Binance and Kraken avoided attacks similar to coinbase thanks to IA: Bloomberg tools

As indicated Bloomberg, Binance and Kraken They were also the target of attacks like the one who hit Coinbase, Only such platforms had AI systems that allowed to block such attempts.

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• Coinbase suffered data filtration after bribes to external employees
• Binance and Kraken They blocked similar attacks with the help of AI systems
• The gap could cost Coinbase up to USD $ 400,000,000

At the rate of the events that occurred to Coinbase, which resulted in a hacking with potential millionaire losses, a new report published by Bloomberg indicates that Binance and Kraken They were also victims of similar attempts, although fortunately these platforms managed to identify the acts and avoid such consequences.

As reported Bloomberg, The attackers tried to execute a Phishing scheme aimed at external customer service representatives, with the aim of obtaining access to confidential user data. Yes ok Coinbase confirmed the violation, Binance and Kraken They managed to avoid greater consequences thanks to the timely detection by their security systems based on artificial intelligence.

The incident of Coinbase

In a report presented to the BAGS AND VALUES COMMISSION OF USA. (SEC), Coinbase explained that Hackers managed to bribe employees from attention centers abroad. Thanks to these bribes, the attackers accessed accounts management and user data records.

The company said that critical information – as passwords, private keys and funds – was not directly compromised. However, the potential impact remains considerable. Coinbase He estimates that the incident could cost up to USD $ 400,000,000 in remediation expenses and volunteer reimbursements to customers.

In an unusual movement, The company offered a reward of USD $ 20,000,000 for information that leads to the capture and condemnation of those responsible for the blackmail.

Binance and Kraken They blocked similar attacks

As to Binance and Kraken, The report indicates that both platforms were also the target of hackers who operated with similar tactics, using Telegram to contact customer service representatives. They were offered money in exchange for delicate data such as account balances and user residential addresses.

Unlike Coinbase, These platforms did not suffer security violations. Both exchanges had automatic defense mechanisms, backed by AI, which identified the attack vector and neutralized it before information was filtered.

Spokesmen of Binance and Kraken They did not detail the amount of attempts detected, but they assured that there were no losses or client data commitments.

It has not yet been confirmed if the same group of attackers was behind the three incidents. The tactics used were similar, which suggests coordination or at least shared inspiration between malicious actors operating in encrypted messaging networks such as Telegram.

These events underline a worrying trend: the use of social engineering and bribes as a means to violate the security of highly technified platforms. As companies reinforce their digital defenses, attackers resort to human methods to obtain access.

Impact for industry and future measures

Although Coinbase He managed to contain the impact on user assets, the company’s reputation could be affected. In addition to direct economic damage, cases such as this revive concerns about safety in the crypto ecosystem.

The immediate reaction of Coinbase, Including cooperation with authorities and the millionaire reward, it demonstrates an attempt to regain user confidence. For its part, Binance and Kraken They took advantage of what happened to highlight the effectiveness of their internal systems.

The incident could also accelerate regulatory discussions on how to supervise the operational security of platforms that handle billions of dollars in digital assets.

Written article with the help of an AI content editor, edited by Angel Di Matteo / Diariobitcoin

Original image of Diariobitcoin, created with artificial intelligence, for free use, licensed under public domain

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