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The extension you never installed: KREMLIN forges Chrome's own integrity checks to steal banking sessions
Elastic details KREMLIN, a Brazilian banking malware whose malicious Chrome/Edge extension forges Chromium integrity checks to steal sessions.
Elastic Security Labs tracked operation REF9334 and its KREMLIN toolkit, a Brazilian banking malware campaign impersonating twelve banks across seven campaigns since May 2025. The infection chain uses multi-stage obfuscated JavaScript loaders with sandbox checks (file and process counting), scheduled-task persistence, and an Ethereum smart contract acting as a dead-drop resolver for C2 and payload URLs, abusing Archive.org for hosting. The malicious browser extension bypasses Chromium integrity mechanisms by manipulating Secure Preferences and regenerating required HMACs and App-Bound encrypted hashes. Threat Command disrupted over 1,500 infections by registering the kill-switch canary domain.
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Check Point Discloses Two 9.8-Rated VPN Certificate Flaws Enabling Unauthenticated RCE
Check Point patched two 9.8-rated VPN certificate flaws, CVE-2026-85102 and CVE-2026-85103, enabling unauthenticated remote code execution; no exploitation observed yet.
Check Point disclosed and began patching two critical (CVSS 9.8) vulnerabilities in VPN certificate handling on September 9: CVE-2026-85102, a certificate trust validation failure in VPN negotiation on Security Gateways, and CVE-2026-85103, a heap-based buffer overflow in ASN.1 decoding affecting Quantum Security Gateways and Security Management Server. Affected branches include R81.20, R82, and R82.10 Jumbo Hotfix levels; fixes ship via Live Patch or the latest Jumbo Hotfix. The company found both internally and reports no evidence of exploitation; the Canadian Centre for Cyber Security also published an advisory listing Spark firewalls.
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New Malware 'Rover' Targets Indian Ambassador to Afghanistan
Unit 42 reports a spearphishing attack delivering the custom Rover Trojan to India's Ambassador to Afghanistan, exploiting CVE-2010-3333 in Word.
On December 24, 2015, Unit 42 identified a targeted spearphishing email spoofing Indian Defence Minister Manohar Parrikar, sent to India's Ambassador to Afghanistan. The RTF attachment exploited CVE-2010-3333 in Microsoft Word to download a downloader from newsumbrella.net, which retrieved the Rover Trojan and DLL plugins from 46.166.165.254. Rover uses OpenCV for webcam capture, OpenAL for audio recording and libsndfile for audio files, with data exfiltration over its C2 channel; separate payload versions target Windows XP and later systems.
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How Fyxer built an AI executive assistant people trust
Fyxer details its OpenAI-powered AI executive assistant, orchestrating 30-50 specialized models trained on 500,000+ hours of assistant workflows.
OpenAI published a case study on Fyxer, whose AI executive assistant orchestrates 30-50 specialized OpenAI models trained on more than 500,000 hours of annotated executive assistant workflows. The system uses supervised fine-tuning, LoRA, and Direct Preference Optimization on user edits, and 53% of AI-generated email drafts are accepted as written. Fyxer's annual recurring revenue grew from $1 million to $32 million during 2025.
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Meta’s AI agent Muse is now the No. 2 app in the US
Meta's agentic AI app Muse ranked No. 2 on the US iOS charts with 83,000+ downloads, trailing Threads and ChatGPT launch pace.
Sensor Tower data shows Muse was downloaded over 83,000 times on iOS in the US, climbing from 4th to 2nd on the App Store, but below Threads' 4.3 million launch-day downloads and ChatGPT's 500,000 first-week installs. The Android version ranks only No. 338 in the Productivity category on Google Play. Muse launched days after Meta's $18 billion multistate settlement over social media consumer harms. Rival agent Instinct, valued at $2.5 billion with $350 million available, recently added Stripe and 1Password integrations.
