Possible Alerts During the TWS Installation or Update

Overview:

Our Trader Workstation (TWS) is a global trading system enabling clients to use a suite of online trading tools. The TWS can be installed on Windows, Mac OS X and Linux, and it requires the presence of a Java Runtime Environment (JRE). Therefore, when you install the TWS, it also downloads the necessary Java files in order to run using a Java Virtual Machine (JVM).

Sometimes, during the installation or update process of the TWS, software such as Antivirus applications will show an alert and prevent the process to complete. The warning and other messages in this case can safely be ignored, and you can complete the installation of the trading platform.

Technical Background

How does my security system scan the files I download from the Internet?

Modern antivirus and anti-malware engines base their threats recognition on:

Signature-based scanning: the antivirus scanner searches for a specific pattern of bytes that was previously catalogued as malicious or at least suspicious. The antivirus may check as well file signatures (called hash) against a database of known threats (called virus definitions).

Analysis of behavior: the antivirus engine detects specific actions which individually may not represent a threat but, when correlated together, resemble the usual activity of a malicious software (e.g. the ability of a code to replicate or hide itself, download additional files from the Internet, contact external hosts over the Internet, modify the Operating System registry) This type of scan is designed to detect previously unknown computer threats.

Heuristic detection: the scanner de-compiles the code or runs it within a virtual, restricted environment. It then classifies and weights the actions performed by the code against a predefined, behavior based, rule set.

Cloud-based protection and machine learning: those are relatively new techniques. The file that needs to be analyzed is sent to the antivirus / security system vendor cloud where sophisticated algorithms perform a deep analysis of the code authenticity and behavior.

Are those scan methods infallible?

Modern threats are very sophisticated and, like biological viruses, can mutate their code and their signatures. Moreover, new malwares and exploits are created every day and spread rapidly over the Internet. The threat recognition methods mentioned above are therefore not infallible but can guarantee a high percentage of malware recognition when combined together.

While signature based techniques are very successful in recognizing known threats and less prone to false positives, they are not so efficient in recognizing unknown malware or mutations of existing ones. In this area, the behavioral and heuristic methods perform much better although they are more prone to false positives since their detection is not based on bare code matching but on a certain degree of interpretation and hence uncertainty.

The term "false positive" is used when a security system classifies an innocuous file or process as malware.