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What Is a Man-in-the-Middle (MITM) Attack? | How to Prevent a MITM Attack

  • By Gcore
  • June 6, 2023
  • 9 min read
What Is a Man-in-the-Middle (MITM) Attack? | How to Prevent a MITM Attack

A Man-in-the-Middle (MITM) attack is a form of cyber attack which threatens data and information security. It occurs when an unauthorized person—a cybercriminal—positions themselves as a conduit between two parties to monitor interactions, steal sensitive information, and manipulate transactions. For example, they can steal trade secrets, compromise financial records, or embed malware on the company’s servers. In this article, we will explain everything you need to know about MITM attacks and outline practical prevention measures that you can take.

What Is a Man-in-the-Middle (MITM) Attack?

A Man-in-the-Middle attack occurs when a cybercriminal intercepts the network between two parties to eavesdrop, spy, or steal sensitive information. The attacker can also manipulate the personality of either party by injecting new data into the communication.

MITM attacks exploit vulnerabilities like weak encryption, insecure public Wi-Fi networks, and unverified website certificates. Let’s find out how.

How Do MITM Attacks Happen?

Usually, MITM attacks comprise two steps. The details depend on the attacker’s objectives and the nature of the communication between the two parties, but there are some broad activities that characterize MITM attacks.

Step 1: Interception

During interception, an attacker first gathers information about the target network or the communication channels through reconnaissance. Reconnaissance tools—such as network scanners—discover potential entry points and vulnerabilities.

Next, the attacker uses methods such as spoofing (see the next section for more methods) to intercept the communication between the two parties and hijack the traffic before it reaches its destination. Attackers then capture and read the content of the exchanged messages.

Step 2: Decryption

If the intercepted network is encrypted, the attacker uses decryption methods such as RSA to capture the messages in the original plaintext. Decryption is only possible if the encryption techniques employed by both parties in the network are weak. After decryption, the attacker modifies and manipulates the content, often by injecting malware or requesting sensitive information in the guise of a legitimate party.

After achieving their objectives, the attacker covers their tracks by returning the communication channel to the original state.

What Methods Do MITM Attacks Use?

During the interception phase, man in the middle attackers use various methods to intercept the communication between the two parties and hijack the traffic before it reaches its destination. Let’s look at the seven most common methods attackers employ to execute MITM attacks.

Phishing

In phishing, attackers use malicious links, emails, or websites to trick either party into revealing sensitive information, such as login credentials or credit card information. Attackers often create fake login pages that appear genuine and ask either party to input credentials that are captured immediately.

Example: An attacker disguises themselves as a bank and sends a professionally written email requesting that a user logs into the bank’s website to verify certain details. The user clicks the link in the email and inputs their banking credentials, but the page never loads. The user considers it a network glitch, but the attacker has successfully captured the credentials and used them on the bank’s original website.

Session Hijacking

Attackers may intercept any of the two party’s login sessions into the network by sniffing valid session cookies or tokens.

Example: Cookies and tokens are confidential details sent by the networks to a user’s browser during login. In this method, the attacker sniffs the token and uses it as a ticket into the network even after the original user has gained access.

Spoofing

Spoofing occurs when attackers disguise themselves as another person or source of information. Spoofing can be executed through four major channels: ARP, IP, DNS, and HTTPS.

ARP spoofingAddress Resolution Protocol (ARP) spoofing is a method where an attacker spoofs network ARP tables to redirect traffic to their device instead of the intended recipient. The attacker forges fake ARP requests/replies to targets. The victims update their ARP cache with the attacker’s MAC address instead of the genuine target’s. This causes the traffic between the targets to split, with one part going from the first party to the attacker, and the other going from the second party to the attacker.
IP spoofingHere, the attacker manipulates the Internet Protocol (IP) address of the systems in a network by altering the packet headers of the applications in the network. Once either party initializes the application, all information is routed to the attacker.
DNS spoofingWith Domain Name System (DNS) spoofing, attackers redirect the traffic to a fake website or a phishing page. This is achieved by modifying the victim’s DNS cache so that the domain name resolves to a fake IP address controlled by the attacker, leading the victim to the attacker’s fake website.
HTTPS spoofingHyperText Transfer Protocol Secure (HTTPS) is the foundation of communication on the web. In HTTPS spoofing, an attacker sends a certificate to their target’s browser after the victim initially requests to secure the site. The phony certificate holds a digital thumbprint of the compromised browser or application. The browser then verifies the thumbprint using a list of recognized trusted sites. When the victim visits the website or transmits data via the browser, the attacker intercepts the desired information before it reaches its intended destination.

