I can remember sometime around late 2001 or early 2002, GREPing Snort logs for that needle in a haystack until I thought I was going to go blind. I further recall around the same time cheering the release of the Analysis Console for Intrusion Databases (ACID) tool which helped to organize the information into something that I could start using to correlate events by way of analysis of traffic patterns.
Skip ahead and the issues we faced while correlating data subtly changed from a one-off analysis to a lack of standardization for the alert formats that were available in the EDR marketplace. Each vendor was producing significant amounts of what was arguably critical information, but unfortunately all in their own proprietary format. This rendered log analysis and information tools constantly behind the 8-ball when trying to ingest all of these critical pieces of disparate event information.
We have since evolved to the point that log file information sharing can be easily facilitated through a number of industry standards, i.e., RFC 6872. Unfortunately, with the advent of the Internet of Things (IoT), we have also created new challenges that must be addressed in order to make the most effective use of data during event correlation. Specifically, how do we quickly correlate and review:
a. Large amounts of data;
b. Data delivered from a number of different resources (IoT);
c. Data which may be trickling in over an extended period of time and,
d. Data segments that, when evaluated separately, will not give insight into the “Big Picture”
How can we now ingest these large amounts of data from disparate devices and rapidly draw conclusions that allow us to make educated decisions during the incident response life cycle? I can envision success coming through the intersection of 4 coordinated activities, all facilitated through event automation:
1. Event filtering – This consists of discarding events that are deemed to be irrelevant by the event correlator. This is also important when we seek to avoid alarm fatigue due to a proliferation of nuisance alarms.
2. Event aggregation – This is a technique where a collection of many similar events (not necessarily identical) are combined into an aggregate that represents the underlying event data.
3. Event Masking – This consists of ignoring events pertaining to systems that are downstream of a failed system.
4. Root cause analysis – This is the last and quite possibly the most complex step of event correlation. Through root cause analysis, we can visualize data juxtapositions to identify similarities or matches between events to detect, determine whether some events can be explained by others, or identify causational factors between security events.
The results of these 4 event activities will promote the identification and correlation of similar cyber security incidents, events and epidemiologies.
According to psychology experts, up to 90% of information is transmitted to the human brain visually. Taking that into consideration, when we are seeking to construct an associational link between large amounts of data we, therefore, must be able to process the information utilizing a visual model. DFLabs IncMan™ provides a feature rich correlation engine that is able to extrapolate information from cyber incidents in order to present the analyst with a contextualized representation of current and historical cyber incident data.
As we can see from the correlation graph above, IncMan has helped simplify and speed up a comprehensive response to identifying the original infection point of entry into the network and then visual representing the network nodes that were subsequently affected, denoted by their associational links.
The ability to ingest large amounts of data and conduct associational link analysis and correlation, while critical, does not have to be overly complicated, provided of course that you have the right tools. If you’re interested in seeing additional capabilities available to simplify your cyber incident response processes, please contact us for a demo at [email protected]
Small businesses may not be the first thing that comes to people’s minds when talking about prime targets for cyber attackers. This is because government agencies, corporations, along with organizations and companies that are part of a country’s critical infrastructure are much more coveted targets, due to the high reward potential associated with them – both in terms of financial gains and retrieving confidential information. However, data breaches and other types of cyber incidents have recently become a common occurrence for many small businesses. Hackers are increasingly trying to gain access to the emails and acquire personal and other confidential information of their employees that are in charge of handling the companies’ finances.
One of the reasons why small businesses are seeing a rise in cyber attacks and data breaches is that cyber criminals have become increasingly aware of the fact that hacking into a small business’ computer network is fairly easy, in part due to the low cyber-security awareness of their employees. Additionally, the cyber defense programs and solutions that small businesses utilize are weak or even non-existent, thus making them easy prey despite not having a particularly high financial reward potential for cyber criminals. Lastly, small businesses have adapted to cloud services to conduct a large portion of their operations, and most cloud providers offer data encryption, making them extremely vulnerable to cyber threats.
