Ever heard of a DDoS attack? It is a Distributed Denial-of-Service attack, and it aims to knock your website offline by flooding it with traffic. That flood often comes from bot attacks, meaning automated requests sent by software instead of real people.
Bots are not always bad. Search engines use bots to crawl your site. Many businesses use bots to handle routine tasks. The problem is that the same automation can be used to spam you, scrape your content, or steal money.
No website, app, or API is “too small” to be targeted. If you collect emails, accept payments, publish content, or run ads, you are a candidate. This guide breaks down what bot attacks are, the most common types, the damage they cause, and what you can do to prevent them.
What Is a Bot Attack?
A bot, short for “robot,” is a program that runs tasks automatically. In security, a bot attack is when that automation is used to harm a website, application, or API.
Bot attacks usually look like normal traffic at first. Requests arrive through browsers, forms, and endpoints. The difference is intent and scale: the goal is to abuse your system, and it can happen thousands of times per minute.
Many attacks are powered by botnets. A botnet is a network of compromised devices controlled by an attacker. Those devices send coordinated requests so the traffic looks distributed, which makes blocking harder.
A well-known example is the Mirai botnet. (The Mirai name is still worth knowing, even if you have never dealt with an IoT botnet before.) Mirai showed how a small group of people could disrupt major internet services by controlling many infected devices at once.
How Bot Attacks Are Built (and Why)
Malicious bots come in a lot of shapes: simple scripts, browser automation, headless browsers, or malware running on infected machines. The “why” is usually one of three things: money, access, or disruption.
On the web, attackers often combine a headless browser (like Chromium) with an automation library (like Playwright or Puppeteer). That setup can fill forms, rotate user agents, move like a human, and bypass basic filters.
Botnets often start with a malware infection. A trojan, bad download, or compromised device becomes a “node” in the botnet. The owner usually has no idea.
Attackers also exploit known vulnerabilities in software and hosting setups. Once they find a weak point, they can plant code, capture credentials, or use your infrastructure as part of a larger botnet.
5 Types of Bot Attacks Newsletter Operators Must Recognize
Bots can do almost anything a person can do on a website. That is why the best defense starts with naming the behaviors you need to stop. Here are five attack types we see most often.
Spammers
Spam bots post junk in forms, comments, and email signups. The goal might be backlinks, phishing, malware delivery, or simply making your system unusable.
For newsletter operators, spam signups are a quiet problem that turns into a big one. They hurt list quality, increase costs, and can damage sender reputation if you keep mailing dead or risky addresses.
Scrapers
Search engines crawl content for indexing. Scrapers do something similar, but for their own gain. They copy your articles, product info, pricing, or images, then republish or resell it.
Scraping can also be used for competitive monitoring, price undercutting, and data harvesting. It can raise bandwidth bills and distort analytics, and it can create duplicate content problems if your work is republished at scale.
Fraudsters
Fraud bots target anything tied to money: PPC ads, affiliate programs, coupon abuse, account takeovers, gift cards, and card testing. They also consume server resources while doing it.
If you accept payments, you will likely see fake orders and payment attempts. Even when you catch them, you still lose time on investigation, refunds, chargeback paperwork, and support tickets.
Disruptors
Disruption bots are built to cause downtime or slowdowns. DDoS is the classic example, but disruption can also mean hammering a login endpoint, an API, or a search feature until your app becomes unstable.
Sometimes the motive is ransom or competition. Sometimes it is just chaos. Either way, the result is the same: real customers cannot use your product.
Clicker Bots
Not every “bot click” is malicious. Many email security systems scan links in newsletters to protect users from phishing. Those scanners can click your links automatically, which inflates click-through rate (CTR) numbers.
If you sell newsletter sponsorships or make editorial decisions based on engagement, this matters. Your dashboard might say a link performed well when actual readers barely touched it.
Why Defending Against Bot Attacks Matters
Bot attacks are not only a downtime issue. They can hit revenue, trust, and decision-making. Even “low grade” abuse adds up over time.
Here are common outcomes when bot traffic is ignored:
- Manipulated data: Bots can skew signups, sessions, clicks, conversion rates, and attribution.
- Financial loss: Fraudulent purchases, ad spend waste, chargebacks, and higher infrastructure costs.
- Reputation damage: Spam, compromised accounts, and outages reduce trust quickly.
- Compliance risk: If bots contribute to a data leak or payment compromise, legal exposure increases.
- Operational disruption: Support teams and engineers get pulled into cleanup instead of shipping work.
Simple bot attacks often come from obvious scripts. They can be blocked with basic controls, like rate limits and form protections. More advanced attacks are harder because the bots rotate IPs, change fingerprints, and mimic human behavior.