Wi-Fi Eavesdropping

Attackers can carry out MITM attacks by intercepting or forging the credentials of genuine Wi-Fi access points, luring unknowing users to connect to their fake Wi-Fi hotspots. Threat actors can intercept website connections and acquire unencrypted sensitive information through such an attack.

Example: The attacker places a Wi-Fi hotspot near McDonald’s. The point is called “McDonald’s” and does not have a password. Thinking it’s the restaurant’s Wi-Fi, users connect to it and access the internet through it. The attacker gains access to all sent and received data.

SSL Hijacking

Secure Sockets Layers (SSL) encrypt the connection between a browser and a web server. In Secure Sockets Layers (SSL) hijacking, the attacker intercepts the SSL/TLS traffic between the sender and receiver’s device and impersonates a server. The attacker forces a downgraded SSL connection, steals the SSL certificate and key, and mimics the genuine website, making the victim believe they are interacting with a genuine server.

The attacker can then decrypt the intercepted SSL/TLS traffic, giving them full access to the data exchanged between the user and the server. This may include sensitive information like login credentials, credit card details, or personal information, which they can misuse for malicious purposes.

SSL BEAST

SSL Browser Exploit Against SSL/TLS (BEAST) targets a specific Transport Layer Security (TLS) vulnerability in SSL. The attacker infects their target’s computer with malicious JavaScript to seize encrypted cookies sent by a web application. The application’s cipher block chaining (CBC) is then compromised so the attacker can decrypt its cookies and authentication tokens. Then, the attacker can impersonate the victim and gain access to their web application accounts. As a result, they can cause harm to the victim by stealing sensitive information or performing fraudulent transactions.

SSL Stripping

This man in the middle method intercepts the TLS authentication sent from an application to a user and downgrades an HTTPS connection to HTTP. The attacker sends the user an unencrypted version of the application’s site. Even when the victim maintains a secure session within the application, the session is visible to the hacker, meaning that sensitive information like passwords or financial data are exposed.

Example: example.com, an HTTPS-enabled website, typically sends a secure TLS authentication to each browser. But in this instance, the attacker intercepts this TLS authentication sent by example.com to the user’s browser, removes the extra layer of security that HTTPS enables, and routes the unsecured version to the user’s browser. This exposes the user to exploitation and theft.

Have MITM Attacks Happened Before? What Are Some Examples of MITM Attacks?

Yes, there have been several notable MITM attacks. Let’s review some of the most potent and infamous instances:

FirmImpact
DarkHotel (2017)DarkHotel is a group specializing in hacking hotel guests. In 2017, they used MITM attacks to steal sensitive data from business travelers staying in luxury hotels.
The Superfish scandal (2015)This scandal occurred in 2015 when Lenovo laptops were shipped with adware that exposed personal information—such as login credentials—to phishing attacks using MITM methods.
Hacking Team (2015)Italian cybersecurity company Hacking Team sells surveillance and intrusion software to governments and law enforcement agencies worldwide. In 2015, they experienced a data breach whereby attackers utilized a MITM attack to grab the two-factor authentication code of an employee, which gave them access to the organization’s servers and sensitive company information.
The Jackpotting attack (2014)In this 2014 attack, cybercriminals used insecure Wi-Fi connections to conduct MITM attacks on ATMs. They targeted the network infrastructures of ATMs and infected them with malware, allowing them to hijack the machines, intercept card data and dispense cash illegally. This attack resulted in the theft of millions of dollars from banks.
Target Corporation (2013)In 2013, Target Corporation experienced a massive data breach that affected over 110 million customers. Attackers used a variant of a MITM attack known as RAM scraping to steal sensitive information, such as credit card data, during transactions at point-of-sale (POS) systems.
The 2015 GBP 333,000 attackIn 2015, Paul and Ann Lupton’s email exchange with their real estate solicitor was intercepted by cybercriminals. The cybercriminals requested the Luptons’ bank accounts for the transfer of funds from a home sale. The solicitor sent the funds worth just over GBP 330,000 to the criminals’ accounts. It took a few days before either party discovered that there had been a breach.

