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How to Detect and Stop Bad Bots

  • By Gcore
  • June 11, 2024
  • 7 min read
How to Detect and Stop Bad Bots

A bot, short for “robot,” is a software program that can perform tasks automatically, quickly, and efficiently. Both good bots and bad bots exist; Googlebot facilitates web page indexing, but LizardStresser orchestrates DDoS attacks. Because good and bad bots share certain traits, distinguishing between them can be tricky unless the correct bot detection techniques are used. In this article, we examine the evolution of bot detection techniques in response to the ever-changing threat landscape and discuss how bots can be detected and, when desirable, stopped.

What Is Bot Detection?

Bot detection is the process of identifying and distinguishing between legitimate human users, good bots, and bad bots. Because bots can mimic certain legitimate user behaviors, such as mouse movements and keystrokes, cybersecurity professionals and business leaders should implement bot detection as an integral component of their security strategy. Otherwise, you could end up with misleading analytics, compromised user experiences, and potential security breaches that can harm your organization’s reputation and bottom line.

Bot detection helps to mitigate malicious bot activities such as unethical web scraping, spamming, account takeover, click fraud, and DDoS attacks, without interfering with good bots such as website uptime monitors. Effective bot detection enhances cybersecurity and improves the web user’s overall experience.

Botnet Detection Techniques

Over the decades, different botnet mitigation techniques have been developed to deal with the challenges of stopping bad bots while allowing good bots to continue their activities. These techniques typically involve identifying the command-and-control infrastructure coordinating the botnet activities. However, since botnets keep evolving to bypass mitigation measures, new and better botnet detection and mitigation strategies are continuously being developed.

Let’s examine botnet detection techniques. We’ll start with the oldest and then look at contemporary techniques. However, new techniques build on the old, and all these techniques still play a part in botnet detection today.

Intrusion Detection Systems

Figure 1: How a basic intrusion detection system works

Intrusion detection systems (IDS) emerged in the late 1980s to monitor and analyze network traffic for security incidents like unauthorized access and policy violations. IDS can detect threats, such as botnets, and alert security teams. Intrusion prevention systems (IPS) can proactively mitigate detected threats. Modern IDPS (intrusion detection and prevention systems) combine IDS and IPS functions.

IDS is trained on data from sources like network traffic, system logs, and application activity. Botnet-focused IDS can be anomaly-based (monitoring abnormal behaviors) or signature-based (matching patterns with known botnets).

When a potential botnet is detected, the IDS generates alerts or notifications based on severity. Depending on cybersecurity policies, the IDS may block traffic, isolate systems, or alert security teams. IDS also generates incident logs and reports, detailing the time of incidents, detected threats, countermeasures, and recommendations for improvement.

Intrusion detection systems can be grouped into six types:

  • Network-Based Intrusion Detection Systems (NIDS): These monitor real-time network traffic and analyze packets on network segments or devices to detect attacks like DoS, port scanning, and reconnaissance.
  • Protocol-Based Intrusion Detection Systems (PIDS): A type of NIDS that targets specific network communication protocols (e.g., P2P, HTTP, IRC) to protect against intrusion and policy violations. PIDS is limited in scope.
  • Machine Learning-Based Intrusion Detection Systems (ML-IDS): Subset of NIDS using machine learning algorithms to detect network intrusions and malicious activities by learning from historical data. ML-IDS is more efficient than traditional rule-based systems but requires fine-tuning to minimize false positives.
  • Host-Based Intrusion Detection Systems (HIDS): Monitor the computer infrastructure they are installed on (e.g., computers, servers) to safeguard against attacks. They gather data, analyze traffic, and log suspicious behavior, providing insights into system health and security. HIDS is an approach that’s most suitable for small teams with lean overheads.
  • Hybrid Intrusion Detection Systems: Combine different detection techniques (e.g., NIDS, HIDS, anomaly-based, signature-based) in a single framework to effectively detect botnet activity and provide insightful data. Problematically, they create a single point of failure and are complex to troubleshoot.
  • Multi-Layered Intrusion Detection Systems: These systems combine different detection techniques (e.g., NIDS, HIDS, anomaly-based, signature-based) in a layered approach, with each IDS as a separate component. They eliminate a single point of failure and simplify troubleshooting but complicate setup, management, and reporting.

