Cyber Hunter Hack
Amabella Tevebaugh
Founded in 2016, CyberHunter provides cyber security services including: Penetration Testing, Network Threat Assessments, Security Audits and Cyber Threat Hunting solutions to businesses and organizations to help uncover hidden security gaps fast.
CyberHunter Solutions has global clientele in all market verticals. We work with large brand name companies including Toyota, Costco Pharmacy, Arterra Wines Canada, Xerox, CIBC, and more, to help uncover hidden security gaps and ensure the safety of their sensitive information.
At CyberHunter Solutions, we stand at the forefront of web security. Our expertise in Penetration Testing, Vulnerability Assessments, Threat Hunting, and Incident Response, combined with top-tier cyber security consulting, forms a robust shield to help protect against cyber threats. Established in 2016, CyberHunter has been dedicated to safeguarding businesses and organizations across Canada, the USA, Europe, Australia, and the Caribbean, ensuring their digital assets remain as secure as possible.
Over 44% of cyber threats go undetected by traditional security controls due to lack of visibility into the places where threats exist. Evolve your security posture with continuous threat hunting services.
Whether its a security device audit or a full cyber security controls assessment. Using comprehensive security frameworks, CyberHunter will deliver a cyber security roadmap that is effective and balanced.
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The year is 2315. All humans are augmented in a way or the other. The rich do it through DNA manipulations early in the conception of a child. The middle class can afford some DNA changes of lesser quality (with potential side effects), assisted with physical cyber implants. The less fortunate resort in low quality implants, or exchange functioning organs and appendages for high quality cyber implants.
Threat hunting is the practice of proactively searching for cyber threats that are lurking undetected in a network. Cyber threat hunting digs deep to find malicious actors in your environment that have slipped past your initial endpoint security defenses.
After sneaking in, an attacker can stealthily remain in a network for months as they quietly collect data, look for confidential material, or obtain login credentials that will allow them to move laterally across the environment.
Threat hunters assume that adversaries are already in the system, and they initiate investigation to find unusual behavior that may indicate the presence of malicious activity. In proactive threat hunting, this initiation of investigation typically falls into three main categories:
This approach to threat hunting involves leveraging tactical threat intelligence to catalog known IOCs and IOAs associated with new threats. These then become triggers that threat hunters use to uncover potential hidden attacks or ongoing malicious activity.
The third approach combines powerful data analysis and machine learning to sift through a massive amount of information in order to detect irregularities that may suggest potential malicious activity. These anomalies become hunting leads that are investigated by skilled analysts to identify stealthy threats.
A trigger points threat hunters to a specific system or area of the network for further investigation when advanced detection tools identify unusual actions that may indicate malicious activity. Often, a hypothesis about a new threat can be the trigger for proactive hunting. For example, a security team may search for advanced threats that use tools like fileless malware to evade existing defenses.
During the investigation phase, the threat hunter uses technology such as EDR (Endpoint Detection and Response) to take a deep dive into potential malicious compromise of a system. The investigation continues until either the activity is deemed benign or a complete picture of the malicious behavior has been created.
The resolution phase involves communicating relevant malicious activity intelligence to operations and security teams so they can respond to the incident and mitigate threats. The data gathered about both malicious and benign activity can be fed into automated technology to improve its effectiveness without further human intervention.
Watch an on-demand crowdcast on the Expert Tips For Enhancing Hunting in Your Organization to see the skills required for a successful threat hunting program, how to operationalize threat hunting in your organization. Watch CrowdCast
Hunting leads are then analyzed by human threat hunters, who are skilled in identifying the signs of adversary activity, which can then be managed through the same pipeline. This process is illustrated below:
Although the concept of threat hunting is clear, the challenge comes with actually sourcing personnel who can conduct the exercise properly. The best threat hunters are those that are battle-tested with ample experience in combating cyber adversaries.
A top threat hunting service takes a three-pronged approach to attack detection. Along with skilled security professionals, it includes two other components necessary for successful hunting: vast data and powerful analytics.
Since proactive hunting depends on human interaction and intervention, success depends on who is hunting through the data. Intrusion analysts must have expertise to identify sophisticated targeted attacks, and they also must have the necessary security resources to respond to any discovery of unusual behavior.
The service must also have the ability to gather and store granular system events data in order to provide absolute visibility into all endpoints and network assets. With the use of a scalable cloud infrastructure, a good security service then aggregates and perform real-time analysis on these large data sets.
Lastly, a threat hunting solution should be able to cross-references internal organizational data with the latest threat intelligence about external trends and deploys sophisticated tools to effectively analyze and correlate malicious actions.
Retaining security data for extended periods of time enables threat hunters to extract enhanced visibility and threat context from real-time and historical data, supporting the completeness and accuracy of investigation and analysis. This extended storage of security data empowers teams to proactively and more quickly search and uncover hidden threats in the environment; remove advanced persistent threats (APTs) by sifting through the data to detect irregularities that might suggest potentially malicious behavior; and better prioritize and address vulnerabilities before they can be weaponized.
By ingesting and retaining security data in a repository, users can quickly search and correlate disparate data sets to get new insights and a clearer understanding of the environment. With the unification of multiple log sources including security detections and threat intelligence, hunters can better define and narrow the scope of detections to precisely match adversary techniques and behaviors, resulting in fewer false positives. Once extended storage and management is enabled with enriched security telemetry, security teams gain the needed visibility and context for their investigations to accelerate detection and response of potential threats.
This proactive managed hunting finds breaches days, weeks or even months before they would have been uncovered by conventional automated-only methods, effectively limiting the opportunity for attackers to coordinate data exfiltration operations that ultimately lead to mega breaches.
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Scott Taschler has over 20 years of experience in the cybersecurity industry with a strong focus on optimizing workflows in the security operations center (SOC). In his current role as director of product marketing for CrowdStrike, Scott works with organizations across the globe to understand the biggest barriers to productivity and drive thought leadership on optimizing incident response and threat hunting. Prior to CrowdStrike, Scott spent 14 years as a technical leader for McAfee, with deep expertise in SIEM, incident response, threat intelligence and other building blocks of a successful SOC. Scott is based in Minneapolis, MN.
Traditional cyber threat hunting is based on a manual process in which a security analyst scrutinizes data based on their knowledge of the network and systems to build assumptions about potential threats. Cyber threat hunting has advanced in effectiveness and efficiency through the addition of automation, machine learning, and user and entity behavior analytics (UEBA) to alert enterprise security teams of potential risks.
Baselining aids the hunter in understanding the overall hunt environment, but attack-specific hunts can help track malicious activity faster. Attack-specific hunts typically focus on a specific threat actor or threat. However, the limits of their specific hunt model can throw off false positives. Attack-specific hunts combine with baselining often produce good results.
Hunting for needles in a data haystack can overwhelm teams of hunters. Third-party providers can help guide hunters to more successful hunts. SANS lists the following benefits hunters can gather from third-party sources:
Modern adversaries are automating their techniques, tactics, and procedures to evade preventative defenses, so it makes sense that enterprise security teams can better keep up with attacks by automating their manual workloads. Incorporating automation benefits cyber threat hunting processes and helps SOCs better use their staff and resources. These include:
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