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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.
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ASCII smuggling crosses over from AI prompt injection to phishing evasion
Microsoft details high-volume phishing campaign using ASCII smuggling (Unicode tag chars) for filter evasion, peaking at 2.3M messages.
Microsoft researchers observed a high-volume finance-themed phishing campaign using invisible Unicode tag characters (U+E0000–U+E007F), a technique known from AI prompt injection research as ASCII smuggling, to split lure words like 'funding' and evade email filters. Telemetry from Microsoft Defender for Office 365 showed signature hits jump from roughly 21,000 messages on February 8, 2026 to more than 1.3 million on February 9, peaking above 2.3 million on February 11, with elevated weekday activity lasting approximately three months. The discovery emerged from prompt injection protection research, showing AI-era evasion techniques crossing into traditional phishing. Most messages were flagged by layered Defender protections rather than a single Unicode-specific signal.
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What must happen for AI’s trillion-dollar gamble to pay off
Hyperscalers need 2.7x productivity gains by 2030 to justify nearly $1.1 trillion in AI data center spending, or risk bankruptcy and capital misallocation.
Wharton finance professor Jessica Wachter estimates hyperscaler AI expenditure will reach nearly $1.1 trillion through 2027 and that a 2.7x productivity increase is needed to break even by 2030. AI revenues of roughly $150-200 billion this year fall far short of about $750 billion in annual spending, with total investment from Alphabet, Microsoft, Amazon, Meta, and Oracle potentially exceeding $5 trillion over four years. Alphabet reported its first free cash flow deficit (about $5.9 billion) since its 2004 IPO due to AI infrastructure costs. Researchers warn that failed demand could make the buildout the largest capital misallocation in history, with depreciating GPU chips risking stranded assets.
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Hackers Use AI-Assisted CEO Emails to Trick Finance Teams Into Sending $50,000 Payments.
Microsoft tracked a million-message AI-assisted BEC campaign impersonating executives with fake ServiceNow invoices to steal ~$50,000 ACH payments.
Microsoft detected over one million messages in a BEC campaign running August 3-5, using AI-assisted phishing templates, executive impersonation, and fabricated ServiceNow subscription invoices to trick finance teams into authorizing fraudulent ACH payments of roughly $50,000. The US received 87.7% of volume. Attackers used lookalike domains like service-nowinc[.]com registered just days before delivery, with no compromise of ServiceNow itself. Telltale signs included verbose HTML comments, uniform formatting, and inconsistent forwarded-message headers.
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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.
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