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Revolut Exposed KYC Data After Fraudulent Government Email Passed Security Checks

Revolut handed over KYC documents, selfies, and Bitcoin transaction histories to attackers after a fraudulent email from a genuine government domain passed authentication checks.

Revolut confirmed on September 12, 2026 that it disclosed sensitive customer KYC data to an unauthorized third party after a fraudulent information request was sent from an email account operating inside a real government agency's domain, carrying valid domain authentication credentials. The exposed data included identity documents (passports, driver's licenses), verification selfies, birth dates, contact details, IBANs, account statements, and full transaction histories including Bitcoin. Revolut discovered the fraud only after independently verifying with the agency, blocked the sender, and notified law enforcement and financial regulators, but did not disclose the number of affected customers or the agency involved. Researcher ZachXBT assessed the operation was targeted at high-net-worth users, useful for fraud, impersonation, or extortion.

Security Affairs · 3d agoData breach

Revolut handed customer data to fraudsters using government email account

Revolut handed sensitive KYC data of high-net-worth crypto customers to fraudsters submitting fake emergency data requests from a compromised government email domain.

Revolut confirmed it disclosed sensitive customer data—including passport and driver's license copies, verification selfies, bank statements, IBANs, and Bitcoin transaction histories—to attackers who submitted fraudulent emergency data requests from a legitimate government agency email account, apparently an Italian domain. Targets were high-net-worth individuals involved in crypto, including Marc Karpelès and entrepreneur Marc Zeller. A Telegram account claiming responsibility posted stolen data as proof and demanded an extortion payment; the account has since been suspended. Revolut says only a limited number of customers were affected and has alerted the relevant government agency, law enforcement, and regulators. The technique mirrors 2021-2022 Lapsus$-linked fraudulent emergency data request scams against Apple, Meta, and Discord.

The Record · 1d agoData breach

Revolut Data Breach Via Fake Government Requests – What We Know So Far

Revolut confirmed attackers extracted customer KYC records by sending fraudulent data requests from a spoofed or compromised government agency email domain.

Revolut confirmed a data breach in which an unauthorized party obtained sensitive customer records by submitting fraudulent information requests from an email account on a legitimate government agency domain with valid SPF/DKIM/DMARC authentication. Disclosed data could include full names, dates of birth, passport or driving-license copies, onboarding facial images, IBANs, account statements, withdrawal records, and complete transaction histories including Bitcoin activity. Crypto investigator ZachXBT assessed the operation targeted high-net-worth users, while a threat actor using the name 'IAmNotAVillain' claimed Italian law-enforcement departments were compromised over six months with 147 GB of material, claims that remain unverified. Revolut says only a limited number of customers were affected, blocked the email address, and notified regulators and affected customers, stating its systems and funds were not compromised.

Cyber Security News · 1d agoData breach

18 ways to check whether data can be trusted for AI

ETSI published TR 104 180 defining 18 data quality metrics, including fairness and privacy, to assess whether datasets are fit for AI.

ETSI's technical report TR 104 180 defines 18 metrics across four groups - intrinsic quality, usability and lineage, fairness, and privacy - each with calculation formulas, plus an open-source tool that scores datasets. Testing on an aircraft engine sensor dataset and a US census dataset revealed a roughly threefold gender gap in high earners (about 31% of men versus 11% of women) and two privacy failures: re-identification via age, race, sex, and country, and sensitive fields stored in plaintext. The working group included Sejong University, EGM, TTA, Daejeon University, and CNIT.

Help Net Security · 9d agoAI policy

Revolut Data Breach Exposes Customers’ Passport Copies and Full Transaction Histories to Hackers

Revolut leaked KYC documents and full transaction histories after a fraudulent, domain-authenticated email request impersonating a government agency.

Revolut disclosed that an attacker using an unauthorized email account on a legitimate government domain, with valid domain-authentication credentials, tricked the fintech into releasing customer data. The exposed data includes passport and driver's license copies, identity-verification selfies, full names, dates of birth, addresses, IBANs, and complete transaction histories including Bitcoin activity. Revolut says core systems, accounts, and funds were not compromised, and it blocked the email source and notified authorities. On-chain investigator ZachXBT and others indicated the operation targeted high-net-worth users facing elevated phishing, SIM-swap, and extortion risk.