That is why prevention needs layers. You want quick filters for obvious abuse, plus deeper monitoring for the attacks that try to blend in.
Preventing Bot Attacks
There is no single tool that stops every bot. Good protection is a set of technical controls, monitoring, and process.
- Use modern login and access controls: Enforce strong passwords, add two-factor authentication for admins, and limit who can access sensitive tools.
- Keep software updated: Patch your CMS, plugins, libraries, and server packages. Old vulnerabilities are still one of the easiest entry points.
- Put a web application firewall (WAF) in place: A WAF can block common abusive patterns and protect high-risk routes like login and checkout.
- Lock down sensitive areas: Protect admin URLs, restrict API scopes, and require auth where it is reasonable.
- Add rate limiting and request rules: Put caps on login attempts, form submissions, password resets, and key API endpoints.
- Watch traffic patterns: Alert on sudden spikes, unusual geographies, repeated requests, or high error rates.
- Train your team: Many bot campaigns start with phishing. Make it easy for staff to report suspicious messages and reset credentials quickly.
If you can only do one thing this week, set up monitoring and alerting for spikes in signups, checkout attempts, and login failures. Detection is what keeps “small” abuse from becoming an incident.
For many teams, the hardest part is not picking a tactic. It is keeping the basics running every week. That is why ongoing website maintenance and support matters, especially for WordPress sites and custom platforms that rely on frequent updates.
How We Deal With Bot Attacks at Refact
At Refact, we support sites with medium to large traffic, and we see bot attacks across industries. The right plan depends on your risk profile: what you collect, what you sell, and how expensive downtime is for you.
Two common issues we help with are spam subscriptions and fraudulent orders. Cleanup can be painful. Fake subscribers can clog a publisher’s stack and poison analytics. Fraud orders can create a huge support burden, especially when you need to cancel and refund quickly.
When we diagnose an incident, we focus on three things:
- Attack type: what behavior is happening (spam, scraping, fraud, disruption).
- Method: form posts, headless browser automation, API abuse, credential stuffing, or something else.
- Volume and timing: how fast it is happening, and whether it comes in waves.
An Example Case
Imagine you have a sign-up form integrated with Sailthru or another email service provider (ESP). Spam emails are signing up. Depending on the type and volume, you might see:
- The emails look valid. They have real inboxes and pass many email validation checks. Think of someone subscribing you to a newsletter without permission.
- Website protections like reCAPTCHA, honeypots, and fingerprinting are not catching the traffic.
- The bots rotate IPs, devices, and timing to avoid simple blocks.
In practice, we group defenses by the type of attack you are dealing with:
| Bot attack level | What it looks like | Typical response |
|---|---|---|
| Simple | Low volume, repeatable patterns, consistent source | Block at the edge, tighten form rules, add rate limits and logging |
| Mega | Medium volume, rotating sources, some requests get through | Add stronger detection, create custom rules, use third-party protections when needed |
| Complex | High volume, human-like behavior, changes fingerprints frequently | Multi-layer defense, deeper analytics, ongoing tuning, higher operating cost |
If the bot problem is tied to email infrastructure, migrations can also be part of the fix. In some cases, moving to a better-fitting platform, with safer form handling and cleaner automation, is worth it. We offer ESP migration support when teams need to move without losing subscriber data or deliverability.
How Clicking Bots Are Skewing Newsletter Analytics
Newsletter click rates are being skewed by bot clicks. Investigations have found cases where a large percentage of clicks were from automated security scanners, not humans. The exact impact varies by setup and audience, but even “small” bot percentages can mislead your reporting.
These bots are not trying to harm you. They are trying to protect inboxes from bad links. The side effect is that your CTR can look better than it really is.
Inflated click rates can change real decisions: sponsorship pricing, editorial direction, segmentation rules, and product bets. Open rates have similar issues, and Apple Mail Privacy Protection is one reason opens are less reliable than they used to be.
We have been exploring practical ways to separate human engagement from automated activity. If you run a newsletter, our guide on email deliverability best practices includes a case study that shows what cleanup can look like after bot-driven list growth.
Is There Still a Risk, Even With Protection in Place?
Yes. Attackers change tactics, and defenses age. No setup is perfect forever, especially when bots use machine learning to copy human browsing patterns.
That said, you can reduce risk a lot with a layered approach: basic protections, monitoring, and fast response. If you are seeing unusual spikes in traffic, signups, or purchases, it is worth investigating early.
At Refact, we help teams identify what is happening, fix the weak points, and put ongoing controls in place. If you want a second set of eyes, schedule an appointment and we will review what you are seeing and map out next steps.