黑客、暗网、毒品市场背后的俄罗斯服务商 Aeza Group 遭制裁

深潮2025-07-10 tarihinde yayınlandı2025-07-10 tarihinde güncellendi

梳理 Aeza Group 的背景与运作模式,并结合链上反洗钱与追踪工具 MistTrack 的分析以还原其在犯罪生态中的角色。

作者:Lisa&Liz

编辑:Liz

背景

近期,美国财政部外国资产控制办公室(OFAC) 宣布制裁总部位于俄罗斯的 Aeza Group 及其关联实体,理由是该公司为勒索软件和信息窃取工具提供托管服务。

黑客、暗网、毒品市场背后的俄罗斯服务商Aeza Group遭制裁

(https://home.treasury.gov/news/press-releases/sb0185)

此次制裁涵盖Aeza Group 及其英国前台公司 Aeza International Ltd.、两家俄罗斯子公司(Aeza Logistic LLC 和 Cloud Solutions LLC)、四名高管(CEO Arsenii Penzev、总监 Yurii Bozoyan、技术总监 Vladimir Gast 以及管理人 Igor Knyazev),以及一个加密钱包(TU4tDFRvcKhAZ1jdihojmBWZqvJhQCnJ4F)。

“网络犯罪分子仍严重依赖 Aeza Group 这样的防弹托管服务商,来发动破坏性勒索软件攻击、窃取美国技术并销售黑市毒品,”美国财政部负责反恐与金融情报的代理副部长 Bradley T. Smith 表示,“财政部将继续与英国及其他国际伙伴密切协作,坚定不移地揭示支撑这一犯罪生态的关键节点、基础设施与相关人员。”

这一制裁行动标志着国际执法机构正将打击重点从攻击者本身,延伸至其背后的技术基础设施和服务商。本文将梳理Aeza Group 的背景与运作模式,并结合链上反洗钱与追踪工具 MistTrack 的分析以还原其在犯罪生态中的角色。

Aeza Group 是谁?

黑客、暗网、毒品市场背后的俄罗斯服务商Aeza Group遭制裁

(https://www.pcmag.com/news/us-sanctions-russian-web-hosting-provider-aeza-for-fueling-malware)

Aeza Group 是一家总部位于俄罗斯圣彼得堡的防弹托管(BPH) 服务提供商,长期为勒索软件团伙、信息窃取工具(infostealers) 运营者以非法毒品交易平台等网络犯罪团伙提供专用服务器和匿名托管服务。

其客户包括:臭名昭著的信息窃取工具运营方如Lumma 和 Meduza,这些组织曾对美国国防工业基地和全球科技公司发动攻击;勒索软件与数据窃取团伙BianLian 和 RedLine;以及俄罗斯著名暗网毒品市场 Blacksprut。Aeza 不仅为 Blacksprut 提供托管服务,还参与其技术架构建设。根据 OFAC 披露,Blacksprut 被广泛用于芬太尼及其他合成毒品的全球分销,严重威胁公共安全。

MistTrack 分析

根据链上反洗钱与追踪平台 MistTrack 分析,被制裁地址(TU4tDFRvcKhAZ1jdihojmBWZqvJhQCnJ4F)自 2023 年开始活跃,已累计接收超过 35 万美元的 USDT。

黑客、暗网、毒品市场背后的俄罗斯服务商Aeza Group遭制裁

根据MistTrack 分析,该地址与以下对象存在交互:

  • 向多个知名交易平台/ OTC 转出资产,如 Cryptomus、WhiteBIT 等,用于资金清洗;

  • 与被制裁实体关联,如Garantex、Lumma;

  • 与在Telegram 推广的信息盗窃即服务平台(Stealer-as-a-Service) 关联;

  • 与暗网毒品市场Blacksprut 相关地址关联。

黑客、暗网、毒品市场背后的俄罗斯服务商Aeza Group遭制裁

据MistTrack 交易对手功能分析,该地址的交互对象占比如下:

黑客、暗网、毒品市场背后的俄罗斯服务商Aeza Group遭制裁

黑客、暗网、毒品市场背后的俄罗斯服务商Aeza Group遭制裁

此外,我们还发现在7 月 2 日,Aeza 的 Telegram 仍在活跃,管理员发布备用网址,以防用户无法顺利登陆主站点:

黑客、暗网、毒品市场背后的俄罗斯服务商Aeza Group遭制裁

经查询,这两个备用网址的创建时间刚好为 OFAC 宣布制裁Aeza 的当日。

黑客、暗网、毒品市场背后的俄罗斯服务商Aeza Group遭制裁

结语

对Aeza Group 的制裁表明,全球监管正在将打击目标从攻击者,延伸到其背后的技术服务网络。托管商、匿名通信工具、支付通道,正成为合规打击的新焦点。对企业、交易所、服务商而言,KYC / KYT 不再是“选做题”,如果不慎与高风险对象产生业务关联,则可能面临连带制裁风险。

