Crypto Scams and Hacks Surge to $370M in January: CertiK

TheNewsCrypto發佈於 2026-02-02更新於 2026-02-02

文章摘要

In January, cryptocurrency scams and hacks surged to $370.3 million, marking the highest monthly loss in 11 months and a fourfold increase from January of the previous year. The majority of the stolen funds came from a single social engineering scam that resulted in a $284 million loss. Phishing attacks accounted for over $311.3 million of the total. The month's largest incidents included a $28.9 million hack on Step Finance, a $26.4 million exploit of the Truebit protocol due to a smart contract bug, and a $13.3 million attack on SwapNet. Overall, 16 major hacks were recorded, causing $86.01 million in losses—a slight decrease from the previous year but a 13% rise from December. The figures represent a 214% increase from December's losses and highlight a significant escalation in crypto security breaches.

The total value of stolen cryptocurrencies via exploits and scams extended to $370.3 million last month, the biggest monthly figure hit in 11 months and around a fourfold increase from January of last year.

CertiK, the biggest Web3 security service provider, stated on January 31 that out of 40 scam incidents that happened in January, the major portion of the total value stolen came from one victim that lost about $284 million because of a social engineering scam.

Around over $370 million stolen was accounted for by phishing scams, which stole over $311.3 million over the month. This month’s figure is the biggest loss, followed by the Bybit hack in February 2025.

In February 2025, the hackers swept off around $1.5 billion overall over the month, a major portion of which came from the $1.4 billion hack on crypto exchange Bybit. The recent amount marks over a 277% surge from January 2025, when attackers swept in and stole $98 million.

The Biggest Surge

CertiK also mentioned that it is also a 214% surge from December, witnessing $117.8 million lost to crypto theft. The blockchain security and data analytics company, PeckShield, revealed on February 1 that the hack of Step Finance in the last month of January was the biggest for the month.

Attackers swept $28.9 million in the attack on the decentralised finance portfolio tracker, where a lot of its treasury wallets were risked, having over 261,000 Solana (SOL) taken. After this, the biggest exploit for the month was the $26.4 million attack on the Truebit protocol on January 8, when a bug in a smart contract permitted an attacker to mint tokens almost for free. This also banged the price of the Truebit (TRU) token.

PeckShield also highlighted the $13.3 million hack on liquidity provider SwapNet on January 26 and the $7 million hack against the blockchain protocol Saga on January 21. The firm mentioned that there were around 16 hacks overall in January, equating to $86.01 million in losses, a 1.42% fall from a year ago, but over a 13% rise from December.

Highlighted Crypto News Today:

CrossCurve Bridge Exploit Exposes $3 Million Loss in Cross-Chain Security Breach

TagsCertiKHackScam

相關問答

QWhat was the total value of stolen cryptocurrencies in January according to CertiK?

A$370.3 million

QWhich single incident accounted for the majority of the stolen funds in January?

AA social engineering scam that resulted in a loss of about $284 million to one victim.

QWhat was the most significant hack prior to January's surge, as mentioned in the article?

AThe Bybit hack in February 2025, where approximately $1.4 billion was stolen.

QAccording to PeckShield, which was the largest individual hack incident in January?

AThe $28.9 million hack of Step Finance.

QWhat type of attack was responsible for the majority of the stolen funds in January?

APhishing scams, which stole over $311.3 million.

你可能也喜歡

Y-Combinator CEO的AI使用指南:未来属于会搭建复利型系统的人

本文核心观点:未来竞争力属于能围绕个人知识和工作流,搭建具备“复利”效应的AI系统的人,而非仅仅会使用AI工具的人。 Y Combinator CEO Garry Tan分享了他的实践:他不再将AI视为聊天工具,而是将其构建成个人的“操作系统”和“第二大脑”。这套系统能持续积累并结构化其所有的会议、阅读、人脉和信息,使其相互关联,形成可不断迭代和增强的知识网络。 关键实践包括: 1. **书籍镜像**:AI能深度消化书籍内容,并将其核心观点与他的个人经历、职业背景具体关联,生成专属的读书笔记。 2. **技能化**:将重复性工作流抽象为可复用的“技能”,并通过“元技能”不断创造和优化新技能,实现能力积累。 3. **知识库系统**:他维护着一个约10万页的结构化“大脑”,涵盖人物、公司、会议、阅读等所有信息,并能主动为会议等场景提供深度背景准备。 4. **架构理念**:采用“厚技能、厚数据、薄框架”的架构。模型(引擎)可替换,真正的价值在于沉淀个人数据的知识库和封装个人工作模式的技能库。 Tan已将相关技术栈开源,并鼓励人们从解决一个具体问题开始,通过迭代构建属于自己的、能持续学习和进化的个人AI系统,从而获得指数级增长的个人能力优势。

marsbit45 分鐘前

Y-Combinator CEO的AI使用指南:未来属于会搭建复利型系统的人

marsbit45 分鐘前

交易

現貨
合約
活动图片