To summarize, intrusion detection systems (IDS) enhance network security by monitoring and analyzing traffic to detect potential threats, providing valuable insights and real-time response capabilities. However, they can produce false positives, require ongoing maintenance and fine-tuning, and may be complex to manage and integrate into existing security frameworks.

Honeynet

First used around the year 2000, a honeynet is a network of traps or decoy networks (honeypots) set up with built-in vulnerabilities to attract cyberattacks. A typical honeynet comprises two or more honeypots. Honeynets aid in botnet detection by deliberately exposing vulnerabilities that attract malicious attacks. This deception technique allows botnet attacks to be studied in a controlled environment or managed and stopped, as needed.

Figure 2: Honeynet setup

As such, there are two main types of honeynets: research honeynets and production honeynets. Research honeynets are primarily set up to study attack vector tactics, techniques, and procedures, while production honeynets are deployed within production environments.

Despite their effectiveness, honeynets have limitations, such as setup complexity, limited network coverage, and high maintenance overhead, especially for high-capacity setups. Additionally, honeynets can sometimes be detected, bypassed, armed, and deployed against the production network itself.

DNS-Based Botnet Detection

Figure 3: DNS-based botnet detection

Around 2005, the DNS-based botnet detection technique started to gain popularity. DNS-based botnet detection works by monitoring the way computers use the Domain Name System (DNS) to find websites. When you enter a website address into your browser, your computer uses DNS to find the numerical IP address that corresponds to that website. Botnets, which are networks of infected computers controlled by cybercriminals, often need to communicate with the attackers’ servers to receive instructions. They use DNS to find these servers.

A botnet detection system monitors all DNS requests made by network computers. They analyze which domain names are being requested and how often. Since botnets often use unusual domain names that people don’t typically visit, the systems look for patterns that indicate suspicious activity, such as frequent requests to these strange or newly created domains. They can then block the requests to these malicious domains, preventing the infected computers from communicating with the cybercriminals.

Although they provide real-time detection, network-wide coverage, low false-positive rates, and threat intelligence gathering, they are prone to evasion techniques and are limited by their reliance on external threat intelligence sources for domain reputation data.

Comparison of Botnet Detection Techniques

Here’s how these three botnet detection techniques compare.

FeatureIntrusion Detection Systems (IDS)HoneynetDNS-Based Botnet Detection
DefinitionNetwork security tools monitor and analyze network traffic for potential threatsNetwork of traps or decoy networks designed to attract cyberattacksTechnique monitoring and analyzing DNS traffic for botnet activity
Detection focusNetwork traffic, system logs, and application activityCyberattackers’ behavior and tacticsDNS traffic patterns, requests, and responses
Detection methodsSignature-based, anomaly-based, machine learningDeception through vulnerabilitiesDomain reputation checks, anomaly detection
Data collectedNetwork traffic, system logs, application activityAttack interactions with honeypotsDNS traffic, requests, responses
Alerting and responseGenerates alerts, blocks traffic, isolates systemsStudies attacks, handles malicious interactionsBlocks connections, redirects to sinkholes, alerts
Use casesPrevents unauthorized access, breaches, policy violationsStudies attack tactics, gathers threat intelligenceReal-time botnet detection, low false positives
ComplexityVaries based on IDS type (NIDS, HIDS, hybrid, multi-layered)Moderate to high due to setup and maintenanceModerate, relies on DNS traffic analysis
EffectivenessEffective for detecting network-based threatsEffective for studying attacks, gathering threat intelEffective for real-time botnet detection
LimitationsCan be bypassed by sophisticated attacksSetup complexity, limited network coverageProne to evasion techniques, reliance on external data
DeploymentNetwork-wide, host-based, hybrid, multi-layeredControlled environment, production networksDNS infrastructure monitoring
PopularityWidely used in cybersecurityLess common due to complexityIncreasing popularity
Future evolutionEvolving to integrate AI, threat intelligenceEvolving to address evasion techniquesEvolving to handle DNS tunneling
Management overheadVaried based on IDS type and deploymentHigh for setup, maintenance, and monitoringModerate for DNS traffic analysis

How to Stop Botnets

Now we know how undesirable botnets are detected, let’s turn to how they can be stopped. Three main options exist: CAPTCHA, rate limiting, and bot protection.

