![]() ![]() ![]() Should an attacker attempt to perform an SQL injection attack – where malicious code is injected into a web form in order to gain access to the underlying database – the HTML response size will likely be larger than it would be for a normal HTML response. HTML Response Sizes & Spikes in Database Activity Additionally, should a user log-in from an IP address in one country, and then log-in from an IP address in a different country within a relatively short period of time, this may indicate that a cyber-attack has, or is taking place.ĥ. Of course, cyber-attacks can originate from anywhere in theory, but it can be useful to bear this information in mind and keep an eye on what countries our incoming network traffic is coming from, and where our outbound network traffic is going. For example, if X number failed log-in attempts are recorded over Y time, we will need to execute a custom script which can either shut down the server, change the firewall settings, disable a user account or stop a specific process.Īccording to a report published by F-Secure, the majority of cyber attacks originate from “Russia, the Netherlands, the United States, China, and Germany”. Instead, we will need to automate a response based on a threshold condition. However, we don’t want to wait until the hackers have successful forced their way into the network. These types of log-in failures will be recorded in the server logs. Should a user repeatedly fail to log-in to an account, or simply fail to log-in to an account that no longer exists, this is a clear sign that someone, or something, is up to no good. We need to be able spot any unusual patterns of outbound network traffic. This type of network activity is generally easier to spot than most incoming attacks – precisely because they are persistent. Yet hackers often make use of command-and-control servers to enable threat persistence. ![]() We tend to focus a lot on the traffic that enters our network, and not so much on the traffic that goes out. We need to watch out for things like out-of-hours account usage, the volume of data accessed, and be able to determine if the account activity is out of character for that particular user. Should an attacker gain access to a user account on your network, they will often seek to elevate the account’s privileges, or use it to gain access to a different account with higher privileges. ![]() Below are the top 10 different ways to tell if your system has been compromised.ġ. Such indicators include unusual account activity, traffic patterns, registry changes, and anomalous file and folder activity. Speed up privacy and data subject access requests with eDiscovery.Īdvanced Persistent Threats (APTs) rely on our inability to detect, alert and respond to any indicators that may suggest that our system has been compromised. Data Classification Discover and Classify data on-premise and in the cloud.E-Discovery helps to speed up privacy and data subject access requests. Locate and Classify Sensitive Data and PIIĭata classification adds context to your security efforts.Risk Analysis Identify areas of risk and govern access to sensitive data.Īnalyze changes, and review current and historic permissions.Instant visibility on permission changes, spot users with excessive permissions and reverse unwanted changes. Threat Response Automated actions based on alerts.Threat Detection Anomaly spotting and real time alerts.Intelligent threat detection through real time alerts, anomaly spotting and automated threat response. Learn more On-Premise & Cloud Platforms We Audit Monitor, audit and report on changes and interactions with platforms, files and folders across your on-premises and cloud environment. ![]()
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