Hdr_About.jpg

Detail Analysis

link.png

Date:

Status:

Count:

Contributor:

February 28, 2021

info.png

Verified

1

zerofriction.io

Loss Amount:

14,000,000

info.png

Recovered Amount:

-

Currency:

Dollars

KYC By:

Audit By:

None

None

info.png

Website:

Twitter:

No data

Discord:

No data

Telegram:

No data

Medium:

No data

Github:

No data

info.png

Key Indicators

Platform:

Type:

Category:

Method:

Polygon

Protocol

Yield

Contract Vulnerabilities

Extended Method:

Logic error, fake contract, over-authorization

Data Sources:

info.png

Furucombo, a tool designed to help users “batch” transactions and interactions with multiple decentralized finance (DeFi) protocols at once, fell victim to the attack at roughly 4:45 pm UTC, which centered on token approvals from users. The agent of the DeFi platform Furucombo was attacked and the amount stolen amounted to more than 15 million U.S. dollars. The DeFi aggregation platform Furucombo officially released a tweet, saying: "The root cause has been found and the vulnerability has been patched. The funds are now safe. We are investigating the stolen funds and organizing follow-up actions. The follow-up will continue to be updated. "Later, Furucombo stated that it would issue 5 million iouCOMBO tokens to affected users. In these “evil contract” exploits, an attacker creates a contract that fools a protocol into believing it belongs there, giving them access to protocol funds.

info.png

DISCLAIMER: While Zero Friction LLC has used the best efforts in aggregating and maintaining this database, Zero Friction LLC makes no representations or warranties with respect to the accuracy or completeness, and specifically disclaim any implied warranties of merchantability or fitness for any particular purpose. 

Under no circumstances, shall Zero Friction LLC be liable for any loss of profit or funds, any regulatory or governmental penalties, any legal costs, or any other commercial and non-commercial damages, including but not limited to special, incidental, consequential, or other damages from any or all usage of the dataset or information derived from our database.