A. JS Challenges/CAPTCHA

One way to stop bad bot activity is by implementing JS Challenges and CAPTCHA on your websites or web applications. Both are effective security mechanisms used to protect against malicious bots, automated scripts, and other unauthorized automated activities, such as web scraping.

Figure 4: CAPTCHA

Gcore provides JS Challenge and JS CAPTCHA solutions as part of Gcore WAAP. First, a JS challenge runs a small piece of JavaScript code in the user’s browser, which a bot typically cannot execute. This code checks for typical human behavior and browser characteristics to ensure the request comes from a legitimate user. Next, a CAPTCHA presents a task that is easy for humans but difficult for bots, such as identifying objects in images or solving simple puzzles. By completing these tasks, users prove they are human, thereby preventing automated systems from accessing or abusing web services.

But there’s a downside: CAPTCHAs do not distinguish between beneficial bots (such as search engine crawlers or monitoring tools) and malicious bots. They can impede good bots from performing their intended functions. To allow good bots while still protecting against malicious ones, website administrators need to create exceptions or use alternative verification methods that can recognize and permit trusted bots. Gcore manages this process with our WAAP customers to ensure good bots continue to function effectively.

B. Rate Limiting

Figure 5: Rate Limiting

A key characteristic of bots is their ability to automate and rapidly scale tasks. For example, bots can fill and submit forms much faster than humans, sending a large number of requests to the server and receiving an equally large number of responses. This can drain server resources and degrade site performance.

Rate limiting controls the number of requests an IP address or IP range can make to a resource within a certain timeframe. This method mitigates bad bot activity on websites or web applications. Good bots don’t engage in this kind of behavior, so there’s not much risk of stopping their activity with a rate limiter.

Gcore Rate Limiter protects your websites and web applications from excessive requests that signal bad bot activity. You can specify a set of rules dictating how many requests are allowed per IP address per second. Once this limit is exceeded, the requester will receive an HTTP 429 (Too Many Requests) error message.

Stop Bad Bots with Gcore WAAP

While bot detection techniques such as honeynets, DNS-based bot detectors, and intrusion detection systems (IDSs) are effective in their own right, a hybrid or multi-layered bot detection approach is the most accurate way to detect bot activity. Gcore WAAP (Web Application Firewall + API Protection) is the ultimate all-in-one bot detection and protection solution for your websites and web applications. Gcore WAAP incorporates bot protection with a web application firewall, API security, and advanced DDoS protection to offer enhanced enterprise-grade security.

We protect against threats including and beyond the OWASP Top 10, addressing unpatched vulnerabilities and zero-day attacks by leveraging machine learning technologies. With Gcore WAAP, you enjoy API-specific protection and security against credential stuffing, account takeover, brute force attacks, and L7 DDoS attacks.

Gcore WAAP is scalable to meet your needs, regardless of industry. It is also easy to deploy—no additional hardware, software, or changes in the code are required on your part. Once you send a request, Gcore will start protecting your web resources immediately. Request Gcore WAAP today and enjoy bot-free websites and web applications.

Conclusion

Detecting and stopping bad bots involves a combination of advanced techniques tailored to identify and mitigate malicious activities while allowing beneficial bots to operate. Implementing a multi-layered bot detection strategy, such as Gcore WAAP, ensures comprehensive protection against various threats while maintaining website performance and user experience.

Gcore WAAP is integrated into Gcore’s global infrastructure, operating on 180+ global points of presence in Tier III and IV data centers, ensuring optimal performance, low latency worldwide, and outstanding security at the network’s edge. Secure your web applications and APIs against the most sophisticated cyber threats to safeguard your business’ reputation.

