ChainBleedv0.1 · open intel
← back to feed·FLASHLOAN2021-05-23 · 5y ago
Incident · SLOWMIST

Bogged Finance

Flash loan attack
Estimated loss
$3.00M
VERDICT —UNRATED
Verdict pending. Auto-ingested incidents are reviewed before a public verdict is rendered.
▰ METHOD
FLASHLOAN
FLASHLOANBYTECODE CATCHABLEAI SCANNABLE
Root cause

Root-cause analysis not yet published. The incident description below contains all currently available signal — review the attack transaction directly for definitive forensics.

Forensic narrative

The DeFi protocol Bogged Finance officially stated that hackers carried out a lightning loan attack on the staking function vulnerability of BOG token contracts and withdrew 3 million US dollars from the liquidity pool. The hackers used the Pancake Pair Swap code to withdraw the pledge before the contract verification was completed. income. The official team stated that the remaining 8 million US dollars in the current liquidity pool is safe. The vulnerabilities used by hackers have been "blocked" and cannot be reused. The tools provided by Bogged Finance are still safe to use, and the team is repairing the front end. Display the problem. Attack method (per SlowMist): Flash loan attack. Reported loss: $ 3,000,000.

Primary source
https://boggedfinance.medium.com/bog-flash-loan-attack-what-happened-and-whats-next-token-migration-192a9d96b9b7
Sourced from
slowmist
Technical record
chain
protocol
Bogged Finance
bug_class
flashloan
date_occurred
2021-05-23
loss_usd
$3,000,000
source_id
sm:bogged-finance::2021-05-23
Related — same bug class· flashloan
2026-05-11
1mo ago
POLY
Ink Finance
Contract Vulnerability
flashloan
$140.0K
UNRATED
2026-05-04
1mo ago
ETH
SmartCredit
Flashloan Exploit
flashloan
$72.0K
UNRATED
2026-05-04
1mo ago
SmartCredit
Flash Loan Exploit
flashloan
$72.0K
UNRATED
2026-04-28
1mo ago
BSC
JUDAO
Flashloan Exploit
flashloan
$228.0K
UNRATED
2026-04-28
1mo ago
JUDAO
Exploit
flashloan
$228.0K
UNRATED
2026-04-15
1mo ago
LootBot AI
Contract Vulnerability
flashloan
$9.6K
UNRATED
ChainBleed — live web3 threat intelligence