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SloppyRAT: A New Tool For Ransomware Attacks
Zscaler details SloppyRAT, a new DLL backdoor delivered via ClickFix lures that stages CastleLoader and CastleRAT ahead of ransomware attacks.
Zscaler ThreatLabz analyzed SloppyRAT, a DLL-based backdoor distributed via ClickFix lures that abuses finger.exe over TCP port 79 to download a batch script. The malware copies curl.exe to download IronPython 3.4.2 from GitHub and executes zlib-compressed Base64-encoded Python to deploy CastleLoader and CastleRAT, then reflectively loads SloppyRAT in memory. It hinders analysis using XOR stack-string obfuscation, a modified affine cipher with modulus 127, and 13 runtime-decrypted code blocks, while communicating with C2 over a reverse SOCKS channel.
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Maverick: Private and Verifiable LLM Inference Made Practical via Matrix-Vector Multiplication Delegation
Maverick protocol delivers private and verifiable LLM inference via matrix-vector multiplication delegation, achieving up to 45x throughput gains over local inference on Qwen3-4B.
Maverick introduces an information-theoretically sound protocol for delegating matrix-vector multiplication with transparent preprocessing, efficient batch verification, and virtually no server overhead, combined with LPN-based pseudorandom masking for input privacy. It addresses privacy and correctness concerns when users delegate open-weight LLM inference to third-party providers. An end-to-end prototype evaluated on Qwen3-4B achieved throughput gains over local inference of up to 45x with precomputed privacy masks and 44x for verification-only workloads, with a CPU server using up to 128 threads.
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Meta Failed to Catch Hundreds of AI Child Abuse Ads. Some Included Images of Real Kids
Meta's AI ad-detection failed to catch 350+ CSAM video ads on Facebook, Instagram, and Threads, some depicting images of real children.
The Tech Transparency Project found over 250 additional ads containing child sexual abuse material on Meta platforms since August, on top of ~53 previously removed, exceeding 350 total since late last year. Some ads used images of real children, including a European royal family minor and teen influencers, morphed into graphic sexual videos via AI face-swapping. Ads linked to nudification apps from Chinese developers and reached over 29,000 EU accounts plus thousands in the US, UK, Australia, and India.
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[AINews] Fal’s H3 Max Live breaks the infinite videogen barrier
Fal post-trained MiniMax H3 into a 'Max' variant with 35x-faster inference, enabling faster-than-realtime AI video generation and infinite streams.
Fal post-trained MiniMax's H3 model into a 'Max' variant and optimized it for its in-house inference engine, achieving roughly 35x the speed of the official endpoint. The optimization enables faster-than-realtime video generation, demonstrated by an infinite interactive AI-generated stream productized by levels.io. The roundup also notes Meta Muse Code's general availability with an SDK, open DeepSeek-V4-Flash-Vision-Exp weights, GLM-5.3-Flash's strong agentic cost/performance rankings, and Tencent's 770B-parameter Hy4 Preview MoE with 49B active parameters.
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[AINews] 10% worse, 100x cheaper, 10000x faster: Why Simulation is taking over
Latent Space argues AI training pipeline stages—rewards, data, teachers, curricula, environments—are flipping from human-made to model-made simulation.
Latent Space's AINews essay traces how each component of AI training has turned synthetic since 2022: reward models (InstructGPT, RLAIF), synthetic pretraining data (Microsoft Phi, NVIDIA Nemotron-4 340B), model teachers (Alpaca, DeepSeek-R1 distillation), and self-generated curricula (Self-Rewarding Language Models, SPIN). In 2026 it highlights Karpathy's autoresearch loop—700 experiments yielding 20 kept improvements, cutting GPT-2 training time from 2.02 to 1.80 hours—and Z.ai's GLM-5.3 fully synthetic RL environment, judging, and verification stack. It frames these shifts as 'simulation': 10% worse but 100x cheaper and 10,000x faster than human equivalents.
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