Discover Gcore WAAP

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TCP DDoS (distributed denial-of-service) attacks pose a significant threat to network infrastructure. They exploit vulnerabilities in the TCP protocol to overwhelm servers and disrupt legitimate traffic. This article explains the mechanics of TCP DDoS attacks, their potential impact, and effective strategies for prevention and mitigation. We’ll explore different types of TCP DDoS attacks, such as SYN floods and ACK floods, and discuss how to safeguard your systems against these threats using techniques like SYN cookies, traffic filtering, and load balancing.What Is a TCP DDoS Attack?A TCP DDoS attack (Transmission Control Protocol distributed denial-of-service) is a type of cyberattack that targets the TCP protocol, a fundamental communication protocol used in networked systems. DDoS attacks aim to disrupt normal traffic on a network by overwhelming it with a flood of malicious traffic.In a TCP DDoS attack, the attacker uses multiple compromised devices, often referred to as a botnet, to send a huge number of packets (small units of data) to a target network or server. The goal is to overload the network components, making them unable to handle legitimate requests from real users.The principle of a DDoS attackTCP is widely used for internet communications, including web browsing and email, but it wasn’t originally designed with robust security features. This lack of built-in security makes it vulnerable to exploitation. Hackers can send different types of TCP packets to execute their attacks. To understand this, let’s examine how TCP normally functions and what happens during a DDoS attack in the three most common TCP attack methods.How Does a TCP DDoS Attack Work?When a device, like your computer, wants to connect to a server, such as a website, it follows a three-step process known as the TCP handshake.How TCP normally worksEach type of TCP DDoS attack (SYN flood, SYN-ACK flood, and ACK flood) targets a different stage of this handshake. By overwhelming the server at each stage, the attacker disrupts the handshake process, causing downtime and service disruption for legitimate users.Let’s look at how TCP works and how different types of attacks exploit each stage.Initiating the Connection: SYN FloodNormal process: Your device sends a SYN packet to the server to request a connection.SYN flood attack: The attacker sends a massive number of SYN packets to the server, pretending to request connections. The server tries to respond to each request by sending SYN-ACK packets. However, since the attacker never completes the handshake, the server is left waiting with numerous half-open connections, consuming its resources and making it unable to handle legitimate requests.In an SYN flood attack, the attacker can use their own resources to send the requests or use TCP/IP hijacking to spoof legitimate IP addresses, making the malicious requests appear genuine. The spoofed systems do not respond to the SYN-ACK packets because they are unaware of the SYN packets sent on their behalf. Even though the server eventually drops these half-open connections, the sheer volume can exceed the server’s capacity, rendering it unresponsive to real clients.How a SYN flood attack worksAcknowledging the Request: SYN-ACK FloodNormal process: The server receives the SYN packet and responds with a SYN-ACK packet to acknowledge the connection request.SYN-ACK flood attack: The attacker sends a large number of SYN-ACK packets to the server without any corresponding SYN requests. The server has to process these unexpected packets, which uses up its resources and disrupts its ability to function properly.A SYN-ACK flood leverages an unusual approach by sending SYN-ACK packets to the server. Even though they are not part of a legitimate handshake, these packets must be processed, and a significant number of such packets can cause server-side disruptions.Completing the Handshake: ACK PacketsNormal process: Your device responds to the server’s SYN-ACK packet with an ACK packet, completing the handshake and establishing the connection.ACK flood attack: The attacker sends a flood of ACK packets to the server. These packets look like legitimate responses, so the server spends its resources processing them. This overwhelms the server, making it difficult for it to handle actual connections from real users.An ACK flood exploits the TCP function for data delivery acknowledgment. When a client receives the requested data, it sends an ACK message to inform the server that the data was successfully received. Attackers take advantage of this by sending a large number of forged ACK packets, which look identical to legitimate ones. This overwhelms the server, as it cannot distinguish between real and fake ACK messages, leading to resource exhaustion and service disruption.What Damage Can a TCP DDoS Attack Cause?A successful TCP DDoS attack overwhelms the target server with fake requests, rendering the server unavailable to real users and the services relying