ChainBleedv0.1 · open intel
← back to feed·FLASHLOAN2022-03-17 · 4y ago
Incident · SLOWMIST

APE

Airdrop Mechanism Vulnerability
Estimated loss
$500.0K
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

According to a report by Twitter user Will Sheehan, the arbitrage bot took out more than 6w APE Coins (worth $8 each) through flash loans. After analysis, it was found that this was related to a loophole in the airdrop mechanism of APE Coin. Specifically, whether APE Coin can be airdropped depends on whether a user holds the instantaneous state of BYAC NFT, and this instantaneous state attacker can manipulate by borrowing a flash loan and then redeeming to obtain BYAC NFT. The attacker first borrows BYAC Token through flash loan, and then redeems to obtain BYAC NFT. Then use these NFTs to claim the airdropped APE, and finally use the BYAC NFT mint to obtain BYAC Token to return the flash loan. Attack method (per SlowMist): Airdrop Mechanism Vulnerability. Reported loss: $ 500,000.

Primary source
https://twitter.com/wilburforce_/status/1504437189979119622
Sourced from
slowmist
Technical record
chain
protocol
APE
bug_class
flashloan
date_occurred
2022-03-17
loss_usd
$500,000
source_id
sm:ape::2022-03-17
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