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Same Hacker Hits Multiple AI Projects, 260M AGIX Illegally Minted on SingularityNET

The same hacker has breached multiple AI crypto projects including Fetch.ai and SingularityNET, with 260 million AGIX tokens illegally minted on SingularityNET. The incident caused direct asset losses and exposed risks in cross-chain bridge signing keys.

According to publicly available information, the same hacker has successively attacked AI crypto projects including Fetch.ai, with SingularityNET having 260 million AGIX tokens illegally minted. The incident directly caused asset losses and exposed cross-chain bridge signing key risks. This is a major security event in the AI crypto sector in recent times, with the attack scope involving multiple projects, not an isolated attack against a single platform.

The incident affected multiple AI crypto projects including Fetch.ai and SingularityNET. At the core, these projects all fall within the AI sector and run on crypto networks. SingularityNET is the most severely affected project among those disclosed, with the largest scale of illegal minting. Other projects such as Fetch.ai were also breached by the same attacker, indicating that the attacker has the ability to successively break through the security defenses of different projects, and the impact of the attack may extend beyond one ecosystem. There is currently insufficient information to determine whether there is consistency in the security configurations across these projects.

The same attacker consecutively attacking multiple AI projects is one of the most prominent features of this incident. Normally, a single security event may be triggered by a vulnerability in a specific project, but the same attack source succeeding across multiple projects suggests that there may be common security weaknesses among the related projects, or that the attacker has mastered a reusable attack method. The original material described this as 'successively breaking into multiple AI crypto projects' and noted the illegal minting of a large number of tokens. This characteristic extends the impact of the incident beyond a single project and serves as a reminder for security expectations across the entire AI sector.

In this incident, SingularityNET had 260 million AGIX tokens illegally minted, which is the most specific loss figure disclosed so far. AGIX is a token in the SingularityNET ecosystem. Illegal minting means the token supply was maliciously increased beyond what the project team anticipated. Such a large-scale illegal minting directly constitutes asset losses and impacts expectations for the project's tokenomics. For AGIX holders, an abnormal increase in token supply can disrupt judgments on token value. For the project team, how to deal with these illegally minted tokens will be one of the core issues in subsequent handling. The original material has not yet disclosed whether the project team has taken measures such as freezing, rolling back, or other disposal actions.

From the basic mechanism of crypto tokens, token supply is usually set by the project's economic model. Illegal minting bypasses established rules to create additional tokens that should not exist. Such behavior undermines the credibility of supply data and thus affects market assessments of a project's governance capability. In this case, the scale of illegal minting has already caused asset losses for SingularityNET; there is currently no public information on whether these tokens have entered the secondary market.

The incident also exposed cross-chain bridge signing key risks. Cross-chain bridges are critical infrastructure for transferring assets and messages between different blockchain networks, and signing keys play an important role in the verification process of cross-chain assets. The original material directly linked this incident to cross-chain bridge signing key risks, indicating that the attack may be related to the security of the signing component in cross-chain bridges. The specific attack path has not been disclosed in the original material, and no definitive conclusion can be made on the technical details at this time. But at least it can be confirmed that this risk has become an important security topic exposed by the incident.

In the cross-chain ecosystem, the security of signing keys is directly related to the authenticity of cross-chain messages. If there are vulnerabilities in signing key management, an attacker could forge cross-chain instructions and generate unauthorized assets on the target chain. Although the specific attack details of this incident have not been disclosed, the original material directly points the risk to the signing key component, indicating that its security warrants close scrutiny. The industry's reliance on cross-chain bridge signing services is relatively high, so any risk at the signing key level could affect related ecosystems. The above explanation of the attack path is speculative based on associations in the original material, and there is no further source of information on the specific technical details.

This attack is not an isolated security event; rather, it signals that security standards for the AI sector need further improvement. The original material defined the incident as a major security event with high user attention. The information disclosed so far is limited, confirming only core facts such as the attacker's successive intrusions, the illegal minting of a large number of tokens on SingularityNET, and the exposure of signing key risks. Specific details such as the time of the attack, the identity of the attacker, and specific loss figures for other projects have not been disclosed in the original material.

From the perspective of impact, illegal minting leading to asset losses is a relatively serious level among security events involving AI crypto projects. The original material defined it as a major security event and noted high user attention. The impact of a security incident can extend beyond a single project, especially when multiple projects are successively breached by the same attacker, which can affect market security expectations for similar projects. This assessment is based solely on the disclosed scope of the incident and does not involve predictions about price trends.

Key points for subsequent attention mainly include: whether SingularityNET will publicly explain its plan for handling the illegally minted tokens; whether other affected projects such as Fetch.ai will disclose the specific circumstances and loss scope of the attacks; whether the related projects will carry out security upgrades for the relevant signing services; and whether the industry will conduct more targeted security audits for AI projects. A specialized review of cross-chain bridge signing services may become an important direction for future security building. Before more official information is released, the market should continue to monitor the progress of the incident.

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