on it. The duration of the downtime and the criticality of the affected services can result in significant financial losses and reputational damage for the business. Unprotected businesses lose an average of $6,000 per minute during a DDoS attack. The unavailability of an online banking service or a medical institution can cause real distress and disruption with serious consequences for customers.DDoS attacks can also act as a diversion for the target company’s IT and security teams, acting as a smokescreen for other malicious activities. While the incident response team is focused on restoring the attacked server’s performance, hackers might exploit the distraction to carry out phishing attempts or other attacks on sensitive information stored on the server.How to Prevent TCP DDoS AttacksWhen an attack succeeds, it’s already too late to prevent it. Therefore, the best tactics against all kinds of DDoS attacks are defensive measures.One option is to use a comprehensive third-party DDoS mitigation service, like Gcore DDoS Protection, and leave it to the specialists. We recommend this approach, as using a robust, proven protection service is usually the most convenient and effective strategy.Alternatively, you can attempt to apply prevention mechanisms yourself. For TCP DDoS attacks, these include the following:SYN cookies: Protect against SYN flood attacks by adding a special value to SYN-ACK packets. The server will only restore the connection if this value is returned in the client’s ACK message, preventing half-open connections from consuming resources.Filtering and blocking: Identify and block traffic from irrelevant sources or patterns that seem suspicious.Blocking unused ports: Reduce the potential attack surface by closing ports that aren’t in use.Rate limiting: To prevent overload, set thresholds for the amount of traffic the server can handle, including the number of SYN requests.Load balancing and redundancy: Distribute traffic using load balancers and have backup servers ready to handle increased traffic volumes.Caching and CDNs: Use caching and content delivery networks to minimize the resources needed to handle repetitive requests.However, following best security practices doesn’t eliminate the risk of an attack entirely, so it’s also important to monitor traffic for spikes and analyze such spikes for anomalies in order to react promptly in case of an attack. If you’re undertaking DDoS mitigation yourself, this will involve some manual processes. Third-party providers will analyze traffic on your behalf, and some—like Gcore—offer real-time visibility into traffic so you can watch DDoS attacks being stopped as they happen.Thwart Attackers with Gcore DDoS ProtectionOur global network of scrubbing centers is engineered to keep your business operational during a DDoS attack. Your customers will experience uninterrupted functionality even during a DDoS attack, no matter the type. Gcore scrubbing centers are equipped with backup copies of critical systems and network equipment, underscoring our dedication to providing continuous service and robust security.Gcore DDoS Protection offers businesses the following benefits:Robust infrastructure: With over 148 Tbps of network capacity and a global network that’s constantly learning from millions of internet properties, Gcore protects you against the largest and most sophisticated attacks.Proprietary DDoS protection solution: Tailored specifically to ward off a broad spectrum of DDoS threats.Detection of low-frequency attacks from the first query: Even the most subtle attacks are detected.Exceptionally low false-positive rate (less than 0.01%): Maintains normal operations by accurately distinguishing between legitimate traffic and attack vectors.Real-time statistics in the control panel: Offers immediate insights into traffic patterns and potential threats, allowing for swift action.Server protection in your data center: Extends Gcore’s protective measures directly to your infrastructure through a Generic Routing Encapsulation (GRE) tunneling protocol, regardless of location.24/7, highly qualified technical support: Ensures that expert help is always on hand, day or night, to address any concerns or attacks.Exceptional uptime rate with 99.99% SLA: A seamless and uninterrupted user experience backed up by Tier III and IV data centers.ConclusionDDoS attacks, including various kinds of TCP attacks, are still a real threat to online services and can cause real damage to businesses. Preparing for the attacks in advance, however, can help to mitigate their consequences or avoid losses completely.Experience the peace of mind that comes with advanced protection with Gcore DDoS Protection for comprehensive security against DDoS attacks. With over 1 Tbps of total filtering capacity and a 99.99% SLA, your digital assets remain protected from even the most complex, sophisticated, and sustained attacks. Gcore helps to maintain the continuity of your online services, regardless of potential attackers’ motivations.Explore Gcore DDoS Protection

