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China-Linked Hackers Exploit Sogou One-Click RCE to Deploy GRAYRABBIT Backdoor

China-linked UNC3569 exploited CVE-2026-51990 in Sogou Input Method to deploy the GRAYRABBIT backdoor in active espionage intrusions.

Gen Threat Labs discovered UNC3569 exploiting CVE-2026-51990, a one-click RCE in Tencent's Sogou Input Method for Windows that chains an insecure sgbiz: protocol handler with an unsandboxed Chromium 80 CEF webview. The chain weaponizes CVE-2021-38003 (V8 type confusion) to run shellcode that DLL-sideloads via 7z.exe/7z.dll and deploys the GRAYRABBIT backdoor, which beacons over RC4-encrypted raw TCP 443 to mail.uaiubifas[.]top. Tencent patched the issue in version 16.3.0.3498, released via automatic updates on April 21, 2026. UNC3569 is a PRC-nexus espionage actor targeting government, education, technology, and financial sectors across East and Southeast Asia.

GBHackersupdated · 2d agofirst · 2d agoThreat actor in the wild 3 sourcesCVE-2026-51990CVE-2021-380031

Details emerge on BlackFile's recent attacks on financial companies

BlackFile (UNC6671), a The Com-linked extortion crew, keeps hitting financial and med tech firms with voice-phishing IT-support scams and ~$3 million demands.

Google Threat Intelligence Group (tracking BlackFile as UNC6671, linked to The Com) reports the extortion group remains active, shifting focus to the financial sector and med tech organizations, with new Redact-brand extortion demands issued last week. The group impersonates IT support in voice-phishing attacks using hundreds of recruited callers, targets large firms in what researchers call big-game hunting, and processes an average of 1.5 new victims daily. Extortion demands start around $3 million and are typically negotiated below $1 million; Flashpoint observed infrastructure targeting Blackstone, Bain Capital, Moody's, CME, and Apollo, though compromise is unconfirmed. Mandiant has responded to more than two dozen BlackFile compromises since January, and victims face escalation tactics including swatting.

CyberScoop · Aug 17, 2026Threat actor in the wild

Novel Blue Moon kit targeting Chrome and Windows reflects new reality of AI-driven exploits

Proofpoint reports the BlueMoon exploit kit, chaining two Chrome V8 zero-days and a Windows ALPC bug, being shared across China-linked espionage groups.

Proofpoint identified a new exploit kit, BlueMoon, first observed on August 28 and used by TA412 (APT31/Violet Typhoon) against US NGOs, mining firms, and commodity trading companies. The kit chains a V8 type confusion RCE (CVE-2026-85046), a V8 sandbox escape, and a Windows Advanced Local Procedure Call privilege escalation (CVE-2026-85880), both patched flaws having been exploited in the wild. At least four espionage groups, most with suspected China nexus including UNK_LateNight, adopted the kit within days, targeting US aerospace firms with defense-sector lures. Fewer than 20 organizations were observed targeted, and researchers believe AI-assisted exploit development against upstream Chromium patches enabled the kit's rapid creation and sharing.

Financial Stability Board Sounds the Alarm Over Frontier AI Risks

The Financial Stability Board warned G20 banking leaders that frontier AI adoption poses growing cyber and financial stability risks.

The Financial Stability Board (FSB) issued a warning to G20 banking leaders about cyber and financial-stability risks stemming from frontier AI. The alert highlights systemic risk concerns around advanced AI adoption in the financial sector. No specific incidents or regulatory actions were announced.

Infosecurity Magazine · 15d agoAI policy

Risky Bulletin: Two TeamPCP members arrested in Australia

Australian Federal Police arrested two alleged TeamPCP members behind supply-chain worm attacks that stole over 500,000 credentials from compromised open-source libraries.

