Attack attempts scale because identity is cheap to test. A bot can try millions of logins, resets, and verification prompts across thousands of services. The attacker does not need to break into a data center. They need a working sign-in path.
Key idea: most "hacking attempts" are login attempts. Attackers reuse leaked passwords, run password-spraying campaigns, and phish people into approving access.
Immediate controls that make most attempts fail
- Stop password reuse: use a password manager and unique passwords for every account.
- Secure the control plane: protect your email inbox and phone number because they reset everything else.
- Use stronger sign-in methods: enable two-factor authentication (2FA) and prefer passkeys or security keys where available.
- Audit sessions: sign out unknown sessions and remove unknown devices and connected apps.
- Fix link hygiene: never authenticate through links in messages. Navigate to official domains yourself.
These controls are not advanced. They are simply aligned with the way attempts scale.
Why attempts scale (and why this is not going away)
There is no single "rise" to measure that explains everything. Scaling comes from incentives and automation. The cost of a login attempt approaches zero, but the payoff of the rare success can be high.
| Driver | What it enables | What changes outcomes |
|---|---|---|
| Automation | Millions of attempts with low marginal cost | Rate limits, bot detection, and account lock protections |
| Leaked credentials | Credential stuffing across many sites | Unique passwords and breached-password checks |
| Password spraying | Trying a few common passwords across many users | MFA, lockout tuning, and anomaly detection |
| Phishing | Users provide access or approve prompts | Verification habits, passkeys, and phishing-resistant MFA |
| Infostealers | Stolen sessions, cookies, saved passwords | Device integrity and session revocation |
What platforms can do well
Large platforms can detect many automated attacks. They can rate-limit, block obvious bot traffic, use risk-based authentication, and offer stronger sign-in options. They can also build abuse teams and monitoring that smaller services cannot afford.
When those defenses work, you see more "someone tried to log in" alerts. That does not mean you are uniquely targeted. It often means the platform is catching the background noise.
What platforms cannot do perfectly
Platforms cannot reliably distinguish you from an attacker when the attacker has:
- your correct password (from reuse or a breach),
- your email inbox (for resets),
- your phone number (for SMS-based recovery), or
- a valid session cookie (from malware or device compromise).
They also cannot safely block everything without locking out legitimate users. Recovery systems exist to help real users, and attackers try to use those systems too. That tradeoff is structural.
How attempts turn into real compromise
Most attempts fail. Successful compromise usually involves one of a few failure modes.
Password reuse and credential stuffing
This is the highest-volume path. A password from an unrelated breach becomes a working password on another site. The fix is simple and annoying: unique passwords everywhere.
Recovery-channel compromise
If the email inbox or phone number is compromised, resets become a takeover mechanism. This is why security people treat email and phone as the control plane.
Approval-based phishing
Some attacks do not steal your password. They trick you into approving a login prompt or sharing a one-time code. This is why any request for a code should be treated as hostile.
Session theft
Infostealer malware can steal browser sessions and tokens. In that case, changing a password alone may not stop re-entry unless you also revoke sessions and clean the device.
How to tell whether you are dealing with background noise or active targeting
Background noise looks like: occasional password reset emails you did not request, login alerts from random locations, or a burst of attempts that stops.
Active targeting looks like: repeated login prompts that follow you across devices, new recovery emails or phone numbers added, messages impersonating support, or compromise recurring after you reset.
Common mistake: changing the compromised account password while leaving the email inbox or device compromised. The attacker just comes back through resets or stolen sessions.
Containment steps when you suspect compromise
Use a predictable sequence so you do not chase symptoms.
- Secure the email inbox first: change the password, enable 2FA, remove unknown forwarding rules and connected apps.
- Secure the most important accounts next: password manager, financial accounts, main social accounts.
- Revoke sessions: sign out other devices and remove unknown sessions.
- Check devices: if compromise repeats, treat it as a device issue and look for spyware or infostealers.
Use been hacked? what to do first as a full containment checklist.
Controls that matter most for small teams
Small organizations are hit by the same scaled attempts, but the blast radius is bigger because one compromised admin account can cascade.
- Enforce MFA everywhere: email, admin consoles, VPN, and password manager.
- Remove legacy sign-in paths: disable old protocols and reduce password-only access where possible.
- Use SSO carefully: SSO is convenient, but it centralizes risk. Harden the identity provider and its recovery paths.
- Limit admin accounts: use separate admin identities and avoid using admin accounts for daily browsing and email.
- Monitor for spraying: repeated failures across many users is a different signal than repeated failures on one user.
Attempts will continue to scale because the economics of automation are stable. The winning strategy is not to avoid being targeted. It is to make attempts fail and to make recovery predictable when an attempt succeeds.
Once password reuse is gone and the control plane is secured, most mass attacks become harmless noise. Alerts start to mean something again.
That is the real boundary between frustration and control: you stop reacting to attempts and start engineering failure for the attacker.