Ways to Harm: Understanding DDoS Attacks from the Attacker’s View

Distributed denial-of-service (DDoS) attacks pose a significant challenge to digital security, aiming to overload systems with traffic and disrupt service. But why do they occur? In this article, we’ll explore the underlying psychology and motivations behind DDoS attacks. We’ll also look at what attacker profiles mean for your defense mechanisms.Who Carries Out DDoS Attacks?Who launches DDoS attacks?DDoS attackers are diverse and are not an organized group but share common traits, skills, and mindsets. They often have a deep understanding of network systems and a desire to challenge these structures. Their knowledge and expertise enable them to identify and exploit vulnerabilities, launching attacks that disrupt services for users and businesses. This knowledge, complemented by patience and persistence, is essential for carrying out prolonged attacks.Many DDoS attackers find excitement in causing disruption, taking advantage of the anonymity the internet provides. This anonymity allows them to operate without immediate repercussions, emboldening them to target large and important systems. The thrill they experience may be amplified by the challenge and the sense of power it gives them over their targets.Successfully executing an attack can also significantly boost an attacker’s status within their circles. Recognition from their peers encourages them to launch more ambitious attacks. Their actions, while destructive, are not random. Instead, they reflect a calculated attempt to assert dominance, explore their capabilities, and become valued by the DDoSer community.What Motivates Attackers?DDoS attack motivation can be political, competitive, financial, terrorist, revenge-driven or to seek attentionUnderstanding the motivations behind DDoS attacks offers insights into the attacker’s mindset and aids in developing robust defenses. To better grasp these motivations, we’ll examine each one through the lens of a practical example.Financial ExtortionFinancial gain is a significant driver of DDoS attacks, with cybercriminals seeking to exploit online platforms for personal profit. One common tactic involves extortion, where attackers cripple a service with a DDoS attack and then demand a ransom—often in cryptocurrency—to stop the disruption. This strategy appeals to attackers because digital currencies provide a certain level of anonymity, reducing the risk of getting caught.In February 2024, Change Healthcare, a major US healthcare processing company, was attacked by DDoS and ransomware attacks that caused significant financial strain in the sector. Many associated clinics and laboratories warned of cash shortages and the potential need for bank loans to meet their financial obligations. It’s alleged that the company paid a ransom to regain control, although this has not been confirmed.Political or Social MotivationsDDoS attacks can also be motivated by political or social causes. In these scenarios, attackers use DDoS attacks as a form of digital protest to bring attention to an issue they care about. They may be driven by a sense of idealism or a desire to fight for what they believe is right. DDoS attacks and their disruptive nature serve as a tool to bring attention to important issues that would otherwise be ignored.In 2022, the small nation of Andorra experienced an internet blackout. This outage was caused by a hacktivist-launched DDoS attack and targeted the country’s only internet service provider (ISP). Intriguingly, the attack coincided with a Minecraft tournament themed around the popular series “Squid Game” on Twitch, which had several participants from Andorra. The hacktivists didn’t want Andorrans to play—and they succeeded in their malicious goal. The attack’s outcome was that many players located in Andorra had to withdraw from the tournament due to internet disruptions.RevengeRevenge is another common motivator for DDoS attacks, targeting individuals, businesses, and even government organizations. In these scenarios, attackers use DDoS attacks to inflict harm on a perceived enemy in retaliation for a real or imagined wrong. The desire for revenge can be a powerful motivator, and attackers may view DDoS attacks as a way to strike back anonymously and cause significant disruption.The impersonal nature of DDoS attacks can be particularly appealing to those seeking revenge. Unlike physical vandalism, they allow attackers to cause disruption without directly confronting their target face-to-face. This can be seen in cases where disgruntled employees have launched DDoS attacks against their former employers.In an interesting turn of events, the LockBit ransomware group, notorious for its cyber exploits, found itself on the receiving end of a DDoS attack in August 2021. Previously, LockBit had attacked Entrust, a US data security firm, stealing