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New AI cybercrime tool breaches banking KYC systems using advanced deepfake technology

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4 months ago

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According to data published by Dark Web Informer, the actor Jinkusu is marketing an AI cybercrime tool capable of compromising security in 200,000 fraud cases via deepfakes. This fraudulent kit allows bypassing identity verification protocols on financial platforms, marking a critical turning point in protecting today’s global digital assets efficiently.

The system employs cutting-edge technology to perform real-time face swaps with alarming precision and speed. By integrating tools such as InsightFace, attackers achieve fluid gesture transfers that effectively deceive traditional biometrics in real-time. Since these methods evolve rapidly, trust in remote identification processes is currently under an unprecedented technical threat within the global financial infrastructure.

Jinkusu’s sophistication redefines global synthetic identity fraud

Unlike conventional impersonation methods, Jinkusu utilizes sophisticated voice modulation algorithms to personify legitimate users. This capability allows cybercriminals to bypass auditory security layers in banking institutions, generating a structural vulnerability in modern financial systems today. Despite regulatory efforts, the accessibility of these tools democratizes organized crime on a massive and dangerous scale.

Deddy Lavid, an executive at a leading platform in the blockchain sector, warns about the ecosystem’s systemic shortcomings. The expert points out that artificial intelligence drastically lowers barriers to synthetic identity fraud, making the platforms’ front doors a critical failure point. Therefore, it is imperative to adopt a layered security approach that combines verification with proactive monitoring.

Technical analysis performed by Vecert Analyzer reveals a worrying tactical transition compared to previous cycles. While 2022 attacks focused on basic phishing, in 2026 we observe a complete automation of social engineering through deep neural networks globally. This metamorphosis of the attack vector suggests that static defense methods have become obsolete against these dynamic adversaries.

How does artificial intelligence alter the current cryptographic security landscape?

Investors faced historical losses worth 5.5 billion dollars during the last fiscal year alone. These data, linked to psychological manipulation schemes, demonstrate the lethal effectiveness of combining social engineering and technology advanced artificial. Since the software does not require deep technical knowledge, the volume of potential attacks could scale exponentially during the current financial economic cycle.

The same actor, Jinkusu, has been previously linked to the launch of the dangerous Starkiller phishing kit. This malware uses a headless Chrome browser inside a Docker container, allowing to intercept credentials through a real-time reverse proxy invisibly. Although total losses from traditional attacks recently decreased, AI cybercrime keeps the alert level at maximum throughout the global markets.

The evolution of these AI cybercrime tools suggests that visual validation no longer guarantees authenticity. The use of reverse proxies and automated browsers allows attackers to replicate legitimate sessions with fidelity that current firewalls cannot detect. However, cybersecurity companies are already working on AI-based anomaly detection models to counter this growing criminal trend.

The future of security in the cryptographic environment will depend exclusively on the integration of autonomous defenses. Platforms must implement systems that not only verify the static image but also analyze behavioral patterns and network metadata suspiciously and continuously. Proactive surveillance and the constant updating of biometric detection engines will be the pillars of digital resistance moving forward.

The post New AI cybercrime tool breaches banking KYC systems using advanced deepfake technology appeared first on The Cryptocurrency Post.

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Aptos launches Confidential APT with encrypted balances on mainnet

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1 week ago

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August 6, 2026

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Aptos said Confidential APT is now live on mainnet, bringing opt-in encrypted balances to the network while keeping wallet addresses visible. The feature is positioned for compliant use cases including payroll, treasury and business-to-business settlement.https://twitter.com/Aptos/status/2084481961553445096

The Aptos account said transactions are verified with zero-knowledge proofs, allowing the network to confirm that transfers are valid without exposing the underlying amounts. The update is meant for users who want confidentiality for specific transfers rather than full anonymity across the network.

A separate governance page tied to the rollout shows the proposal as executed, matching Aptos’ public statement that the feature has been enabled on mainnet. The material linked from that page describes Confidential APT as part of Aptos’ on-chain privacy features.

How the feature is framed on Aptos

According to Aptos, Confidential APT is opt-in, so users can still use standard transparent transfers if they prefer. The company’s framing focuses on enterprise and institutional settings where transaction amounts may need to be hidden while counterparties remain identifiable.

The launch adds a privacy layer at the transaction level, but it does not by itself indicate broader usage or adoption. It does, however, give Aptos a live mainnet mechanism for hiding balances on selected transfers.

The post Aptos launches Confidential APT with encrypted balances on mainnet appeared first on The Cryptocurrency Post.

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NEAR says Machine Payments Protocol now uses NEAR Intents for agent settlements

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1 week ago

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August 6, 2026

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NEAR Protocol said the Machine Payments Protocol (MPP) from Stripe and Tempo now integrates with NEAR Intents, allowing agents on MPP to settle across more than 30 chains using NEAR infrastructure.

The update was shared by NEAR Protocol on X, where the team described the integration as live and pointed readers to public SDK and documentation for the payment method. The announcement frames NEAR Intents as part of the settlement layer for agent payments rather than as a standalone consumer product.

Settlement across multiple chains

According to the post, the integration gives any agent using MPP a way to settle payments across 30-plus chains. The announcement did not add further technical detail in the post itself, but it did direct users to the public documentation for the NEAR payment method.

MPP, or Machine Payments Protocol, is designed for programmatic payments between software agents and services. In this case, NEAR is presenting Intents as the mechanism that helps route those settlements across chains through its infrastructure.

The timing and scope of the change were stated by NEAR Protocol itself, which makes the integration the central confirmed development. The announcement did not include a broader rollout timeline, usage data or terms for availability beyond the public SDK and docs link.

What NEAR is highlighting

The key change is not a new token feature or a market-facing launch, but a payment-routing integration aimed at agent settlements. That places NEAR Intents inside an emerging category of machine-to-machine payment infrastructure, where the practical value depends on whether developers adopt it for real transactions.

For now, the confirmed claim is narrower: NEAR says MPP can now use its Intents system for cross-chain settlement, and the public documentation is available for developers who want to build around it.

The post NEAR says Machine Payments Protocol now uses NEAR Intents for agent settlements appeared first on The Cryptocurrency Post.

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NEAR AI says IronClaw 1.0 is now deployed as part of July shipments

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1 week ago

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August 4, 2026

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NEAR Protocol said its July shipments included NEAR staking for NEAR AI compute going live and the launch of IronClaw 1.0 on mainnet, marking a new step in the project’s AI and agent-related rollout. In a blog post announcing IronClaw 1.0, NEAR AI said the release is deployed across NEAR Foundation and NEAR AI.

The official recap also grouped the updates with broader AI and agent infrastructure changes, suggesting the deployments were part of a wider set of July deliveries rather than a standalone launch. That framing matters for readers tracking the project’s product pace: the post presents staking and IronClaw as live components, not as plans or test-stage features.

What NEAR said changed

According to the recap shared by NEAR Protocol, NEAR staking for NEAR AI compute is now live. The same update says IronClaw 1.0 has launched on mainnet, adding an additional deployment milestone to the project’s AI stack.

A separate post from a member of the project community also pointed to staking mechanics for NEAR AI compute and IronClaw hosting, but the clearest public confirmation in the material comes from NEAR’s own recap and the IronClaw 1.0 announcement.

The available information does not spell out all operational details of the deployments in one place, but it does make one thing clear: NEAR is presenting both the compute staking component and IronClaw 1.0 as active releases rather than future roadmap items.

The post NEAR AI says IronClaw 1.0 is now deployed as part of July shipments appeared first on The Cryptocurrency Post.

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