Can MITM attacks be prevented?

Yes, MITM can be prevented in many instances. Facebook and Apple offer case studies of organizations that successfully mitigated MITM attacks, and the preventative techniques they used afterwards to strengthen protection against MITM attacks.

The fact that tech giants suffer from MITM attacks shows that MITM attacks can happen to anyone—and the techniques they used can be applied by businesses of all types and sizes.

Facebook

In 2011, researchers uncovered a vulnerability in Facebook’s SSL/TLS implementation, which could have allowed attackers to conduct a MITM attack on Facebook users. Facebook implemented “forward secrecy” technology to prevent such attacks for all SSL/TLS connections. This means that if an attacker successfully intercepts the SSL/TLS session, previous user interactions can not be decrypted.

As a result of discovering this weakness, Facebook additionally implemented a domain name system security extension (DNSSEC,) which prevents DNS tampering and spoofing. They also employed Secure Hash Algorithm 2 (SHA-256) to secure their SSL/TLS certificates.

Apple

In 2014, Apple faced potential man in the middle attacks on iOS devices due to a critical security flaw within the app’s API. To prevent such attacks, Apple released patches for its iOS devices. The patches introduced features such as Application Transport Security (ATS,) which ensures that an app connected to the internet or a local network must use secure communication protocols (HTTPS) to protect communication between a server and an app.

Apple devices also feature Wi-Fi Assist to secure Wi-Fi network communications and prevent MITM attacks. This feature automatically switches off connection to unsecured networks and switches to cellular networks when Wi-Fi reliability is poor.

7 Best Practices to Prevent MITM Attacks

If tech royalty can get tangled up in a mess of MITM attacks, then every single organization must use preventive best practices to ensure they steer clear of this danger. These best practices aren’t foolproof, but they’ll give you a serious head start to deter attacks before they start and make a successful attack less likely. Here are eight best practices you can immediately implement.

1. Encrypt your Network and Channels

Encryption involves encoding data into a code that only the sender and the receiver can access. In this age of remote work, it is important to use encrypted Wi-Fi networks and ensure that your online transactions are HTTPS-enabled. Encrypting both the data and the communication channel offers superior protection. You can encrypt data both in transit (i.e., data transferred from one device to another) or at rest (i.e., data stored on devices.) Both forms of encryption are possible using SSL and TLS.

Weak encryptions can still be decrypted by attackers, as mentioned earlier. This makes strong encryption all the more important for avoiding and preventing MITM attacks.

2. Use Strong Authentication Protocols

Use strong authentication protocols such as Multi-factor authentication (MFA) that are difficult to bypass and require the provision of two or more proofs of authenticity. If hackers intercept credentials such as usernames and passwords, they cannot gain access without the second authentication factor, which may comprise biometric data, smart cards, or hardware tokens.

Token-based authentication is another MFA solution you should consider. By utilizing a unique device that generates a temporary passcode, both parties in the network are granted access to sensitive data and network systems.

3. Use VPNs

Virtual private networks (VPNs) provide a secure tunnel between a user’s device and the internet, making it difficult for attackers to intercept data. By encrypting the data in transit, attackers cannot read the contents of the data even if they intercept it.