valuable data and demanding a ransom to prevent its public release. In retaliation, Entrust launched a large-scale DDoS attack targeted at LockBit’s Tor leak sites, the platforms where stolen data is typically exposed. This effectively disabled the sites, preventing the stolen data’s potential exposure.HypercompetitionThe business world is ferocious. While many companies compete solely within the realm of legitimate marketing tactics, some individuals and organizations resort to DDoS attacks to gain an unfair edge over their rivals. Their motivation stems from an inherent desire to outperform competitors in the marketplace. By disrupting a competitor’s online presence and hindering their operations, attackers hope to steal potential customers and ultimately secure a larger market share for themselves. As such, DDoS attacks launched for competitive reasons are often timed strategically, targeting periods of peak user activity like sales periods or daily peak gaming sessions to inflict maximum damage and cause significant inconvenience.The e-commerce industry, with its vast online communities and fierce rivalries, is a key arena for competition-driven DDoS attacks. Competitors may orchestrate DDoS attacks against an online retailer’s servers to disrupt their operations and cause downtime. This disruption frustrates existing customers and deters potential new shoppers from joining the targeted server. By tarnishing the reputation of the competitor and hindering their ability to deliver a smooth buying experience, attackers hope to poach customers and attract them to their own servers.Attention Seeking Gone WildThe desire for attention can also be a driving force behind DDoS attacks. This motivation is often linked to youthful boundary-stretching or a desire to prove oneself. The latter occurred in the case of the Dark Frost Botnet; the attacker was seen bragging about his escapades online. These attacks are sometimes fueled by a sense of mischief or a desire to disrupt for entertainment purposes. Many attackers are talented, bored, and have time and untapped potential on their hands. As such, aspiring hackers might target an organization’s servers as a way to demonstrate their technical skills or gain notoriety within the hacking community.Here, the distinction between wild or playful and ethical hacking comes into play. Black hat attackers exploit DDoS attacks simply for attention or entertainment. But others—white hat hackers—use their skills ethically and legally to strengthen system security by identifying vulnerabilities with permission. Meanwhile, gray hat hackers, who occupy a middle ground, may also seek to improve security by uncovering flaws without explicit permission and subsequently informing the system owners, aiming for a more positive outcome despite their methods being technically illegal. Neither group has malicious intent but focuses instead on enhancing cyber safety in their unique ways.CyberterrorismNation states or highly organized groups may orchestrate large-scale DDoS attacks against critical infrastructure, aiming to cripple an enemy nation’s digital backbone and cause widespread disruption, such as in the case of the DDoS attacks against Luxembourg municipal websites in 2024. These efforts are often meticulously planned and highly sophisticated, often using a combination of tactics that make the DDoS attacks difficult to detect and even harder to defend against.DDoS attacks that are motivated by cyberterrorism can be rooted in retaliation for a perceived slight or act of aggression. They can be used as a smokescreen to distract security personnel while attackers infiltrate a target network and steal sensitive data. They can also be launched to create a sense of chaos and instability within a targeted nation by taking down essential services like power grids, financial institutions, or communication networks.These attacks can have real-world ramifications far beyond those of a DDoS attack against a company or game. Hospitals can lose access to patient records during a DDoS attack, and financial markets can grind to a halt. Recently, DDoS attacks have supplemented ground invasions in war zones. In the most extreme scenarios, cyberterror attacks can contribute to, or could even spark, real-world conflicts.How DDoS Attackers OperateWhile exact routines may differ based on the perpetrator’s available resources and goals, all attacks follow a similar three-stage pattern.Preparation phase 1.1. Building a botnet: At the core of many DDoS attacks lies a botnet, a network of compromised devices secretly controlled by the attacker. These devices, often personal computers or IoT devices infected with malware, can be recruited through phishing campaigns or by exploiting software vulnerabilities. 1.2. Target identification: Attackers determine the target, which could be a specific server, website, or network. They assess the target’s vulnerability and the potential impact of the attack. 