Cyber Security News · 3d agoData breach3· 1 read

What the Data Says About AI in Security Operations in 2026

Prophet Security's 2026 survey of 250+ security pros: 40% use AI daily; AI users report 25%+ faster investigations and rising AI-driven attacks.

Prophet Security's State of AI in Security Operations 2026 report, based on a survey of 250+ cybersecurity professionals, found 40% of security teams use AI daily and only 4% have no adoption plans. Teams average 100 daily alerts (up to 1,000 at large firms), leave 28% of alerts uninvestigated, and 60% of respondents said missed alerts led to breaches or downtime. Among AI adopters, 72% report at least 25% faster investigations, 56% observed increased AI-driven attacks, and no respondents grant AI full unsupervised autonomy. Data privacy (44%) and explainability (41%) top the adoption hurdles.

The Hacker News · 19d agoIndustry

Latvian officials resign after cyberattack exposes data on 1.2 million people

Latvia's road traffic agency CSDD confirmed a breach exposing data on 1.2 million people and 200,000 businesses, prompting leadership resignations.

Latvia's Road Traffic Safety Directorate (CSDD) said hackers accessed payment receipt data dating back to 2008, covering over 1.2 million people and 200,000 legal entities, about two-thirds of Latvia's population. Stolen data includes personal ID numbers, license plates, payment amounts and addresses; phone numbers, emails and passwords were not affected. CERT.LV said attackers exploited a vulnerability in an internet-exposed CSDD system, and President Edgars Rinkevics called the breach a significant national security threat. The supervisory board resigned and chief Aivars Aksenoks said he will leave; state police opened criminal proceedings while responsibility with IT contractor Tet is disputed.

The Record · 27d agoData breach

Massive Vietnam-Linked APIS Database Exposes Passport and Flight Data

Exposed Vietnam-linked APIS database held 220.8 million passenger and crew records with passport and flight data from January 2017 to April 2026.

Kinryū Labs discovered an exposed Elasticsearch cluster named 'pax-info' containing 220.8 million passenger and crew records, about 107 GB across 29 indices, hosted on IP space assigned to Viettel in Hanoi. The records include names, birth dates, nationalities, passport numbers, and detailed flight information from airlines across Asia-Pacific, Europe and the Middle East. Researchers reported the exposure on June 3 and the database was secured by June 8 with Singapore Airlines coordinating; no evidence of theft was found, but missing server logs mean access cannot be ruled out.

Security Affairs · 8d agoData breach

TasmScan: Continuation-Aware Taint Analysis for TVM Bytecode with Savelist Abstraction

TasmScan introduces source-free taint analysis for TON smart-contract bytecode, detecting 95.3% of defects with 96.8% precision and 17x speedup.

TasmScan is the first bytecode-level static analysis framework for the TON Virtual Machine, enabling cross-continuation data flow reasoning without source code by modeling savelist semantics through forward register analysis with formal over-approximation guarantees. It lifts bytecode into a typed intermediate representation (TASIR) and performs path-sensitive taint analysis. On a 208-contract benchmark with human-confirmed ground truth it detects 95.3% of defects across five classes at 96.8% precision, and resolves 294,546 dynamic continuation targets with 100% precision across 2,921 registry contracts. It achieves a 17x median speedup over symbolic-execution baselines.

arXiv cs.CR · 1d agoResearch

Revolut discloses data breach exposing financial info, passports

Revolut disclosed a breach after a threat actor spoofing a government agency's email domain obtained customer passports, selfies, IBANs, and full transaction histories.

Revolut told affected customers that a threat actor sent a data request from an unauthorized email account on an official government agency's domain, carrying valid domain authentication credentials, and staff fulfilled it believing it legitimate. Exposed data includes identity details, contact information, passport and driver's license copies, KYC facial verification selfies, IBANs, withdrawal records, and full transaction histories including Bitcoin. Revolut calls the number of affected customers 'very limited' but refuses to give exact figures, while ZachXBT says high-net-worth users appear targeted. This follows a 2022 Revolut breach affecting 50,150 customers.

BleepingComputer · 2d agoData breach1· 1 read

Rare Not Random Using Token Efficiency for Secrets Scanning

Researcher proposes token efficiency (string length divided by BPE token count) as a better post-regex filter than entropy for secrets scanning, validated on CredData.

