Understanding Hack, Scam, Attack & Exploit in Crypto

Understanding Hack, Scam, Attack & Exploit in Crypto

Thanh Tú6/26/2025

1. What Are Hack, Scam, Attack & Exploit in Crypto?

 

In the fast-evolving crypto landscape, understanding security threats is essential. Terms like hack, scam, attack, and exploit are often used interchangeably, but they refer to distinct types of risks. Grasping these differences helps investors and users stay alert and protect their digital assets.

In 2024, the cryptocurrency market continued to face significant security challenges, incurring billions of dollars in losses due to hacks, scams, and cyberattacks. According to Immunefi, Q3 alone saw 34 security breaches and 3 scams, resulting in $423.9 million in losses. This brought the year-to-date total to 179 incidents and $1.34 billion in damages.

Notably, hacking accounted for the majority of losses, with $564.2 million lost in Q2—an increase of 112% compared to the same period the previous year. Among these, the hack on Indian exchange WazirX alone caused $234.9 million in damages, representing 45% of Q3’s total losses.

These attacks have impacted not only major exchanges but also individual users, particularly those lacking experience or adequate security measures.

 

2.Distinguish the types of attacks in Crypto

 

2.1 Hack – Unauthorized Access

 

A hack involves unauthorized access to a system or protocol, often caused by a vulnerability in the code or poor security practices. The attacker may steal funds, alter smart contracts, or disrupt network functionality.

Example:
In 2022, the Ronin Network suffered a $600 million hack due to compromised private keys. Hackers gained access to validator nodes and withdrew massive funds unnoticed.

 

2.2 Scam – Deception and Fraud

 

A scam refers to fraudulent schemes that deceive users to gain control of their assets. Unlike hacks, scams typically rely on social engineering or false promises.

Popular crypto scams include:

  • Fake investment schemes (Ponzi schemes)

  • Phishing websites or messages

  • Impersonation of influencers or projects

  • Rug pulls (project creators exit after collecting funds)

Example:
The Squid Game token scam lured users with hype and exited with millions in investor funds.

 

2.3 Attack – Malicious Targeted Actions

 

An attack is a broad term that covers various malicious strategies designed to disrupt or manipulate blockchain networks. Unlike hacks that exploit vulnerabilities, attacks may target the entire network or consensus mechanism.

Types of attacks:

  • 51% Attack: Controlling the majority of mining power to reverse transactions

  • DDoS Attack: Overloading a network or application to make it inaccessible

  • Sybil Attack: Using fake identities to gain influence in a network

Example:
Ethereum Classic was hit with a 51% attack in 2020, causing double-spending incidents.

 

2.4 Exploit – Code Vulnerability Abuse

 

An exploit refers to taking advantage of an unintended behavior or vulnerability in smart contract code or protocol design without necessarily “hacking” it.

Common examples:

  • Flash loan exploits

  • Reentrancy bugs in smart contracts

  • Oracle manipulation

Example:
The bZx platform suffered multiple exploits due to smart contract flaws, costing millions in lost assets.