Search: “fraud-prevention”

24 stories

DomainAll Cyber AIWindow24h 3d 7d 30d AllIn the wild Important only Show duplicates

CategoryAll Phishing & fraud 11 Threat actor 2 Data breach 1 Exploit / PoC 1 Vulnerability 1

SeverityAll critical 4 high 1 medium 1 low 10 info 0

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Visa enhances A2A Protect to stop fraud before money leaves the account

Visa enhanced A2A Protect with a Featurespace-powered unified fraud score to help banks stop account-to-account fraud before funds leave accounts.

Visa announced an updated A2A Protect that integrates Featurespace technology into a unified fraud score, giving banks real-time risk insights on account-to-account payments without waiting for in-house model training or consortium participation. Visa claims a 75% increase in fraud detection within the first six months of deployment and a single API for integration. A2A transaction volume is projected to exceed 5.8 trillion by 2028, up 160% from 2024.

Help Net SecuritySep 2, 00:00 UTC · 14d agoTools

Banks look for fraud signals in customer behavior

ThreatMark's 2026 benchmark finds 55% of banks see social engineering in most fraud, pushing behavioral intelligence and earlier detection during customer sessions.

ThreatMark's Fraud Readiness Benchmark 2026 reports social engineering is involved in most fraud at 55% of surveyed banks, with criminals impersonating trusted people to make customers authorize payments using legitimate credentials. The report highlights behavioral intelligence as underused (18% adoption, 83% rating it effective), expects authorized push payment reimbursement regulation in North America within two years, and notes 91% agreement that AI can shorten fraud investigations. It also finds 81% of fraud professionals now carry cybersecurity responsibilities.

Help Net SecurityAug 19, 00:00 UTC · 28d agoPhishing & fraud

The Fraud Ecosystem: A Transition From Known Marketplaces to a Fragmented Environment

Rapid7 analyzes how fraud marketplaces are fragmenting into specialized shops after larger marketplaces were dismantled, aided by new MITRE F3 framework

Rapid7 reports a shift from large known fraud marketplaces to a fragmented environment of smaller specialized storefronts such as Xleet, Blackpass, Infodig, and Styx, operating across dark web channels, Telegram, and P2P options. These Fraud-as-a-Service shops sell stolen accounts, PII, synthetic identity generation, infrastructure, and money laundering support, supporting schemes like business email compromise. MITRE's Fraud Fighting Framework (F3), introduced in early 2026, aims to help security teams prioritize monitoring of fraud TTPs, particularly account takeover techniques. Fraud damages are anticipated to approach hundreds of billions of USD.

Rapid7 BlogSep 11, 13:33 UTC · 5d agoPhishing & fraud

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.CRSep 8, 08:50 UTC · 8d agoResearch

AI is making fraud harder to spot and identity harder to prove

Experian's 2026 report finds AI-generated scams, deepfakes and synthetic identities spreading across digital channels, pushing businesses toward adaptive identity verification and 'Know Your Agent' checks.

Experian's 2026 US Identity & Fraud Report, based on consumer and business surveys, found 60% of consumers aware of AI-generated image/video scams, 53% of AI phishing, and 47% of deepfake voice impersonation. 80% of US businesses already use machine learning or generative AI in fraud management, while AI chatbot account openings rose from 16% in 2025 to 27%. The report highlights adaptive authentication, behavioral biometrics, and emerging 'Know Your Agent' controls as AI agents begin acting on behalf of customers.

Help Net SecurityAug 20, 00:00 UTC · 27d agoPhishing & fraud

The New Face of Financial Fraud: AI-Powered Brand Abuse

Akamai reports AI-powered brand abuse is driving financial fraud against banks and promotes its Brand Guardian defense.

Akamai describes AI-powered brand abuse as a growing driver of financial fraud against banks. The post outlines the threats and the business impact for financial institutions. It also promotes Akamai Brand Guardian as a mitigation for financial institutions.

Akamai BlogAug 25, 13:00 UTC · 22d agoPhishing & fraud

When the Attacker Wears Your Logo: Detecting and Taking Down Impersonation at AI Speed

Cyble details how attackers use lookalike domains and cloned sites for brand impersonation scams and how AI-speed detection enables rapid takedowns.

