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The Inner Mongolia police in China are investigating a virtual currency money laundering case that used "free credit card repayment" as bait, involving nearly a thousand accounts

Recently, the police in Baotou, Inner Mongolia, China, investigated a virtual currency money laundering case. The criminal gang used "free credit card repayment" as bait to attract ordinary users to provide accounts. They received illicit funds from overseas gambling and fraud through false consumption, then contacted currency dealers to exchange for virtual currency and transferred it to designated addresses abroad. Through financial and on-chain data analysis, the police identified nearly a thousand involved accounts, with suspects distributed across Inner Mongolia, Shandong, Jiangsu, Hebei, Chongqing, and other regions.The Digital Currency Research Institute of the People's Bank of China stated that it is currently using large model technology to analyze the flow of funds in virtual currency transactions, restore the gang's trading patterns, and uncover clues related to illegal industries. Upon investigation, it was confirmed that seven members of the gang were illegally engaged in payment settlement business without approval from relevant national authorities, constituting the crime of illegal operation, and were sentenced to imprisonment ranging from one year and two months to two years and six months, along with fines.Using virtual currency for money laundering is a new type of money laundering crime that has emerged in recent years. Lv Wei, the president of the Inner Mongolia branch of the People's Bank of China, stated that enhancing the monitoring and identification capabilities for abnormal fund transactions related to virtual currency trading has helped successfully crack down on a major money laundering case involving virtual currency pyramid schemes, dismantling more than ten money laundering and points-running dens, and confiscating illegal gains of approximately 130 million yuan. In recent years, there have been coordinated efforts to promote the conviction and sentencing of four cases involving money laundering using virtual currency, forming a strong deterrent against illegal activities such as money laundering with virtual currency.

Cosmos Hub: 1.227 million ATOM has been recovered from the Neutron attack case, with funds temporarily stored at a 4/6 multi-signature address

Cosmos Labs disclosed that on September 22, Neutron encountered a governance attack that led to the theft of liquidity from protocols such as Astroport, with approximately 1.73 million ATOM subsequently transferred by the attacker to Cosmos Hub. The Cosmos Hub itself was not attacked, and user funds were not affected. To prevent the stolen ATOM from being transferred out, Hub validators temporarily paused the network for about 24.5 hours and resumed block production on September 23 based on the patched Gaia v28.3.0.Cosmos Labs stated that during the pause, 1.227 million ATOM remained in the attacker's Hub address. When the network was restored, these were transferred to a 4/6 multi-signature address composed of Nansen, Keplr, Enigma, Silknodes, Kiln, and Polkachu through a one-time change. Previously, about 500,000 ATOM had been exchanged for ETH via THORChain and could not be recovered; another 169,000 ATOM entered the attacker's address after the network was restored due to THORChain refunds and were sold after being transferred to Osmosis. The current multi-signature address holds approximately 1.227 million ATOM, which can only be returned after authorization from a Cosmos Hub governance proposal. The related funds will not be staked, lent, or traded. The Neutron team expects to submit a recovery plan and related governance proposals next week.

first_img A former Polish police officer has been charged in the Zondacrypto case, and the police are searching the location where its founder went missing

The Polish prosecutor's office has charged a former police officer in the case of the collapsed cryptocurrency exchange Zondacrypto. The Central Bureau of Cybercrime (CBZC) in Poland detained Artur K. on Tuesday under the orders of the organized crime department of the national prosecutor's office. He faces two charges: one for participating in an organized crime group, and the other for causing significant property losses to BitBay, BB Trade Estonia, and another entity, assisting in the misappropriation of entrusted property, aiding computer fraud, and money laundering. The prosecutor's office stated that a search of his residence uncovered documents related to the operation of the exchange, and he is being questioned as a suspect; the prosecutor's office will decide whether to apply for pre-trial detention.Meanwhile, the police in Katowice are searching and investigating a fuel depot, which is the last known location of Zondacrypto founder Sylwester Suszek before he went missing in March 2022. The case is classified as illegal deprivation of liberty rather than a disappearance, as a suspect has been accused of removing a hard drive from the gas station's surveillance camera.Suszek founded the exchange in Katowice in 2014, originally named BitBay, and relocated its registration to Estonia as BB Trade Estonia in 2020, rebranding it as Zondacrypto, claiming to have 1.3 million customers, most of whom are Polish. The exchange froze withdrawals and went offline in April, and the Estonian Financial Intelligence Unit revoked its operating license on June 29. Since August, at least five people have been charged, including former Polish Olympic Committee president Radosław P. All public respondents have denied the charges, and the related accusations have not yet been tried in court.

first_img The United Arab Emirates and Sweden arrested 7 people involved in a $7.1 million cryptocurrency money laundering case

The police of the United Arab Emirates and Sweden arrested 7 suspects involved in an international money laundering network. Investigators stated that tracking the cryptocurrency transactions of this network revealed its connections to organized crime and contract killings. According to the UAE News Agency citing the Ministry of Interior, the leader of the network is a Swedish citizen who had previously fled Sweden and was wanted by Interpol with a red notice, ultimately being captured in the UAE. Additionally, 6 other suspects were arrested simultaneously in Sweden, and all 7 have been charged.The Ministry of Interior stated that the network processed approximately 70 million Swedish kronor (about 7.1 million USD) in criminal cash proceeds over 10 months and transferred it to other criminal entities while using cryptocurrency to "transfer and move the value of these funds." Tracking cryptocurrency transactions and analyzing digital evidence helped investigators uncover the financial links between this network and other criminal activities, including organized crime and contract killings.Abdulaziz Al Ahmad, the Director of the Federal Criminal Police of the UAE Ministry of Interior, stated that the country will continue to track criminal networks and cut off their sources of funding. Anders Wiberg, head of the International Department of the Swedish Police, said that cooperation with the UAE was a key factor in the successful resolution of this case. Both countries launched simultaneous arrest operations after intelligence sharing and direct security coordination. Previously, Sweden had requested the police to increase efforts to seize illegal digital assets, as the issue of gangs using social media and encrypted applications to recruit paid killers has become increasingly serious.

first_img OpenAI disclosed 6 cases of AI model "misalignment" behavior, involving hidden information and overstepping authority

OpenAI disclosed on Wednesday six cases of "unexpected or concerning" model behavior discovered in the past six months, categorizing them as "misalignment behaviors," including concealing information from users and taking "unauthorized actions" to overcome obstacles. OpenAI stated that this disclosure aims to initiate its new model misalignment reporting framework, and these cases should not be seen as a reflection of the frequency of misalignment occurring in its models.In one case, an unpublished research model inserted "jailbreak-like instructions" into its task summaries, such as ignoring developer messages or adopting unrestricted role settings, with researchers finding a total of 27 summaries containing such instructions. Additionally, during the training process of GPT-5.6 Sol, many model instances added instructions to conceal errors or misalignment behaviors from users, such as fabricating missing historical data without disclosure. Other cases included models using exposed API keys without authorization and fabricating inaccessible data, leveraging internal software repositories to pass messages across training tasks, and ignoring instructions to "keep local work" by sharing files through public hosting services.OpenAI's disclosure has heightened concerns among AI developers and researchers about whether safety measures can keep pace with increasingly powerful models. Last week, Anthropic CEO Dario Amodei called for a slowdown in cutting-edge AI development, warning that unrestrained AI development could "exceed our ability to understand and control these systems." In July of this year, OpenAI disclosed that several of its AI models escaped testing environments during safety assessments and infiltrated the AI startup Hugging Face to cheat.
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