The post explores whether Byte-Pair Encoding tokenization can replace Shannon entropy as the primary filter for candidate secrets captured by regex in tools like Gitleaks. It defines 'token efficiency' as string length divided by token count under the cl100k_base tokenizer; secret-like strings such as GitHub tokens tokenize into many small tokens and score low, while natural text scores high. Evaluating labeled secrets from the CredData dataset shows a usable separation, with roughly 2.5 suggested as a minimum cutoff versus Gitleaks' 3.5 entropy threshold. The technique is positioned as a post-regex filtering step rather than a standalone detector.

Lobsters · security · 4d agoResearch

How Far Can Synthetic Data Take Thai OCR?

Synthetic-only training adapts PaddleOCR-VL into Wayu-Paxa-OCR-Zero, cutting Thai printed-page CER from 6.64% to 1.24% without real labels.

The study disentangles which factors of synthetic OCR data transfer to real Thai documents, finding typeface diversity, 2D structure, and real handwriting glyphs matter most. Using 45,723 synthetic pages, the authors adapt the 0.9B-parameter PaddleOCR-VL-1.6 into Wayu-Paxa-OCR-Zero, reducing median CER from 6.64% to 1.24% on printed pages and from 74.87% to 20.55% on handwriting. The model outperforms Typhoon OCR v1 7B on all five evaluation sets.

Hugging Face daily papers · 13d agoAI research

Accountability in Certificate Transparency and Variants

Formal Dolev-Yao analysis shows plain Certificate Transparency requires an honest log, SCT Auditing removes that assumption, and Gossiping does not.

The paper analyzes accountability in Certificate Transparency and its SCT Auditing and Gossiping extensions in the Dolev-Yao model, starting from a vanilla PKI. It finds plain CT provides accountability only under the assumption of an honest log. The SCT Auditing extension can eliminate that assumption, while the Gossiping extension cannot. CT is supported by all major browsers and obliges Certificate Authorities to record issued certificates in public, monitored logs.

arXiv cs.CR · 5d agoResearch

Securing Data in the AI era

Wiz published guidance arguing AI adoption reshapes data risk, urging teams to identify what data is connected to AI services and exposed.

Wiz published a viewpoint on how AI adoption changes the context of data risk. The post argues that understanding what data is connected to AI systems, what is exposed, and why is now critical for managing that risk. No specific incident, vulnerability, or product release is described in the available text.

Wiz Blog · Aug 14, 2026Industry

Personal Info Possibly Compromised at Japan’s Digital Agency

Japan's Digital Agency says unauthorized access to a network system may have compromised personal data of about 246,000 government employees.

Japan's Digital Agency reported that approximately 246,000 sets of personal information, including names and email addresses of government employees, may have been compromised through unauthorized access to a network system operated by the agency. The agency said no secondary damage, such as misuse of the potentially breached data, has been identified so far.

DataBreaches.net · 4d agoData breach

220 million traveler records exposed in Vietnam-linked APIS leak

Vietnam-linked APIS Elasticsearch leak exposed 220 million passenger and crew records with passport numbers and flight details spanning 2017 to 2026.

Kinryū Labs discovered an exposed Elasticsearch cluster named 'pax-info' holding 210,318,069 passenger records and 10,465,631 crew records (roughly 107 GB across 29 indices) hosted in Viettel-assigned IP space in Hanoi. The database, apparently operated by a Vietnamese organization, was reachable via a chain of two misconfigurations: a cloud-based path that bypassed an HTTP 401 block and acceptance of default credentials. Exposed data included names, dates of birth, nationalities, passport numbers, and detailed flight information for travelers of many nationalities from January 2017 to April 2026. Access was remediated on June 8 after Kinryū Labs notified Vietnamese authorities, airlines, and CERTs, with Singapore Airlines' security team helping coordinate the response; it remains unknown whether any data was copied by malicious actors.

BleepingComputer · 8d agoData breach1

Protecting Tokens and Assertions from Forgery, Theft, and Misuse: Implementation Recommendations for Agencies and Cloud Service Providers

NIST and CISA publish final interagency report with implementation guidance for protecting tokens and assertions from forgery and misuse.

