Crypto Hacks Hit $1.18B as Smart-Contract Losses Rise

| bitcoinist.com
Crypto hacks caused $1.18 billion in losses across 107 incidents in Q3 2026, up 55% from Q2, according to Hacken. The newer report says smart-contract exploits accounted for 48% of losses, compared with 12% in the previous quarter, while access-control and operational failures represented 40%, down from 88%. Hacken also linked about $906.8 million in losses to compromised suppliers or development tools, known but unpatched vulnerabilities, and components missing from recent security audits. The largest reported incident was the Bitget attack, which caused at least $352 million in losses after a flaw in a third-party security product exposed withdrawal infrastructure. Hacken warned that audits often focus on core contracts while overlooking keys, wallets, signers, deployment systems and third-party software. It also flagged weak key management at some derivatives and prediction-market platforms, without identifying active exploits there. The findings underline that crypto hacks can result from weaknesses beyond smart-contract code. Traders assessing project risk should look at audit coverage and recency, as well as ongoing vulnerability management and operational security.
Neutral
The report documents substantial losses and a sharp quarterly increase in crypto hacks, which could weaken confidence in affected platforms and prompt short-term caution toward their tokens. However, the summaries do not identify a broad market-wide exploit or a direct price catalyst for a specific cryptocurrency. The Bitget incident and the security concerns relate to platform infrastructure and industry practices, while the report provides no evidence of active attacks on the derivatives and prediction-market platforms whose key management it flags. In the longer term, stronger security practices could support trust in the sector, but the disclosed losses may also lead traders to scrutinize project controls more closely. With no specific coin-wide impact established, the expected price effect is neutral.