The AFP arrested alleged TeamPCP leader Ruben Thomson, 21, and Louis Gaebler, 23, near Perth; both were charged and remain in custody. The group inserted a self-spreading credential-stealing worm into open-source projects including Trivy, KICS, LiteLLM, and Telnyx, harvesting more than 500,000 credentials used for network access, ransomware, extortion, and sales. About 78,000 tokens and secrets from nearly 2,200 organizations leaked online last month, and the FBI supported the investigation that began in April.

Risky Business News · 19d agoPolicy & legal in the wild1

Introducing ChatGPT for Financial Services

OpenAI launches ChatGPT for Financial Services, pairing built-in market data with GPT-6 Astra for banking research workflows.

OpenAI introduced ChatGPT for Financial Services, a tailored ChatGPT Work experience shaped by design partners Morgan Stanley and Evercore, targeting investment banking and equity research. It bundles premium data from Daloopa, PitchBook, LSEG News, and Crunchbase hosted on OpenAI infrastructure with granular citations, optimized MCP connectors for S&P Global and FactSet, and 50+ connectors, plus planned entitlement integrations with S&P Capital IQ, LSEG, MSCI, Dow Jones Factiva, and Moody's. It runs GPT-6 Astra, which OpenAI claims is state of the art in information retrieval, financial reasoning, and artifact generation, and includes enterprise controls such as SAML SSO, SCIM, role-based access, and no default training on firm data.

OpenAI Newsupdated · 6d agofirst · 6d agoAI industry 3 sources

NYS DFS Issues New Cybersecurity Guidance on Risk Assessments for Financial Services Entities

New York DFS issued cybersecurity guidance defining expectations for risk assessments that regulated financial services entities must conduct.

On September 10, 2026, NYS DFS Acting Superintendent Kaitlin Asrow issued new cybersecurity guidance on conducting risk assessments sufficient to inform cybersecurity programs. The guidance covers scope, frequency, and the role of assessments for DFS-regulated financial services entities. It does not describe any incident or vulnerability, but sets regulatory compliance expectations under DFS cybersecurity rules.

DataBreaches.net · 4d agoPolicy & legal

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 Blog · 22d agoPhishing & fraud

A Hybrid LSTM-XGBoost Framework for Multi-Horizon Stock Return Prediction Across Diversified Equity Portfolios

Hybrid LSTM-XGBoost model predicts multi-horizon returns for 14 US equities, cutting 30-day RMSE to about one-third of a standalone LSTM baseline.

The paper combines a two-layer LSTM (64 hidden units) processing 60-day windows of five market features with an XGBoost regressor over a 78-dimensional hybrid feature vector including 14 technical indicators. It is trained on pooled data for 14 US equities across six sectors using chronological splits and per-stock MinMaxScaling to prevent look-ahead bias, and evaluated at 30, 90, 252, and 365 trading-day horizons. The hybrid achieves test RMSE of 0.0949 at 30 days, roughly one-third of the standalone LSTM, while 97.6% directional accuracy at 365 days largely tracks the base rate of positive returns.

arXiv cs.AI / cs.LG / cs.CL · 5d agoAI research

NVIDIA AI Factory Compute Is Becoming an Investable Asset Class

NVIDIA partners with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to mobilize over $500 billion of third-party capital for AI infrastructure financing.

NVIDIA announced partnerships with major financial firms including Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR. The independent financing platforms are designed to mobilize more than $500 billion of third-party capital to support AI infrastructure buildout. NVIDIA frames the move as positioning AI factory compute as an investable asset class.

NVIDIA Blog · Aug 12, 2026AI industry

From ‘High/Medium/Low’ to Dollars: Making Cyber Risk Legible to Your CFO

Cyble argues security teams should express cyber risk in financial terms for CFOs instead of high/medium/low ratings, citing its 2025 threat forecast results.

Cyble published guidance on cyber risk quantification, arguing qualitative high/medium/low ratings fail to convey financial exposure to executives. The piece notes that over 80% of its 2025 threat predictions, including AI-driven ransomware and supply-chain attacks, materialized as anticipated.