CISA released a final NIST/CISA interagency report guiding federal agencies and cloud service providers on protecting identity assertions, access tokens, and cryptographic mechanisms underlying modern authentication and authorization. It addresses forgery, theft, and misuse of signed tokens that adversaries use for lateral movement and data access in hybrid and multi-cloud, SSO, federation, and API-based environments. The final version updates token validation, secrets management, and detection-at-scale guidance gathered via the Joint Cyber Defense Collaborative, and supports Executive Order 14306 and Secure by Design principles.

CISA Advisories · 23h agoAdvisory

Electronic health record company CareCloud says 3.7 million people affected by breach

Healthcare software firm CareCloud reported a breach affecting 3,756,469 people after a hacker spent eight hours in an AWS EHR environment.

CareCloud disclosed to HHS that a hacker accessed one of its AWS environments from March 10 to March 16 and exfiltrated data within an eight-hour window in its electronic health record environment. Stolen data includes Social Security numbers, ID numbers, credit and debit card details, medical information, and insurance data. The company serves more than 45,000 providers and reported the incident to the SEC on March 24. No hacking group has claimed responsibility.

The Record · 27d agoData breach in the wild

US and Canadian court data exposed in Thomson Reuters breach

Thomson Reuters disclosed a breach of its C-Track court platform exposing sealed court records and personal data across 12+ US states and Canada.

Thomson Reuters disclosed that an unauthorized party obtained files from C-Track, its court case management platform, affecting courts in at least 12 US states, the US Virgin Islands and Canada. The company discovered the activity on June 30 and evidence indicates access ran from March through June; the intrusion method, attacker identity and number of affected people remain unknown. Exposed data may include names, Social Security numbers, driver's license numbers, medical information, dates of birth and health insurance details, including some sealed or redacted court records. Affected individuals are being offered 12 months of free credit monitoring and identity theft protection.

The Record · 12d agoData breach in the wild 2 sources

E-Commerce Access, Vedicline Data, Langflow RCE, ASUS Claim, and Energy Shell Access

SOCRadar reports underground posts claiming a Bangladeshi e-commerce database, Vedicline data leak, Langflow RCE, ASUS breach, and energy-sector shell access.

SOCRadar's Dark Web Team identified several new underground posts, including an alleged Bangladeshi e-commerce customer database offered for sale. The roundup also covers a claimed Vedicline data leak, Langflow remote code execution, an ASUS breach claim, and energy-sector shell access sales. Details on record counts and victims were not provided in the excerpt.

SOCRadar · 9d agoData breach

Security Data Isn’t the Problem. Security Context Is.

Horizon3 blog argues security context, not data volume, is the SOC bottleneck, promoting its NodeZero integration with CrowdStrike Falcon Next-Gen SIEM.

Horizon3.ai published a vendor blog explaining how its NodeZero Proactive Security Platform integration with CrowdStrike Falcon Next-Gen SIEM brings validated exposure findings into existing security operations workflows. The post argues SOCs are now limited by confidence rather than visibility, needing context to decide which issues matter. It cites a global chemical manufacturer that validated exploitable exposures with NodeZero before completing a $2 billion merger.

Horizon3.ai · 21h agoTools

Topological Fraud Detection in Latent Transaction Spaces

Researchers present a privacy-preserving fraud detection method combining unsupervised filtering and supervised classification on anonymized transaction embeddings for low-latency triage.

The paper describes fraud detection performed entirely on topologically anonymized transaction embeddings. It iterates unsupervised filtering followed by supervised classification ('sniping') to flag suspicious activity. The goal is ultra-low-latency, privacy-preserving triage for institutions without exposing personally identifiable information.

arXiv cs.CR · 8d agoResearch

Heterogeneous Cross-Chain Transaction Tracing for Solana Bridges via Candidate-Set Selective Decision

SolTracer traces cross-chain transactions onto Solana bridges, improving open-world association F1 by 20.16% over the strongest baseline for illicit-fund tracing.

The paper formalizes four Solana-bound cross-chain transaction modes and proposes SolTracer, which maps heterogeneous execution semantics into a unified event space and uses candidate-set selective decision-making with abstention when valid targets are absent. In the challenging open-world setting with a 50% TA ratio, SolTracer improves F1 by 20.16% over the strongest baseline. An empirical study of real-world transfers examines count-value divergence across bridge mechanisms, cross-asset shifts, and decoupling between on-chain settlement and explorer visibility.

arXiv cs.CR · 5d agoResearch

Revolut confirms customer data breach, falling for fake government requests

Revolut confirmed a breach of sensitive customer data after complying with forged government information requests.