Cyble describes the growing risk of digital impersonation, where attackers register lookalike domains, clone websites, create fake executive profiles, publish fraudulent job ads, and imitate customer-support accounts without ever breaching the legitimate organization. The goal is to borrow a trusted brand's credibility to make scams look legitimate, with particular risk for professional services, financial, legal, and consulting firms. The piece outlines AI-assisted approaches for detecting and taking down impersonation infrastructure quickly.

CybleAug 19, 14:01 UTC · 28d agoPhishing & fraud

What Is Account Takeover Fraud? A Comprehensive Guide | Huntress

Huntress published an educational guide explaining account takeover (ATO) fraud, how attackers steal credentials, and steps to detect and prevent it.

Huntress released a comprehensive guide on account takeover fraud, which occurs when attackers steal login credentials to gain access to victim accounts. The article is educational rather than incident reporting, covering detection signals and prevention measures such as credential protection. No specific breach, actor, or vulnerability is described.

HuntressAug 21, 18:00 UTC · 25d agoPhishing & fraud

UK Fraud Cases Hit Record High in 2026

Cifas reports UK fraud cases reached a record high in 2026, driven by account takeover and identity fraud.

Cifas data shows UK fraud cases hit a record high in 2026. Account takeover and identity fraud are the main drivers of the surge. The figures indicate rising fraud pressure on UK consumers and financial institutions.

Infosecurity MagazineAug 19, 08:45 UTC · 28d agoPhishing & fraud

Threat Actor Generates 1M Personalized Fraud Emails in 3 Days

Cybercriminals used AI to generate 1 million personalized fraud emails in three days, eliminating the traditional volume-versus-credibility tradeoff.

Dark Reading reports that a threat actor used AI to generate approximately 1 million personalized fraudulent emails within three days. The article highlights that AI now lets malicious email campaigns combine high volume with high credibility, removing a historic constraint on phishing operations. No specific gang, victim list, or tooling is named in the available text.

Dark ReadingSep 11, 19:21 UTC · 4d agoPhishing & fraud in the wild

Def Con Attendees Targeted by Persistent Phishing Campaign

Huntress reports a persistent and elaborate phishing campaign targeting attendees following the Def Con security conference.

A Huntress researcher documented being targeted by an elaborate and persistent phishing scam after attending Def Con. The campaign specifically went after conference attendees, suggesting deliberate targeting of the security community. Details of the social engineering approach and persistence were shared.

Infosecurity MagazineAug 20, 09:30 UTC · 27d agoPhishing & fraud

Most Fraudulent Hires Receive Credentials Before Detection

HYPR report finds 42% of fraudulent hires pass screening and receive corporate credentials, averaging 5.73 days of unmonitored network access before detection.

A HYPR study of 500 US HR executives found 42% of fraudulent candidates pass pre-hire screening and get hired, with only 3% detected on their hire day and 20% remaining undetected up to three weeks. This gives fraudulent hires an average of 5.73 days of unmonitored corporate network access, and 98% of surveyed executives said they had experienced candidate fraud firsthand. The report follows a September 9 CISA update to its Insider Threat Mitigation Guide warning that malicious actors use AI tools to obtain remote IT jobs, a tactic long used by North Korean actors for data theft and extortion.

Infosecurity MagazineSep 15, 15:15 UTC · 1d agoPhishing & fraud

Researching Employment Scams

Schneier highlights research into North Korean fake-employment IT-worker scams that embed operatives in remote roles for long-term insider access.

The post discusses research into employment scams in which fabricated remote workers, associated with North Korean IT-worker schemes, embed in organizations for months or years to exfiltrate data or position for financial theft. Researchers used controlled sandbox environments to observe operatives syncing personal accounts and working under false identities. Commenters also note reverse scams targeting desperate job seekers through high-pressure MLM and door-to-door sales schemes.

Schneier on SecuritySep 3, 11:18 UTC · 13d agoPhishing & fraud

CounterPersona: Append-Only Defense Against Unauthorized Persona Skill Distillation

CounterPersona appends targeted counter-persona evidence after data collection to block AI systems from distilling an individual's behavioral patterns into reusable skills.