Cyble · 22d agoIndustry

Causal Foundation Models

A paper introduces causal foundation models (CFMs): pretrained networks that estimate treatment effects on new datasets via in-context learning without fine-tuning.

Causal foundation models (CFMs) apply the foundation-model paradigm to causal inference, replacing bespoke per-problem estimator pipelines with networks pretrained once at scale. CFMs estimate causal quantities such as the average treatment effect on entirely new datasets through in-context learning, without model updates. The work serves as a practical introduction to the emerging area, covering background in causal inference and machine learning and including example code and Jupyter notebooks.

Hugging Face daily papers · 15d agoAI research

What LLM Trading Agents Actually Do in Production: A Six-Month, Population-Scale Record from Two Fleets

Six-month record of 7.5M LLM trading agent invocations shows volatility-blind sizing, minimal upside capture, and no directional edge across two fleets.

The study records autonomous LLM trading agents in production across DX Terminal Pro (3,505 user-funded vaults trading real ETH in Base memecoin markets) and the DXAP fleet (500-599 agents on Hyperliquid perpetuals), spanning roughly six months, 7.5M single-model invocations and about 300K onchain actions. A risk slider explains leverage (+0.425 per level), median leverage is 5.0x in every volatility sextile, and one posture-slider cell holds 62% of liquidations. Agents capture little upside: 43.2% of positions saw +300 bps favorable excursion within 24h yet 49.3% of those closed negative, while the DXAP fleet trails a matched retail benchmark (41% vs 50% roundtrip win rate). A paired-replay league of frontier models finds decision quality statistically indistinguishable at this horizon.

Hugging Face daily papers · 13d agoAI research

Cyber risk from frontier AI poses ‘most immediate concern’ to global financial system, watchdog warns

The Financial Stability Board warns G20 ministers that frontier AI-driven cyber risk is the most immediate threat to global financial stability.

FSB chair Andrew Bailey's letter ahead of the G20 meeting in Asheville calls AI-related cyber risk the most immediate concern to the global financial system, citing cybersecurity evaluations at OpenAI, Anthropic, Meta and the UK AI Security Institute in which advanced models engaged in unauthorized activities against third-party systems. The letter warns of system-wide disruption risk from concentrated third-party providers, urges bare-metal recovery capabilities for critical systems, and notes many countries lack safeguards governing advanced AI development and deployment. The FSB is also examining safe use of frontier models for defense, echoing UK NCSC warnings about operational risk from accelerated patching cycles.

The Record · 15d agoAI policy

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 · 29d agoData breach in the wild

What building an AI-native finance function taught me

OpenAI CFO Sarah Friar shares five lessons from building an AI-native finance function, covering forecasting, controls, and AI ROI.

OpenAI CFO Sarah Friar outlines five lessons learned from building an AI-native finance function at the company. Topics include automated forecasting, stronger financial controls, and measuring AI return on investment. The piece is a first-person account of enterprise AI adoption within a finance organization rather than a product or research announcement.

OpenAI News · Aug 10, 2026AI industry

Model ML completes finance work more efficiently with GPT-5.6 Sol

OpenAI customer Model ML uses GPT-5.6 Sol to turn finance research into editable, traceable decks and workbooks.

OpenAI published a customer story describing how Model ML uses GPT-5.6 Sol for finance work. The model carries tasks from research and analysis through to editable, traceable PowerPoint decks and Excel workbooks. This is a product adoption case rather than a new model release.

OpenAI News · Aug 10, 2026AI industry

Multi-Agents LLM Financial Trading Framework

TauricResearch's TradingAgents, an open-source multi-agent LLM framework for financial trading, gained traction on Hacker News with 94 points and 60 comments.

The TradingAgents GitHub repository from TauricResearch presents a multi-agent LLM framework for financial trading and surfaced on Hacker News with 94 points and 60 comments. It targets developers building agentic trading systems on top of LLMs.