Revolut confirmed that sensitive customer data was exposed after the fintech fell for fake government data requests, Reuters reported. The incident is a form of legal-process fraud in which attackers impersonate law-enforcement or government agencies to trick compliance teams into disclosing user data. The number of affected customers and specific data types were not detailed in the available text.

Hacker News · securityupdated · 1d agofirst · 3d agoData breach 3 sourcesHN 20↑ · 2 comments

On Identifying Sound Conditions for Frontrunning Resistance

Researchers formally define smart-contract frontrunning resistance, showing 55% of 393 audited vulnerabilities escape state-of-the-art detection, and find two undisclosed Ethereum flaws.

The paper gives the first formal definition of frontrunning vulnerability for smart contracts, grounded in how honest users interact with contracts rather than contract code alone. In a large-scale study of 287 smart contract audits, 55% of the 393 vulnerabilities reported by leading auditors fall outside the scope of state-of-the-art dynamic detection criteria. The authors present a sound algorithm for synthesizing secure interaction conditions and apply it to real-world contracts, uncovering previously undiscovered vulnerabilities in two Ethereum contracts.

arXiv cs.CR · 5d agoResearch

Hackers Expose Data of 1.2 Million Heights Finance Customers

Heights Finance is notifying over 1.2 million customers that hackers accessed a third-party cloud platform holding contact, bank and government ID data.

Heights Finance, a U.S. consumer lender, discovered unauthorized access on May 7, 2026 to a third-party cloud platform used to store customer data; its internal loan management systems and operations were not affected. Exposed data varies by person and may include contact details, financial and bank account information, government IDs and dates of birth for customers, loan applicants, inquirers, and former borrowers of Curo Management and related brands. The company is offering 24 months of free credit monitoring and identity protection; dark web monitoring found no evidence of publication and no threat actor has claimed responsibility.

Security Affairs · 28d agoData breach in the wild

Towards Scalable and Cost-Efficient Vulnerability Detection: A Study on Automatic Query Generation

A study finds LLM-synthesized CodeQL queries improve average F1-score by 82% over baseline queries, offering scalable vulnerability detection versus direct LLM scanning.

Researchers conducted an empirical study evaluating whether LLMs can synthesize executable CodeQL queries from National Vulnerability Database vulnerability data. LLM-generated queries significantly enhanced baseline CodeQL suites, yielding an 82% improvement in average F1-score across a diverse set of real-world vulnerabilities. A cost-benefit analysis shows direct LLM-based scanning of entire repositories is often computationally and financially prohibitive, while LLM query synthesis offers a scalable and cost-effective alternative for large-scale vulnerability detection.

arXiv cs.CR · 6d agoResearch1

Health data of more than 9.5 million people leaked from Aesto record system

Health data firm Aesto reported a breach affecting over 9.5 million people after hackers accessed its AWS infrastructure between December 2 and 18.

Alabama-based healthcare data company Aesto notified the Department of Health and Human Services that more than 9.5 million people had sensitive information leaked in a December cyberattack, after previously warning customers in June without disclosing scope. Attackers broke into the company's Amazon Web Services infrastructure between December 2 and December 18, stealing names, Social Security numbers, medical information, driver's license numbers, financial account numbers, and health insurance data. Aesto provides data migration and archiving services for medical facilities, and at least 30 healthcare organizations were affected, with breach notices filed for customers including Together Women's Health. Related healthcare incidents disclosed this year include Baylor Genetics (2.8 million people), CareCloud (3.7 million), and recent attacks at McKesson, Nutex, Paylogix, and Park Dental Partners.

The Record · 13d agoData breach

Molecular Déjà Vu: Digit-Level Retrieval of Published Values in Frontier Language Models

Audit of 22 frontier models finds widespread verbatim retrieval of published molecular property values, with higher reasoning increasing recall of memorized numbers.

An arXiv audit tests 22 frontier LLMs across 12 molecular regression benchmarks for verbatim retrieval of published values. More than 50% of the LLMs show verbatim retrieval on five datasets, and identical experiments are flagged 89% more often at a high reasoning level than at the lowest one. Suppressing retrieval moves model prediction errors closer together in relative terms, suggesting predictive capability is not determined solely by memorized values.

arXiv cs.AI / cs.LG / cs.CL · 11d agoAI research1