CounterPersona defends against unauthorized persona skill distillation, where attackers extract recurring patterns from collected personal data to replicate an individual's behavior. Unlike perturbation-based defenses that require modifying data before collection, it works in an append-only setting where historical records cannot be altered or revoked. It constructs targeted counter-persona evidence, packs compatible behavioral states into compact realization units, and strengthens them via rationale-guided consistency rewriting. Experiments show strong effectiveness across lexical, semantic, and LLM-based measures, remaining robust across different distillers.

arXiv cs.CRSep 14, 06:19 UTC · 2d agoAI safety & security

AI-driven OSINT in the wrong hands – and why everyone could be a target for fraud

ESET warns that cheap AI-powered OSINT tooling is making ordinary people viable targets for tailored cyber fraud.

ESET published guidance on how AI-driven OSINT lowers the cost for cybercriminals to research potential fraud victims. The article explains how publicly available information can be aggregated to build convincing social engineering lures. It also outlines practical steps individuals can still take to reduce their exposure.

ESET WeLiveSecurityAug 27, 09:00 UTC · 20d agoPhishing & fraud

Credential Theft: How Attackers Steal & Use Stolen Credentials

Huntress explains how attackers steal credentials through phishing, AitM, infostealers, and dumping, then use them for lateral movement, BEC, and ransomware.

Huntress published an educational overview of credential theft, citing that roughly 70% of confirmed data breaches begin with stolen credentials. It details acquisition methods including phishing, adversary-in-the-middle attacks that capture MFA session tokens, infostealers (nearly a quarter of threats Huntress observed in 2025), Mimikatz-based credential dumping, credential stuffing, and password spraying. The piece then covers post-theft actions such as lateral movement, privilege escalation, account takeover, business email compromise, and ransomware, and closes with behavioral detection guidance and layered prevention strategies.

HuntressSep 10, 16:00 UTC · 6d agoResearch

Engineered Persuasion: Evaluating Personalized Pretexts in LLM-Generated Spear Phishing

A study of 180 US workers found each LLM phishing personalization level raised click-intention odds by 28%, but credibility depends on context fit.

The arXiv paper evaluates how personalized pretexts in LLM-generated spear phishing affect perceived credibility, using 180 US working adults across 1,436 evaluations of emails with four cumulative personalization levels, from workplace context to shared-project details. Convincingness rose 2.40 points per level in sensitivity analysis and click-intention odds increased 28% per level, while non-clickers shifted toward deleting rather than reporting. Qualitative coding showed details matching the recipient's role and routines supported credibility, whereas incorrect, vague, or channel-inappropriate details raised suspicion. The authors argue personalization effectiveness depends on pretext fit, with implications for workplace security training.

arXiv cs.CRSep 3, 19:21 UTC · 12d agoResearch

Attackers impersonate popular AI brands to spread malware

Sophos documented 38 MDR cases where attackers impersonated AI brands like Claude and Perplexity to deliver infostealers and backdoors.

Sophos X-Ops analyzed 12 months of MDR cases and confirmed 38 incidents involving AI. Software impersonation accounted for 30 cases, with Claude impersonated in 26; fake installers used an 'InstallFix' technique delivering mshta commands, in-memory payloads, and process hollowing. Malicious browser extensions posing as AI assistants, including a fake Perplexity extension with 10,000 installs, acted as infostealers. In one case, attackers used a Claude coding agent to develop a Rust remote access trojan communicating over Slack after an SQL injection compromise.

Help Net SecurityAug 21, 00:00 UTC · 26d agoThreat actor in the wild

US Finance Under Phishing Pressure: What the SOC Data Reveals?

ANY.RUN SOC telemetry shows escalating phishing campaigns against US finance, including Vercel-hosted RMM attacks abusing legitimate services.

ANY.RUN analyzed SOC telemetry data on phishing targeting the US financial sector, concluding that the scale and security impact should not be understated. The analysis highlights modern campaigns such as Vercel-hosted attacks that deliver remote monitoring and management (RMM) tools. It notes that attackers increasingly abuse legitimate services and everyday workflow tools to deliver phishing, making detection harder for SOC teams.

ANY.RUNAug 26, 09:17 UTC · 21d agoPhishing & fraud in the wild

Operation ASTERIX: Anatomy of a Crypto Fraud Pipeline

Rapid7 exposed infrastructure behind a cryptocurrency fraud pipeline using phishing panels, voice-dialing scripts, fake wallets, and AI coding assistants.

