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DyorSwap: The previously identified "GIWA Mainnet" is actually a fake chain built by scammers, and compensation for affected users will be provided through treasury funds

DyorSwap officially announced that the so-called "GIWA Mainnet" identified by the team earlier is actually a fake chain set up by scammers. This fake network used the correct GIWA chain ID (9134), making it appear legitimate during the initial verification phase. The team also identified several suspicious messages and individuals within the related community that may be connected to this incident. The announcement stated that significant losses have occurred due to this fraudulent cross-chain bridge.DyorSwap stated that it is taking three immediate actions: first, contacting a professional security team to conduct further on-chain tracking and investigate the involved addresses, transactions, and fund flows; second, preserving all relevant evidence, including chat records, RPC information, cross-chain bridge addresses, and on-chain transactions; third, preparing to use treasury funds to compensate affected users, with eligibility criteria, loss verification processes, compensation scope, and detailed plans to be announced after the investigation and verification processes are completed.DyorSwap emphasized that until further notice, users should not use any unofficial GIWA mainnet RPCs, cross-chain bridges, or contracts, and should not send funds to any related addresses. The official team deeply apologizes to every affected user in this incident and states that subsequent updates will be released as soon as possible.

DyorSwap: The previously identified "GIWA Mainnet" is actually a fake chain built by scammers, and compensation for affected users will be provided through national treasury funds

DyorSwap officially announced that the so-called "GIWA mainnet" previously identified by the team is actually a fake chain set up by scammers. This fake network used the correct GIWA chain ID (9134), making it appear legitimate during the initial verification phase. The team also identified several suspicious messages and individuals within the related community that may be connected to this incident. The announcement stated that significant losses have occurred due to this fraudulent cross-chain bridge.DyorSwap stated that it is taking three immediate actions: first, contacting a professional security team to conduct further on-chain tracking and investigate the involved addresses, transactions, and fund flows; second, preserving all relevant evidence, including chat records, RPC information, cross-chain bridge addresses, and on-chain transactions; third, preparing to use treasury funds to compensate affected users, with eligibility criteria, loss verification processes, compensation scope, and detailed plans to be announced after the investigation and verification processes are completed.DyorSwap emphasized that until further notice, users should not use any unofficial GIWA mainnet RPCs, cross-chain bridges, or contracts, and should not send funds to any related addresses. The official team deeply apologizes to every affected user in this incident and states that subsequent updates will be released as soon as possible.

first_img Google disclosed the AI security agent PageBreak, which has identified over 500 vulnerabilities

The Google Product Security Team has disclosed an internal AI agent called PageBreak, used to test the security of its first-party web applications. This agent is built on Google's Gemini model and began a pilot program in November 2025, transitioning to a formal project in January 2026, with the goal of autonomously scaling vulnerability discovery and reducing manual input.Unlike common AI scanning tools, PageBreak hands over hypotheses to specialized validators after discovering suspicious defects, attempting actual exploitation in a real-time running copy of the application, and only reports once confirmed exploitable, with a false positive rate close to zero. Google claims that PageBreak has identified over 500 XSS vulnerabilities in its first-party web applications, which can be used to hijack login sessions, steal data, or impersonate users.Google stated that the security team has been overwhelmed in recent years by a large number of AI-generated vulnerability reports that appear reasonable but are not valid, making it a major challenge to distinguish real defects from hallucinations. When testing applications built using the next-generation high-assurance framework, PageBreak found only two vulnerabilities. The next step for Google is to integrate PageBreak with the automated remediation agent CodeMender, providing confirmed vulnerabilities with accompanying fixes.

first_img Anthropic: Claude identifies new enzyme systems, gene editing stocks decline

On Wednesday local time, Anthropic announced that its model Claude identified a previously undescribed enzyme system in vast DNA sequence data, with a repetitive sequence arrangement similar to CRISPR. This is the first achievement of its newly established biological laboratory, which was formed this spring and is located in the San Francisco Bay Area. Following the announcement, shares of gene editing companies fell on Wednesday, with CRISPR Therapeutics down 5.54%, Beam Therapeutics down 6.02%, and Prime Medicine down 11.58%.The related task was to search for noteworthy reverse transcriptase systems from large DNA databases. During approximately 21 hours of searching, about 950 Claude agents used around 210 million tokens, with one agent noticing a repetitive DNA sequence arranged near a certain reverse transcriptase gene. The team named this combination the array-associated reverse transcriptase system, primarily found in bacteriophages, which includes reverse transcriptase genes, adjacent accompanying genes, and a set of repetitive DNA sequences. The reverse transcriptase itself has been studied before, and the new finding is that it forms a system together with surrounding non-coding DNA sequences and functionally unknown accompanying proteins.Anthropic stated that researchers still do not know the main function of this system and have not proven that it can perform targeted modifications to DNA like mature gene editing tools. Preliminary experiments found that these repetitive sequences can produce various short RNAs, but this does not equate to having programmable gene editing capabilities. The preprint paper disclosed that to verify whether the discovery could be repeated, the team ran the same search 10 more times;

first_img Zhipu Tangjie filed a defamation complaint against Xiaohongshu, ZCode has been open-sourced for rectification

On September 21, netizen "Zhang Kangkang kk" revealed on social media that Tang Jie, the founder of Zhipu and a professor at Tsinghua University, filed a complaint on Xiaohongshu regarding a user post. The complaint stated that the post used phrases like "code is pretty much the same as copy, both start with c and steal code" without factual basis, fabricating rumors that Zhipu's ZCode was involved in code theft and plagiarism. It also used terms like "Uncle Tang Jie" to associate Tang Jie with the plagiarism rumors for character defamation, while utilizing AI technology to synthesize Tang Jie's image with anime materials in a defamatory context. The complainant believed the content constituted malicious defamation and commercial disparagement, damaging both Tang Jie's personal reputation and Zhipu AI's reputation, and requested the platform to take down the post and deal with the user who posted it.On the same day, Zhipu announced that it had completed rectifications regarding the safety issues of the independent desktop AI programming client ZCode in response to community feedback and apologized to all users. The company has open-sourced ZCode, handing over the code to community supervision, and will establish a regular product security vulnerability mechanism moving forward. Previously, developers discovered that ZCode had silently uploaded user local repository data without prior notice. On September 18, Zhipu publicly apologized and made an emergency fix, explaining that the root cause was the "repository indexing" feature, which was enabled by default and had no option to turn it off. On September 20, Taiyuan Chengming Technology Co., Ltd. sent a letter to Zhipu, accusing ZCode of unauthorized uploading of company data assets and trade secrets, making claims for rights protection and reserving the right to pursue legal responsibility.
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