4. Install Intrusion Detection/Prevention Systems (IDS/IPS)

IDS and IPS monitor network traffic and alert administrators when there is abnormal activity, such as attempts to hijack your network’s traffic. Intrusion prevention systems can also prevent attacks by blocking malicious traffic or applying mitigation measures.

5. Undertake Regular Network Security Audits

Regular network security audits can help identify potential MITM vulnerabilities early and assist organizations in taking proactive measures to address them. SSL/TLS certificates protect emails in transit, and PGP/GPG encryption protects them at rest.

Additionally, setting segmentation policies—such as endpoint micro segmentation—is important, because it moves users into a protected environment, isolating them from the local network. Some segmentation policies operate as a bidirectional firewall to prevent data leakage and maintain secure traffic within the network gateway.

6. Update and Patch Software

Separate sensitive data from other data located in hybrid storage. Implement efficient patch management by regularly updating the software and antivirus security systems, promptly applying software patches on all devices, and scheduling auditing and monitoring to alert you about normal and unusual activities within your network. Efficient patch management also entails revisiting and upgrading your firewalls as your data volumes grow.

7. Offer Employees Security Awareness and Training

One of the most common methods of man in the middle attacks is phishing. With this method, attackers trick individual employees into divulging login credentials or installing malware on their devices. According to IBM’s 2022 Cost of Data Breach Report, phishing was the second most common cause of a breach, accounting for 16% of cases. It was also the costliest, averaging USD $4.91 million in breach costs.

Employees must therefore be trained to avoid clicking on suspicious links and emails. Organizations should also warn their staff from using public Wi-Fi networks for their job as part of security training.

8. Use a Third-Party Protection Solution

Your in-house cybersecurity tools may also be prone to MITM attacks orchestrated through social engineering methods like phishing. Adding an extra layer of protection by employing third-party services like Gcore boosts protection from MITM attacks.

However, not all solutions out there are efficient. Search for reviews and feedback from other customers; make sure whatever solution you employ has been in business for a while and uses next-generation technology like ML-enabled data encryption. Finally, ensure that the solution has a responsive customer support team and a service-level agreement (SLA) that defines the quality of service you can expect.

Gcore Tools Help Prevent Man-in-the-Middle (MITM) Attacks

Gcore is a trusted security solutions provider with products that can help prevent all methods employed in Man-in-the Middle (MITM) attacks. We offer distributed denial of service (DDoS) protection, and DNS and web application security for business.

Conclusion

A Man-in-the-Middle (MITM) attack is a sophisticated and common cyber-attack that can adversely impact the security of individuals and organizations. Preventing MITM attacks requires an understanding of the attack process and implementation of comprehensive security measures. A reliable third-party, like Gcore, can provide robust protection against MITM attacks. Get a free consultation with our security expert to learn more.