Rapid7 researchers identified an exposed web directory on infrastructure used to support a cryptocurrency fraud operation tracked as Operation ASTERIX. The server contained raw phone-number datasets, account-validation tools, enriched lead records, phishing panels, voice-dialing scripts, fake wallet applications, persistence mechanisms, and Telegram exfiltration code. Recovered prompts, shell history, and project files show the operator relied on AI coding assistants to package Electron applications, obfuscate code, troubleshoot builds, and modify phishing infrastructure.

Rapid7 BlogAug 17, 11:29 UTC · Aug 17, 2026Phishing & fraud

Do AI Coding Assistants Check Before They Install? A Pre-Registered Demand-Side Audit of Trust Signals in the Research Software Supply Chain

Pre-registered audit finds AI coding assistants verified provenance signals in only 9 of 1,920 trials before installing research software packages.

The study tested whether AI coding assistants check machine-readable trust signals such as SBOMs, signed releases, and provenance attestations before installing six open-source research software projects spanning HPC and quantum computing. Three models under two operating modes produced 1,920 registered trials scored from container logs. Provenance signals were opened in only 9 of 1,920 trials (0.5%) and zero of 384 control trials, with no trial running a verification command. The authors conclude publishing signals is insufficient and verification must be built into the program running the assistant.

arXiv cs.AI / cs.LG / cs.CLSep 7, 16:55 UTC · 8d agoAI safety & security

Detect and disrupt AI-themed attacks with Microsoft Defender

Microsoft Threat Intelligence reports criminal campaigns impersonating ChatGPT, Copilot, Claude, and DeepSeek in phishing, AiTM, and malvertising attacks reaching 100,000 emails daily.

Microsoft Threat Intelligence observed a growing set of campaigns that abuse trust in popular AI brands: a ChatGPT-themed phishing campaign sent up to 100,000 emails in one day to steal payment card data, and a Claude-themed campaign used adversary-in-the-middle techniques to harvest credentials and access tokens. Other campaigns included malvertising for a fake AI Windows plugin delivering the Vidar stealer and fraudulent DeepSeek installers distributed via GitHub. Initial access broker Storm-3075 used AI-themed malvertising to distribute payloads for multiple downstream actors, and Microsoft notes the AI services themselves were not compromised. Microsoft also details Defender protections such as Safe Links, Safe Attachments, and attack disruption against these multi-stage lures.

Microsoft Security BlogSep 10, 16:00 UTC · 6d agoPhishing & fraud in the wild 4 sources1

Gaming the system: how a Chinese-speaking actor turned Brazilian government sites into an SEO weapon

Check Point identifies Chinese-speaking group Gambling Goblin hijacking Brazilian government domains via malicious Apache modules for SEO-manipulated gambling phishing.

Check Point Research tracks a sustained campaign since mid-2025 against Brazilian government and educational organizations by Gambling Goblin, a Chinese-speaking cybercrime cluster linked to Earth Berberoka. Attackers compile and install malicious Apache modules that silently reverse-proxy visitors to phishing pages impersonating Google Play, Microsoft Store, and Amazon, chaining compromised high-reputation domains to inflate search rankings. The group deploys a heavily obfuscated Linux toolkit including DownPro, AlphaAgent, oRAT, a 3snake-based credential stealer, and SSH brute-forcers, with parallel phishing networks localized for Vietnamese, Spanish, and English victims.

Check Point ResearchSep 2, 10:16 UTC · 14d agoThreat actor

Treasury urges banks to file cyber scam reports, noting nearly $13 billion in losses since 2023

FinCEN urged banks to report cyber scams after a study found $12.7 billion stolen from US victims of crypto investment scams since 2023.

FinCEN analyzed more than 33,000 cyber fraud incident reports filed by roughly 1,300 financial institutions between September 2023 and December 2025, finding about $12.7 billion in losses to cryptocurrency investment scams across all 50 states. Traditional banks reported about $6.4 billion in suspected scam activity and crypto firms about $5.5 billion. Scam activity is growing, with monthly reports rising nearly 11% as centers expand beyond Myanmar, Cambodia, and Laos. The US later sanctioned Xinbi Guarantee, a Telegram-based marketplace used to launder over $36 billion.

The RecordSep 10, 21:15 UTC · 5d agoPhishing & fraud 4 sources