İlgili Okumalar

Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

A mysterious anonymous AI model named "Ox Alpha," nicknamed "Cow is Coming" by Chinese netizens, has appeared on OpenRouter, sparking widespread speculation. The model offers a 1 million token context, supports text, image, and video inputs, can call tools, and is currently free. Its standout feature is strong coding ability. Initial tests on the DeepSWE benchmark, which evaluates real-world software engineering tasks, showed an 80% pass rate on a subset of tasks, reportedly nearing top-tier code models. However, follow-up tests yielded a 63% score, with variations attributed to different task sets and configurations. The model's true developer is a major topic of debate. The prevailing theory points to Zhipu AI's unreleased GLM-5.3 Flash or its multimodal variant. Evidence cited includes identical visual token consumption patterns with GLM-5V-Turbo for videos, a consistent offset in text token counts compared to GLM-5.3, and similar behavioral traits like refusing audio processing. Zhipu has a precedent of anonymous testing. Simultaneously, another anonymous model, "korrine," appeared on Code Arena, with guesses ranging from Moonshot's Kimi K3.1 to models from Qwen or MiMo, adding to the industry's guessing game. This trend of anonymous "undercover" testing allows for unbiased performance evaluation in platforms like Arena and provides real-world, high-pressure testing through tools like OpenRouter before official release. It also serves as an effective marketing tactic, prolonging discussion through suspense. If Ox Alpha is indeed a "Flash" model, its performance raises expectations for the full-scale version's potential.

marsbit2 saat önce

Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

marsbit2 saat önce

Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

DeepSeek has announced a significant change to its API pricing model, effective August 23. The new policy removes peak/off-peak distinctions on weekends (Saturdays and Sundays), charging the lower off-peak rate for the entire two-day period. This adjustment has sparked mixed reactions within the developer and professional communities. For developers and businesses heavily reliant on DeepSeek's V4-Flash and V4-Pro APIs, this is welcome news. It allows them to schedule bulk processing tasks on weekends without the higher peak-hour costs, potentially halving their API bills for such workloads. Some users have celebrated the move for making weekend work more cost-effective. However, the announcement has also raised concerns among employees. There is apprehension that companies, particularly in cost-sensitive sectors like AI-powered short drama production, might reorganize work schedules to align with these new cost incentives. Instances are already emerging where teams schedule high-token tasks during cheaper nighttime hours or adjust staff shifts. This has led to worries about a potential shift towards weekend workdays and weekday time-off, prioritizing cost savings over traditional work-life balance. Debate has ensued regarding the practicality of such schedule changes, with questions about increased communication overhead and overall efficiency. Speculation about DeepSeek's motives for the change includes theories that peak pricing correlates with internal model training schedules, though others counter that training is largely automated. The new pricing structure is now in effect, prompting users to reconsider their task scheduling strategies.

marsbit3 saat önce

Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

marsbit3 saat önce

Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

Just now, the world's first human vs. robot tennis match began, featuring stunning robotic saves that left tennis star Zheng Jie in awe. This historic event, part of the second World Humanoid Robot Games and broadcast live globally by China Media Group, marked a pivotal moment in Chinese technological innovation and embodied artificial intelligence. The match featured both mixed human-robot doubles and a groundbreaking singles match between Zheng Jie and the "Galaxy Xingzai" humanoid robot developed by Galaxy General. The robot demonstrated impressive skills including serving, forehands, backhands, and strategic court movement, with serves exceeding 100 km/h. It exhibited remarkable adaptability, recovering from a fall to continue play and handling slices and spins. The doubles match highlighted its ability to coordinate dynamically with a human partner. The event's significance extends far beyond a novelty match. Tennis represents an ultimate pressure test for embodied AI, demanding real-time integration of perception, decision-making, full-body motion control, and live博弈 within fractions of a second—a stark contrast to the discrete, contemplative environment of board games like Go mastered by AlphaGo. It directly confronts Moravec's paradox, showcasing AI's move from digital cognition to physical execution. This capability is powered by Galaxy General's proprietary "Galaxy Star Brain" (AstraBrain) model. Its key innovation is a unified architecture that integrates high-level task understanding/tactical decision-making ("brain") and dynamic whole-body motion control ("cerebellum") into a single model, eliminating latency and information loss between separate modules. The model was trained using a two-step process via the "Galaxy Star Workshop" platform. First, it learned foundational movement priors from "imperfect" human motion data (both amateur and professional). Second, it underwent massive-scale evolution in a virtual tennis simulator where multiple AI agents played millions of games against each other. Through this adversarial training, skills like极限救球and recovery from falls emerged autonomously without explicit programming, before being transferred to the physical robot. This "AstraTennis" moment symbolizes a major leap: a decade after AlphaGo conquered the digital world, embodied AI from China has now demonstrated it can operate under the extreme, unpredictable physical pressures of real-world competition.

marsbit3 saat önce

Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

marsbit3 saat önce

İşlemler

Spot
活动图片