Shadow AI in Financial Services | Risk & Governance

Huntress warns financial services firms that unsanctioned 'Shadow AI' tool use creates data leakage and compliance risks faster than governance controls can keep pace.

Huntress argues Shadow AI — employee use of unapproved AI tools such as ChatGPT and Microsoft Copilot — is spreading across financial services faster than visibility and controls. Uploading regulated customer data into public generative models risks breaches of client confidentiality, data protection rules, and market conduct obligations. The piece recommends secure web gateways, DNS filtering, DLP, application allowlisting, and corporate SSO/MFA for approved tools rather than outright bans, which can push usage onto personal devices.

Huntress · 13d agoIndustry

India’s Pocket FM doubles revenue run rate to $500M as AI powers 93% of audio content

Indian audio platform Pocket FM doubled its annualized revenue run rate to $500M, with AI now producing 93% of its catalog.

Pocket FM, an Indian serialized audio storytelling platform, doubled its annualized revenue run rate to $500 million in a year, with AI powering 93% of its catalog and 99% of new content. The company says generative AI, including in-house creative-writing and text-to-speech models, made production roughly 80 times cheaper, letting 550,000+ creators produce about 2.5 million hours of content annually across 770,000 audio series for 250 million listeners. Parent Pocket Entertainment is reportedly in talks to raise $100-120 million at about a $2 billion valuation, is profitable on an adjusted basis, and its AI-only microdrama app Pocket Saga has reached a $15 million annualized run rate.

TechCrunch · AI · 6d agoAI industry

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.

MIT Technology Review · AI · 1d agoAI industry

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 Record · 6d agoPhishing & fraud

Nvidia dismisses "circular financing", says every $1 it invests brings back $100

Nvidia rejects 'circular financing' criticism, claiming every $1 it invests yields $100 in returns amid a falling stock price.

Nvidia publicly dismissed concerns that its AI ecosystem investments amount to 'circular financing', asserting that each $1 it invests generates roughly $100 in value. The statement comes as Nvidia's share price continues to decline. The story drew moderate discussion on Hacker News with 34 points and 25 comments.

Is Cyber Facing an Affordability Crisis?

Dark Reading analysis argues record breach costs and roughly $240 billion in cyber defense spending leave small businesses dangerously exposed, threatening supply chains.

The analysis examines an affordability crisis in cybersecurity, noting breach costs have reached record highs while defense spending approaches $240 billion. It argues small businesses are dangerously under-protected relative to rising attack costs. Weak small-business defenses are framed as a supply chain security risk for larger organizations.

Dark Reading · 22d agoIndustry

Securing the Infrastructure of Intelligence

NVIDIA positions AI factories combining chips, networking, power and data as the defining infrastructure of the AI economy needing full-stack security.

NVIDIA's blog argues that AI factories are the defining infrastructure of the AI era, transforming energy and data into intelligence that powers businesses and countries. It frames compute as revenue and lists the full stack of critical resources required: advanced chips, packaging, memory, networking, land and power. The piece is a corporate positioning article about securing this infrastructure, with no specific incident or product announcement detailed in the excerpt.

NVIDIA Blog · Aug 17, 2026AI industry

Nvidia is the central bank of AI

The Economist's interactive briefing argues Nvidia functions as AI's central bank, controlling the compute supply underpinning the industry's growth.

An Economist interactive briefing titled 'Nvidia is the central bank of AI' examines the chipmaker's dominant control over AI compute supply. The link drew 45 points and 23 comments on Hacker News. The listing provides only engagement metrics, with the full analysis hosted on the Economist's site.

E2A-Bench: Benchmarking Evidence-to-Action Reliability in Financial Chart Reasoning

E2A-Bench, a 969-query financial chart reasoning benchmark, finds VLMs fail evidence-to-action consistency, with fine-tuning amplifying BUY:SELL bias 4-6x.

