Case library

Social Engineering Techniques: 18 Tactics With Real Cases

Social engineering techniques are the moves inside a scam. They’re what actually gets someone to hand over money, access, or data. Each explanation is short, with a link to the real cases where it turns up. Counts overlap, because one case often uses a few.

Key takeaways

Reviewed by SEE Team · Last reviewed 20 Oct 2026 · How cases are sourced · Library statistics

Email and payment fraud

6 techniques in this group.

Business email compromise (BEC)

Picture an email from a supplier you’ve paid for years, asking you to use a new bank account. Sometimes their real mailbox has been hijacked. Sometimes it’s a lookalike address. Either way, the money ends up with the attacker.

37 casesRead →

CEO fraud

The boss emails late on a Friday. There’s a deal, it’s confidential, and the transfer has to go today. Except it isn’t the boss. Secrecy plus a deadline is the tell.

11 casesRead →

Invoice fraud

A supplier invoice arrives looking exactly like the last twenty. The amount’s right, the logo’s right. Only the bank details have changed, and that’s where the payment goes.

7 casesRead →

W-2 phishing

Someone posing as an executive asks payroll for a batch of staff tax forms. It sounds routine. Those forms then get used to file fake tax returns and open accounts in employees’ names.

5 casesRead →

Spear phishing

Phishing written for you, not for everyone. It might mention your manager, a real project, or a supplier you actually use, which is why it’s so easy to believe.

7 casesRead →

Credential harvesting

One click, and you’re on a sign-in page that looks exactly like the real one. Type your password and you’ve just handed it over.

5 casesRead →

Phone calls, voice, and account takeover

5 techniques in this group.

Callback phishing (TOAD)

The email says you’ve been billed for antivirus you never ordered, and there’s a number to call. Call it, and the con plays out by phone, where no email filter can follow.

3 casesRead →

Tech-support scam

A pop-up screams that your laptop’s infected, or a caller says the same. They want remote access, a fee, or both. Genuine tech companies don’t phone people about viruses.

3 casesRead →

Voice cloning

AI copies a voice from a short audio clip. So the panicked call really does sound like your daughter, or the CFO. If it feels off, hang up and ring them back yourself.

5 casesRead →

MFA fatigue

Your phone keeps buzzing with login approval requests you didn’t trigger. Late at night, tired, you tap approve just to make it stop. That’s the whole attack.

3 casesRead →

Account takeover

Someone talks the help desk into a reset, or just logs in with a stolen password. As far as the system knows, they’re you now, so they can move money or go after the next account.

4 casesRead →

Fake people and long cons

3 techniques in this group.

Synthetic identity

A person who doesn’t exist, stitched together from a real ID number and made-up details. It can open accounts, build up credit, even get a job, and for a while nobody real notices.

11 casesRead →

Recruitment fraud

A dream job offer that asks for your bank details up front. Or a remote candidate who isn’t who they say. Fake recruiting hurts job hunters and employers alike.

6 casesRead →

Pig butchering

It starts as a friendly chat, maybe a wrong-number text. Weeks or months later, there’s a crypto platform that’s doing great. The profits are fake. The losses aren’t.

6 casesRead →

Vendors, devices, and AI systems

4 techniques in this group.

Supply-chain social engineering

Rather than attack a big company head-on, the attacker goes after a smaller vendor that already has access. The vendor’s trust becomes the way in.

3 casesRead →

USB drop attack

A USB stick turns up in the parking lot, labeled “Salaries 2024.” Somebody plugs it in to see. That’s usually all it takes.

4 casesRead →

Prompt injection

Somebody hides instructions in a web page, an email, or a file. The AI assistant reading it can’t tell the difference and does what it’s told, even against its own user.

4 casesRead →

AI-generated malware

Attackers use AI tools to write malicious code, or to tweak old code so security tools don’t recognize it. It lowers the bar for people who couldn’t code before.

3 casesRead →

How are social engineering techniques different from attack types?

The attack type is how it reaches you: an email (phishing), a call (vishing), or a text (smishing). The technique is the trick inside it, say, pretending to be the CEO or spamming login prompts. That’s how a single phishing email ends up carrying CEO fraud and invoice fraud together.

Social engineering techniques: common questions

What are the most common social engineering techniques?

Going by the cases here, the most common are business email compromise (BEC), 37 cases; CEO fraud, 11 cases; and synthetic identity, 11 cases. Those counts overlap, because one attack usually mixes a few. Spear phishing and credential harvesting tend to come first, and the payment fraud comes last.

What is the difference between a social engineering technique and an attack type?

The attack type is the channel: email, phone, a text, or someone turning up in person. The technique is the trick inside it, like impersonating an executive or faking a supplier invoice. One technique can show up in several channels, so the library tags both.

How do attackers combine social engineering techniques?

Most real attacks string together two or more. A typical run goes like this: research the target, build a pretext with a spear-phishing email or a call, then ask for a payment, a password reset, or remote access. Each technique page lists the cases where it turned up alongside others.

How can organizations defend against these techniques?

The controls that stop the most techniques are simple. Check payment and account requests on a channel you pick. Use phishing-resistant MFA, like FIDO2 security keys. Have two people approve any new payee. And make the help desk confirm a caller really is who they say before any reset.