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The top two artifacts this signal returns are Apple's EOF and shell/executable. Apple's EOF is set when the file being downloaded is past the maximum file size limit. The shell/executable is set when the file being downloaded is an executable file. Attackers may use this signal to look for shellcode downloads to evade AV/sandbox detection.
This signal also looks for downloads which are associated with known binary formats for later analysis. This is an effort to make it easier for the analyst to determine the type of malware being downloaded. The malware is associated with the binary format using the signature detection engine (SDE) in open-source IDA Pro. This capability is automatically enabled on the network sensor by default. Signatures are automatically extracted from downloaded files using the open-source reverse-engineering tool GDB.
This is a good network sensor to be used at the perimeter as it is able to monitor external communications and downloads. However, it can also be used for internal communications as well. With enough volume on the network sensor, it is easy to determine user, application, or traffic trends in real time. This helps with first-line defense or incident response scenarios.
Since this is a network sensor, it is important for the analyst to be able to determine what type of file the system is running on (e.g. Windows, Mac, Linux, etc.), the version of the operating system, and the file format (e.g..exe,.msi,.dll, etc.). After all of these details have been extracted, the analyst can then create a rule to detect the type of malware that might be downloaded or executed. For example, if the victim's operating system is Windows, and if the binary is an.exe file, the analyst will make a rule in the platform and file format to detect the malware.
Malicious attackers often attempt to download and execute payloads from other hosts in an effort to bypass detection and to hide their malicious activity. This can be used to identify HTTP requests that are connecting to other hosts to download payloads. The host being scanned has a legitimate IP address, however the HTTP request is not from the IP address of the host being scanned. The request instead comes from an IP address that is scanned.
This is a common technique to mask the malicious traffic that is occurring on a network. When a device connects to a malicious IP address as the result of a SYN flood, the SYN packet is responded to with an ACK packet and the device attempts to download the malicious payload. This simple connection attempt is often not enough to identify a malicious device and will result in a large number of SYN-ACK packets to a single IP address.
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