How to detect bots and shield your digital accounts
The Internet is quickly becoming a battlefield between humans and bots. Today, many bots scavenge through the Internet, mimicking human behavior. They are capable of engaging in complex interactions, spreading misinformation, and even perpetrating fraud.
Data shows that in 2023 alone, 49.6% of all Internet traffic came from bots. This was the highest level recorded since Imperva began monitoring automated traffic in 2013.
That’s a big deal. This article shows you how to spot bots online, keep your accounts safe from them, and deal with the growing number of bots on the Internet.
The increase in sophisticated bots
Unlike their basic predecessors, sophisticated bots are designed to mimic human behavior with high precision, making them much harder to detect and combat.
These advanced bots can perform tasks such as viewing ads, clicking on links, and filling out forms, often for fraudulent purposes. In many cases, they are typically installed on devices through malware and can operate undetected in the background, blending seamlessly with legitimate user activity.
One key advancement in sophisticated bots is their ability to evade traditional detection methods. Early bots were relatively easy to spot due to their repetitive and mechanical behavior, such as repeatedly accessing a website from a single IP address.
Advanced capabilities
Modern bots use a variety of techniques to mask their presence. They can rotate through different IP addresses, use residential proxies, and even simulate human actions like mouse movements and keystrokes. This makes them capable of bypassing security measures such as CAPTCHA challenges and other bot detection systems.
Bad bots are particularly focused on attacking APIs, exploiting them to conduct activities like account takeovers, which have risen significantly. These attacks target the business logic of applications and APIs, manipulating them to gain unauthorized access or steal sensitive data. The industries most affected by these sophisticated bots include Financial Services, Healthcare, and Gaming, with these sectors experiencing the highest volume of bot traffic.
The effects of bots on digital ecosystems
One of the primary risks presented by the increase in bot activity is the distortion of online interactions and data. Bots can artificially inflate engagement metrics, such as views, likes, or followers, creating a false sense of popularity or credibility.
This manipulation not only skews analytics but also undermines the authenticity of online discourse. For businesses relying on these metrics to gauge performance or make decisions, bot activity can lead to misguided strategies and resource allocation.
Security breaches represent another major concern. Malicious bots are often employed in cyberattacks, including distributed denial-of-service (DDoS) attacks, which can overwhelm and crash websites or services.
They’re also used for credential stuffing, where bots attempt to gain unauthorized access to your entire user management system using stolen login information. These security threats not only disrupt services but also compromise user data, leading to potential financial losses and reputational damage for organizations.
Diminishing user trust
The impact of bots on user trust is a significant concern. As users become aware of the prevalence of bots, they may grow skeptical of the content they encounter online. This erosion of trust can extend to legitimate businesses and platforms, making it harder for them to engage authentically with their audience.
Users may question the validity of reviews, comments, or even the popularity of products and services, leading to a general atmosphere of suspicion in digital spaces.
Additionally, bots can significantly impact the user experience. They can flood platforms with spam, irrelevant content, or malicious links, making it difficult for users to find valuable information or engage in meaningful interactions. This degradation of user experience can lead to decreased engagement and, ultimately, user abandonment of platforms.
How to detect bot activity
Check for sudden, unexplained patterns. Unexpected increases in traffic can indicate bot activity. For example, a website might experience a surge in page views from a single IP address or a specific geographic location that doesn’t align with typical user behavior.
Also, monitor for sudden increases in browsing rate. Bots often browse at speeds that are either too fast or too slow compared to human users. Monitoring the rate at which pages are accessed can help identify these anomalies.
Extremely short or long session durations can also be a red flag. Bots might either complete tasks too quickly or stay on a site for an unusually long time without meaningful interaction.
Behavioral analysis
Mouse movements and keystroke patterns can also be a good indication of bot activity. Human users exhibit natural variability in their interactions, such as mouse movements and typing patterns. Bots, however, often have more predictable and consistent behaviors.
Also, analyzing the sequence and timing of page visits can reveal bot activity. For instance, bots might follow a repetitive pattern that doesn’t match typical user navigation.
Server log monitoring
The use of cloud automation has simplified operations for bot farm owners, providing them with ready-made services that bypass the complexities of setting up and managing bots.
However, you can easily identify bot activity by checking for unusual access patterns, such as repeated attempts to access hidden pages or admin areas. Additionally, monitoring for performance issues, such as slow response times or increased server load, can help identify bot-based DDoS attacks.
Strategies for protecting your digital accounts against bots
Protecting your digital accounts from bots involves a combination of advanced tools and strategies designed to detect and block malicious bot activity while maintaining a smooth user experience for legitimate users.
Web Application Firewalls (WAFs) act as a shield between web applications and the Internet. They filter and monitor all HTTP traffic. They can be configured with rules to detect and block common bot attack patterns, such as SQL injection attempts or cross-site scripting.
Plus, modern WAFs use machine learning to adapt to new threats and can distinguish between good bots (like search engine crawlers) and malicious ones. This means that WAFs can identify and mitigate bot attacks in real time by analyzing traffic patterns and user behaviors.
They also offer features like IP reputation checking and geolocation-based filtering, providing comprehensive protection against various types of bot threats.
Educate users and implement strong password policies
User education and strong password policies form a critical line of defense against bot attacks. Educating users about the risks of password reuse, the importance of strong, unique passwords, and how to identify phishing attempts can significantly reduce the success rate of bot attacks.
Implementing strict password policies, such as requiring complex passwords, mandatory use of password managers, regular password changes, and prohibiting password reuse across multiple accounts. This makes it more difficult for bots to gain unauthorized access.
Implement rate limiting and request throttling
Rate limiting and request throttling restrict the number of requests a user or IP address can make within a specific timeframe, preventing bots from overwhelming systems with rapid-fire requests. This technique is effective against brute force attacks, credential stuffing, and denial of service attempts.
Setting appropriate thresholds allows businesses to accommodate normal user activity while blocking or flagging suspicious high-volume requests. This approach provides an added layer of protection, ensuring security without adversely affecting the experience of legitimate users.
Require proof of work
Proof of Work (PoW) challenges require users to solve computational puzzles before accessing a service, significantly increasing the cost for bots to perform automated tasks. This method, commonly used in blockchain technology, forces bots to expend considerable computing resources, making large-scale attacks economically unfeasible.
Implementing PoW can effectively deter bots from spamming, scraping, or performing denial-of-service attacks, as the increased computational effort and time delay make such activities less attractive to attackers.
Protect against a bot invasion
Bots are here to stay, and they’re getting smarter and more common every day. But this doesn’t mean we’re helpless. We simply need to stay alert and use the right tools to have real, meaningful interactions online.
Remember, the Internet is what we make of it. When we learn to spot bots and protect our accounts, we’re not just defending ourselves. We’re helping to keep the Internet a place for real human connection.