E2A-Bench is a 969-query benchmark built from 323 HS300 constituents across three input modalities with deterministic OHLCV-derived evidence anchors, evaluating grounding, reasoning-action consistency, evidence-confidence calibration, and directional coverage via UCR, RCI, ECI, and NDR metrics. Testing 20 VLMs showed the lowest-hallucination model ranked near the bottom on coverage with only 6.4% directional coverage, and oracle-aided verification reduced unsupported claims but could collapse coverage. Financial fine-tuning amplified the BUY:SELL ratio by factors of 4.21 to 4.68 across base-fine-tuned pairs.

Hugging Face daily papers · 4d agoAI research

Legora reviewed 41 documents in minutes with GPT-6 Astra

Legal-tech firm Legora says GPT-6 Astra reviewed 41 financial documents in minutes, catching all four planted errors and boosting accuracy about 40%.

Legal technology company Legora reported using OpenAI's GPT-6 Astra to review 41 financial-statement documents in minutes. The workflow found all four planted errors and improved performance by nearly 40% compared to prior processes. The case study highlights AI-assisted financial review adoption in professional services.

OpenAI News · 13d agoAI industry

Nearly 750k had financial info, SSNs leaked in South Carolina loan company breach

Heights Finance breach of a third-party cloud platform exposed SSNs and banking data of 734,828 loan customers across 11 states.

Attackers breached a third-party cloud platform used by Heights Finance in May, exposing data on 734,828 customers, according to the company's filing with Texas regulators. Stolen data includes contact details, bank account and routing numbers, Social Security numbers, tax IDs and driver's license numbers. The breach, discovered on May 7, was limited to the cloud platform and did not affect loan management systems. No group has claimed the attack and dark web monitoring has found no evidence of the data being leaked.

The Record · Aug 17, 2026Data breach

Teaching Everyone to Fish for Tokens

Analysis argues open-source AI now depends heavily on Nvidia's financing, with a reported $26 billion bet shaping the open-weights ecosystem's future.

An Interconnects essay examines whether the open-source model recipe, exemplified by Ai2's Olmo and Nvidia's Nemotron releases, can become economically self-sustaining. It reports Nvidia is spending roughly $26 billion on near-open-source models to drive demand for its chips, and argues the open ecosystem faces an existential financing window over the next few years. The author predicts open models may fork toward efficiency, specialization, and on-prem enterprise agents rather than competing head-on with closed frontier labs.

Interconnects · Aug 17, 2026AI industry

At UBS, AI skills are now a condition for landing a job

UBS will require 2027 graduate and intern applicants in Global Banking to demonstrate AI skills, among the first major banks to do so.

Per the Financial Times, UBS will require candidates for 2027 graduate and internship roles in Global Banking and Markets to show how they use AI to improve outcomes and efficiency, with AI questions included in interviews. The requirement supplements, not replaces, traditional criteria, and Santander is similarly seeking advanced AI users for some trainee programs. Morgan Stanley analysts project more than 200,000 European banking jobs could disappear within five years as routine junior work is automated; UBS is also testing analyst avatars for client presentations.

The Decoder · 9d agoAI industry

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

After warning AI is too dangerous, Bill Gates bets a billion on its upside

Gates Foundation pledges at least $1 billion over two years to widen AI access in health, education and agriculture, warning of a rich-poor divide.

The Gates Foundation's 2026 Goalkeepers report outlines spending of at least $1 billion over two years on AI access in health, education and farming. Gates notes over 90% of early LLM training data was English, with speech recognition error rates below 6% in English but above 60% in Yoruba. Cited projects include Penda Health clinics in Kenya (16-point diagnostic accuracy gain), Gemini Guided Learning in Sierra Leone (1.7 years of learning gains in eight weeks), and India's MahaVISTAAR reaching 740,000+ farmers at under 18 cents per person.

The Decoder · 1d agoAI industry1