What Criminals Are After
In most cases, the typical cyber attack on a small business’ computer network aims to retrieve a company’s financial information, employee records, customer records, as well as customer credit or debit card information, which they could later use to steal company funds, commit financial fraud, identity theft, or extortion.
The most common types of cyber security events faced by small businesses include phishing, SQL injections, malware, ransomware, DDoS attacks, and web-based attacks. The first line of defense against these attacks are a company’s employees. They need to go through cyber-security training to be able to recognize and detect a cyber threat – with statistics showing that a large part of data breaches are related to employee inattention.
Security Automation Is the Next Line of Defense
While cyber-security training for employees is something that every company needs to provide in this age of constant threat of cyber attacks, that alone is not enough to protect businesses against all potential cyber security incidents. Raising employee cyber-security awareness should be followed up by implementing appropriate solutions aimed at detecting, tracking, and eradicating cyber security incidents. In that regard, small businesses could use a security automation and orchestration platform, which can greatly reduce their reaction time following a cyber incident, and prepare them for more timely detection and prevention of future attacks.
Such a platform can help you protect customer and employee information, as well as valuable financial information, since it is capable of assessing the scope of the incident, identifying the affected device or devices, and containing the damage, by providing complete reports on the damages occurred, in addition to providing specialized rules and strategies that allow cyber-security professionals to react much more quickly and effectively to eradicate the incident. These types of platforms are the most straightforward and effective solution for small businesses’ concerns regarding cyber threats, which they are only going to see more of in the near future.
In March, the U.S. Office of Management and Budget (OMB) released a report on the cyber performance of federal agencies, revealing that a total of 30,899 cyber incidents were reported by them in fiscal 2016. The OMB states that this is an alarming figure and that it indicates that there are significant gaps in the cyber defenses of federal agencies across the country.
According to the report, federal agencies have made good progress in improving their cyber defenses last year, but are still quite vulnerable to cyber attacks and need to ramp up their efforts for protecting their networks and data. Of the almost 31,000 incidents in 2016, a total of 16 have been designated as major incidents, which means they had the potential to threaten national security, the economy, civil liberties, or relations with foreign countries. With this in mind, federal agencies need to keep stepping up their efforts for strengthening their defense against cyber attacks.
Detecting and Preventing Malware and Phishing Attacks
Given that the report states the vast majority of cyber incidents reported by federal agencies involved phishing attacks and malware infections, they are now advised to look into improving their capabilities to respond to these types of attacks and detect and prevent them in the future. There are a couple of ways this can be done. When talking about cyber incident response, one of the most cost-effective and efficient solutions is employing an automation-and-orchestration cyber incident response platform, capable of keeping cyber security events under control, mitigating risks and improving an organization’s ability to prevent future attacks.
These platforms have wide-ranging features that give Computer Security Incident Response Teams (CSIRTs) the opportunity to detect, track and predict cyber security breaches immediately. There are platforms that can help reduce reaction times when responding to an incident, through the employment of automated playbooks designed to accelerate the response to specific types of attacks – such as malware or phishing attacks, which are often faced by government agencies.
Integrated Knowledge Base to Guide You Through the Response Process
Through the use of those playbooks, as well as the available integrated knowledge base, cyber security professionals can quickly identify where an attack is coming from and determine the location of the infected or breached device or part of the network, and follow that up with the containment of the damage to prevent it from spreading.
What’s more, these types of platforms can create automatically generated reports on every incident, in addition to collecting digital evidence for forensic investigations, allowing for the quick notification of law enforcement and provide them with the necessary documentation, thus complying with data breach notification and reporting regulations.
This approach can increase cyber security teams’ ability to resolve incidents in a timely manner and prevent government agencies from losing valuable and sensitive data that could be used by attackers for ransomware or to damage the country’s critical infrastructure.