1.3. Resource mobilization: Attackers amass resources, such as a network of compromised devices (botnet), to launch the attack. This involves infecting multiple devices with malware to control them remotely. 1.4. Attack planning: This involves choosing the type of DDoS attack, timing, and duration. Attackers plan their approach based on the target’s weaknesses and desired impact.Execution phase 2.1. Initial exploitation: The attacker or botnet initiates the attack by sending excessive requests to the target’s IP address, overwhelming the server or network. 2.2. Amplification and reflection: Some attacks exploit the amplification factor of certain protocols, sending small requests to third-party servers that then send large amounts of data to the target.Monitoring and adaptation 3.1. Attack monitoring: The attacker closely monitors the attack’s effectiveness, adjusting tactics if necessary to bypass any implemented defenses. 3.2. Maintaining anonymity: Attackers often leverage anonymization techniques like Tor to mask their location and identity. 3.3. Sustaining the attack: The attack is maintained to cause prolonged disruption. This might involve adapting to the target’s defensive measures and varying the attack vectors.What Can Businesses Learn from These Attacks?Understanding the motivations and methods behind DDoS attacks empowers and motivates businesses to take proactive measures and safeguard their online presence. However, the root causes of DDoS attacks—like market competition and geopolitical unrest—are beyond a company’s influence.The high cost of DDoS attacks extends far beyond the immediate financial losses. Unprotected companies can incur significant expenses due to:Lost income during downtimeDetection and recovery effortsLegal feesReputational damageCustomer churnUnprotected businesses hemorrhage an average of $6,000 per minute during a DDoS attack. When you factor in the broader impact, a single 20-minute attack can easily escalate into losses exceeding $120,000. Reputational damage and customer loss can have long-lasting consequences that are difficult to quantify.The only way to mitigate the disastrous consequences of DDoS attacks is proactively to adopt a comprehensive protection strategy, such as Gcore DDoS Protection.Thwart Attackers with Gcore DDoS ProtectionGcore’s global network of scrubbing centers is designed to ensure that your business continues to operate smoothly during a DDoS attack, without delays or performance degradation. Your customers won’t notice any difference in functionality even during an active attack. These centers are well-equipped with backup copies of essential systems and network equipment, demonstrating the company’s commitment to providing uninterrupted service and security.Gcore DDoS Protection offers businesses the following benefits:Robust infrastructure: Vast distributed network of scrubbing centers with over 1 Tbps filtering capacity.Proprietary DDoS protection solution: Tailored specifically to ward off a broad spectrum of DDoS threats.Detection of low-frequency attacks from the first query: Even the most subtle attacks are detected.Exceptionally low false-positive rate (less than 0.01%): Maintains normal operations by accurately distinguishing between legitimate traffic and attack vectors.Real-time statistics in the control panel: Offers immediate insights into traffic patterns and potential threats, allowing for swift action.Server protection in your data center: Extends Gcore’s protective measures directly to your infrastructure through a Generic Routing Encapsulation (GRE) tunneling protocol, regardless of location.24/7, highly qualified technical support: Ensures that expert help is always on hand, day or night, to address any concerns or attacks.Exceptional uptime rate with 99.99% SLA: A seamless and uninterrupted user experience backed up by Tier III and IV data centers.ConclusionWhile understanding attackers’ mindsets can uncover some of the mysteriousness behind cybercrime, it also shows that DDoS attackers can only be stopped through an effective DDoS mitigation strategy. Partnering with a specialized DDoS protection service ensures that your network is fortified with the latest security measures, providing a strong defense that keeps your operations secure and uninterrupted.Experience the peace of mind that comes with advanced protection with Gcore DDoS Protection for comprehensive security against DDoS attacks. With over 1 Tbps of total filtering capacity and a 99.99% SLA, your digital assets remain protected from even the most complex, sophisticated, and sustained attacks. Gcore helps to maintain the continuity of your online services, regardless of potential attackers’ motivations.Discover Gcore DDoS Protection

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