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The CDN then takes over, encrypting and serving the content to all users, speeding up the process and reducing the load on your server.Figure 1: Comparison of how content is served with TLS on the web server (left) vs on CDN (right)Benefits of “Offloading” TLS to a CDNOffloading TLS to a CDN can improve your infrastructure with improved performance, better caching, and simplified TLS management.Increased PerformanceWhen establishing a TLS connection, the client and server must exchange information to negotiate a session key. This exchange involves four messages being sent over the network, as shown in Figure 2. The higher the latency between the two participants, the longer it takes to establish the connection. CDN nodes are typically closer to the client, resulting in lower latency and faster connection establishment.As mentioned above, CDN nodes handle all the encryption tasks. This frees up your server’s resources for other tasks and allows you to simplify its code base.Figure 2: TLS handshakeImproved CachingIf your data is encrypted, the CDN can’t cache it. A single file will look different from the CDN nodes for every new TLS connection, eliminating the CDN benefits (Figure 3). If the CDN holds the certificates, it can negotiate encryption with the clients and collect the files from your server in plaintext. This allows the CDN to cache the content efficiently and serve it faster to users.Figure 3: TLS and CDN caching comparedSimplified TLS ManagementThe CDN takes care of maintenance tasks such as certificate issuing, rotation, and auto-renewal. With the CDN managing TLS, your server’s code base can be simplified, and you no longer need to worry about potential TLS updates in the future.TLS Encryption with Gcore CDNWith the Gcore CDN we don’t just take care of your TLS encryption, but also file compression and DNS lookups. This way, you can unburden your servers from non-functional requirements, which leads to smaller, easier-to-maintain code bases, lower CPU, memory, and traffic impact, and a lower workload for the teams managing those servers.Gcore CDN offers two TLS offloading options:Free Let’s Encrypt certificates with automatic validation, an effective and efficient choice for simple security needsPaid custom certificates, ideal if your TLS setup has more complex requirementsHow to Enable HTTPS with a Free Let’s Encrypt CertificateSetting up HTTPS for your website is quick, easy, and free. First, make sure you have a Gcore CDN resource for your website. If you haven’t created one yet, you can do so in the Gcore Customer Portal by clicking Create CDN resource in the top-right of the window (Figure 4) and following the setup wizard. You’ll be asked to update your DNS records so they point to the Gcore CDN, allowing Gcore to issue the certificates later.Figure 4: Create CDN resourceNext, open the resource settings by selecting your CDN resource from the list in the center (Figure 5).Figure 5: Select the CDN resourceEnable HTTPS in the resource settings, as shown in Figure 6:Select SSL in the left navigationClick the Enable HTTPS checkboxClick Get SSL certificateFigure 6: Get an SSL certificateYour certificate will usually be issued within 30 minutes.Our Commitment to Online SecurityAt Gcore, we’re committed to making the internet secure for everyone. As part of this mission, we offer free CDN and free TLS certificates. Take advantage and protect your resources efficiently for free!Get TLS encryption on Gcore CDN free

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 TechniquesOver 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 SystemsFigure 1: How a basic intrusion detection system worksIntrusion 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.HoneynetFirst 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 setupAs 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 DetectionFigure 3: DNS-based botnet detectionAround 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 TechniquesHere’s how these three botnet detection techniques compare.FeatureIntrusion Detection Systems (IDS)HoneynetDNS-Based Botnet DetectionDefinitionNetwork 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 activityDetection focusNetwork traffic, system logs, and application activityCyberattackers’ behavior and tacticsDNS traffic patterns, requests, and responsesDetection methodsSignature-based, anomaly-based, machine learningDeception through vulnerabilitiesDomain reputation checks, anomaly detectionData collectedNetwork traffic, system logs, application activityAttack interactions with honeypotsDNS traffic, requests, responsesAlerting and responseGenerates alerts, blocks traffic, isolates systemsStudies attacks, handles malicious interactionsBlocks connections, redirects to sinkholes, alertsUse casesPrevents unauthorized access, breaches, policy violationsStudies attack tactics, gathers threat intelligenceReal-time botnet detection, low false positivesComplexityVaries based on IDS type (NIDS, HIDS, hybrid, multi-layered)Moderate to high due to setup and maintenanceModerate, relies on DNS traffic analysisEffectivenessEffective for detecting network-based threatsEffective for studying attacks, gathering threat intelEffective for real-time botnet detectionLimitationsCan be bypassed by sophisticated attacksSetup complexity, limited network coverageProne to evasion techniques, reliance on external dataDeploymentNetwork-wide, host-based, hybrid, multi-layeredControlled environment, production networksDNS infrastructure monitoringPopularityWidely used in cybersecurityLess common due to complexityIncreasing popularityFuture evolutionEvolving to integrate AI, threat intelligenceEvolving to address evasion techniquesEvolving to handle DNS tunnelingManagement overheadVaried based on IDS type and deploymentHigh for setup, maintenance, and monitoringModerate for DNS traffic analysisHow to Stop BotnetsNow 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/CAPTCHAOne 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: CAPTCHAGcore 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 LimitingFigure 5: Rate LimitingA 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 WAAPWhile 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.ConclusionDetecting 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

What Is TCP DDoS Protection? | How Does It Work?

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

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