📰 AI uncovers old vulnerabilities: why the “security myth” of cryptocurrencies is starting to crack?
In 2026, AI researchers dug up several old vulnerabilities in cryptocurrencies: one is a four-year-old Zcash flaw that could be used to counterfeit coins; another is a weakness in “cold wallets” from 2021 that led to over $100 million worth of Bitcoin being stolen; and there was also an incident where AI was compromised, resulting in the transfer of 3 billion DRB coins. These long-standing issues expose potential systemic risks in crypto security defenses—so much so that even AI may not be able to fully see everything.
Why is this news important?
Vulnerability detection in crypto has long depended on the community’s spontaneous actions. This time, AI “re-reads the code” and finds old problems. The root cause is that the industry lacks unified security standards. It’s like vehicle recalls: crypto’s “recall mechanism” is weak—only after hackers make big money from vulnerabilities do projects fix them. That means smart contracts deployed over the past four years may generally have hidden risks. Meanwhile, AI can automatically scan, greatly lowering the cost of discovering vulnerabilities. This hits the crypto security myth directly. What does that mean? Even code written by the top developers could still be attacked via details that AI overlooks from a human perspective.
Impact on the market
In the short term, it may pressure sentiment around BTC and ETH. But more importantly, it could shake the foundation of long-term trust. Data shows the current Fear & Greed Index is 55 (neutral). However, this event may lead investors to start questioning: the coins you hold now—could they also have undiscovered “time bombs”? For historical context: in 2018, vulnerabilities in Ethereum smart contracts led to the The DAO incident, and the coin price then crashed by 60%. The difference this time is that the attack methods are more covert—not actively exploited by hackers, but automatically found by AI—which could mean a wider impact. Regulators may use this opportunity to speed up legislation for crypto asset oversight, such as mandatory code audits. In terms of capital flows, funds may move out of higher-risk coins and into safer assets like bonds.
Approach
I believe in the short term, this news will weigh on BTC and ETH sentiment. But in the long run, it’s negative that clears the way for healthy industry development—the bad is out of the system. If, in the next two weeks, BTC stabilizes at the $80,623.13 support level, and if demand for Ethereum smart contract audits increases significantly, then this view would be invalid. For now, it’s suitable to remain cautiously observant—no need to panic-sell—but it’s necessary to reassess the long-term holdings of crypto projects. One-sentence translation: AI is like a ground-penetrating radar that detects underground water; old mine shafts that were invisible before can now be found.
【Author’s style】This article has no project sponsorship, and the author does not hold any of the referenced assets.
Source: Bitcoin.com
$BTC $ETH #BTC #ETH
⚠️ Not investment advice; predictions are for reference only
In 2026, AI researchers dug up several old vulnerabilities in cryptocurrencies: one is a four-year-old Zcash flaw that could be used to counterfeit coins; another is a weakness in “cold wallets” from 2021 that led to over $100 million worth of Bitcoin being stolen; and there was also an incident where AI was compromised, resulting in the transfer of 3 billion DRB coins. These long-standing issues expose potential systemic risks in crypto security defenses—so much so that even AI may not be able to fully see everything.
Why is this news important?
Vulnerability detection in crypto has long depended on the community’s spontaneous actions. This time, AI “re-reads the code” and finds old problems. The root cause is that the industry lacks unified security standards. It’s like vehicle recalls: crypto’s “recall mechanism” is weak—only after hackers make big money from vulnerabilities do projects fix them. That means smart contracts deployed over the past four years may generally have hidden risks. Meanwhile, AI can automatically scan, greatly lowering the cost of discovering vulnerabilities. This hits the crypto security myth directly. What does that mean? Even code written by the top developers could still be attacked via details that AI overlooks from a human perspective.
Impact on the market
In the short term, it may pressure sentiment around BTC and ETH. But more importantly, it could shake the foundation of long-term trust. Data shows the current Fear & Greed Index is 55 (neutral). However, this event may lead investors to start questioning: the coins you hold now—could they also have undiscovered “time bombs”? For historical context: in 2018, vulnerabilities in Ethereum smart contracts led to the The DAO incident, and the coin price then crashed by 60%. The difference this time is that the attack methods are more covert—not actively exploited by hackers, but automatically found by AI—which could mean a wider impact. Regulators may use this opportunity to speed up legislation for crypto asset oversight, such as mandatory code audits. In terms of capital flows, funds may move out of higher-risk coins and into safer assets like bonds.
Approach
I believe in the short term, this news will weigh on BTC and ETH sentiment. But in the long run, it’s negative that clears the way for healthy industry development—the bad is out of the system. If, in the next two weeks, BTC stabilizes at the $80,623.13 support level, and if demand for Ethereum smart contract audits increases significantly, then this view would be invalid. For now, it’s suitable to remain cautiously observant—no need to panic-sell—but it’s necessary to reassess the long-term holdings of crypto projects. One-sentence translation: AI is like a ground-penetrating radar that detects underground water; old mine shafts that were invisible before can now be found.
【Author’s style】This article has no project sponsorship, and the author does not hold any of the referenced assets.
Source: Bitcoin.com
$BTC $ETH #BTC #ETH
⚠️ Not investment advice; predictions are for reference only
