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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 Blog · 5d agoPhishing & fraud

The 20 Most Common Passwords Hackers Target in 2026

Huntress details the 20 most common passwords of 2026 and how attackers use brute force, spraying, and credential stuffing against weak credentials.

Huntress published an awareness piece based on NordPass's seventh annual list of the 200 most commonly used passwords, compiled from exposed data in cyberattacks across 44 countries. The top passwords remain simple sequences and variants such as "123456", "admin", "password", and "P@ssw0rd", all crackable in under a second. The article explains four password attack types: brute force, password spraying, credential stuffing, and dictionary attacks. Huntress cites its own data showing more than 1 in 4 IT professionals consider employees' password habits their biggest weakness, and recommends avoiding common passwords, not reusing credentials, and combining letters, numbers, and symbols.

Huntress · 7d agoPhishing & fraud

The Money Mule Solution: What Every Scam Has in Common

CYBERA's money mule intelligence, now in Recorded Future's Payment Fraud Intelligence, targets the shared exit point of $450B-$1T annual scam losses.

Scams, especially authorized push payment fraud, do not require a breach; Global Anti-Scam Alliance estimated ~$450B in 2025 losses while CYBERA co-founder Claudio Staub puts the real figure near $1 trillion when underreporting is counted. Every scam needs a mule account to receive funds, so CYBERA uses agentic personas to engage active scammers and extract verified mule account details before payments occur, now available as an add-on to Recorded Future's Payment Fraud Intelligence. CYBERA collected over 16,000 confirmed mule accounts across 72 countries in H2 2025, finding 28% remained active 30 days or more after identification, including one account in 25 engagements. In Europe 51% of mule accounts sat at neobanks and fintechs, while outside Europe 69% were at major banks; regulatory pressure like the UK's APP reimbursement mandate is raising the stakes for institutions.

Recorded Future · 18d agoPhishing & fraud

MFA's Weakest Link: Account Recovery Is the New Attack Path

Help desk account recovery is increasingly the weakest link in MFA-protected identities, as Scattered Spider's impersonation-driven Marks & Spencer attack demonstrated.

As MFA, conditional access, and phishing-resistant factors raise the cost of direct account takeover, attackers increasingly target the recovery process, convincing service desk staff to reset passwords or re-register MFA on attacker-controlled devices. CISA, FBI, and partner advisories describe Scattered Spider posing as employees to trigger such resets; the 2025 Marks & Spencer attack began this way and led to ransomware with an estimated £300 million profit impact. Microsoft now describes Entra ID account recovery as a high-assurance process, and the article promotes Specops Secure Service Desk for verified identity workflows.

BleepingComputer · 7d agoPhishing & fraud

Phishing 3.0: The Fight Moves to Agent Versus Agent

Agentic AI transforms phishing economics, enabling personalized multi-channel attacks with deepfakes like the $25M Arup deepfake heist.

The article argues phishing has evolved through three stages: from malicious content, to intent-based BEC, to AI-powered multi-channel campaigns where attacker agents autonomously conduct reconnaissance and generate tailored lures. The widely reported Arup case saw a deepfake video call impersonating colleagues convince an employee to approve transfers worth roughly $25 million. An Osterman Research study of 128 security leaders found 88% experienced trust-undermining incidents, while Microsoft 365 EOP and Google Workspace were measured missing hundreds of phishing messages per 100 mailboxes monthly. The author argues defenders must adopt their own agents to match attacker speed.

The Hacker News · 29d agoPhishing & fraud2

Companies may be measuring phishing resilience the wrong way

Pistachio's 2026 report analyzing 648 organizations finds click rates alone mislead; combining clicks, credential submission, and reporting better measures phishing resilience.

Pistachio's Phishing Behaviour Report 2026 analyzed 648 organizations and 123,692 users across 354,962 simulations between June 1, 2025 and May 31, 2026. It found click and credential-submission rates rose during the first six months of training before declining, and from the six-month peak to the 12-month stage clicks fell 27% while credential leaks dropped 41%. The report-to-click ratio increased from 1.3 at three months to 1.8 at 12 months, framing employees as an active detection channel. Departmental analysis showed Construction had the highest cumulative click rate (41.31%) and Health the lowest report rate (13.17%), supporting more targeted training.

Help Net Security · 6d agoPhishing & fraud

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 Security · 28d agoPhishing & fraud