security. If confirmed malicious, this activity could lead to malware execution, data compromise, or further network infiltration.
The following analytic identifies unauthorized software downloads to network devices via TFTP, FTP, or SSH/SCP. It detects this activity by analyzing network traffic events on specific ports (69, 21, 22) from devices categorized as network, router, or switch. This activity is significant because adversaries may exploit netbooting to load unauthorized operating systems, potentially compromising network integrity. If confirmed malicious, this could lead to unauthorized control over network devices, enabling further attacks, data exfiltration, or persistent access within the network.
This analytic detects file downloads involving executable, archive, or scripting-related file types that are commonly used in malware delivery. These file types include formats like PE executables, shell scripts, autorun files, installers, and known testing samples such as EICAR. This detection leverages Cisco Secure Firewall Threat Defense logs and enriches the results using a filetype lookup to provide context. If confirmed malicious, these downloads could indicate the initial infection vector, malware staging, or scripting abuse.
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