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⚡ THN Weekly Recap: Top Cybersecurity Threats, Tools and Tips [3 February]
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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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MIT creates method to force AI to comply with safety rules
MIT researchers published HardFlow, a method enforcing hard safety constraints on flow-matching generative models' final outputs without retraining.
MIT researchers led by Zeyang Li and Navid Azizan developed HardFlow, a trajectory-optimization method that enforces strict, non-negotiable constraints on flow-matching generative models by checking rule satisfaction only at the final generation step. Published in IEEE TPAMI, it outperformed six rival projection and guidance methods on four simulated benchmarks including D3IL robotic manipulation, Maze2D, physical process control, and image editing. All results are simulation-only, with no independent reproduction yet reported.
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Thelio Mira AI Linux Workstation: 192 GB GPU Memory
System76 launches the Thelio Mira AI Linux workstation from $3,299 with dual NVIDIA RTX Pro 6000 GPUs and 192 GB GPU memory for local AI workloads.
System76's Thelio Mira AI is a locally built (Denver, Colorado) Linux workstation for AI training, fine-tuning, and inference, starting at $3,299. Configurations go up to a 16-core AMD Ryzen 9000 CPU, 192 GB DDR5 RAM, and dual NVIDIA RTX Pro 6000 Blackwell GPUs delivering 192 GB of (ECC) GPU memory with liquid cooling, dual PCIe 5.0 x16 slots, and up to three M.2 NVMe drives. It ships with Pop!_OS 24.04 LTS or Ubuntu and is positioned as a way to avoid recurring cloud GPU costs.
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Why AI food looks like that
Experts explain why AI-generated food images look unappetizing, citing diffusion model limitations, weak structural reasoning, and stylized training data.
The Verge examines why AI-generated food imagery from restaurants and brands often appears grotesque, citing researchers from Oxford, Naples, Zurich, and London. Diffusion models recover coarse structure before fine texture, so structural errors like extra fingers or donut shrimp get baked in early. Researchers note the models are weak at thin, continuous, terminating structures such as noodles, and reproduce the glossy conventions of professional food photography without understanding the objects. Odd internet imagery and memes in training data further skew outputs toward strange textures and clustered holes.
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The world must establish red lines for autonomous AI weapons
Opinion piece calls for international red lines on autonomous AI weapons after a Russian AI-guided drone autonomously killed three civilians in Zaporizhzhia.
The author urges enforceable international agreements governing autonomous weapon systems, citing a July 2026 incident where a Russian drone struck a gas station in Zaporizhzhia, killing three Ukrainian civilians. Ukrainian investigators found the drone carried an Nvidia Jetson Orin chip, and the onboard AI reportedly selected the specific target without a human making the final decision. The piece argues existing international humanitarian law lacks specific standards for weapons that independently select and engage targets, and points to UN and ICRC deliberations plus the Global Council for Responsible AI's red-line framework.
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Hackers Stole Flock’s Camera Software, Revealing How the Company Tracks Cars and People
Hackers who removed a Flock Safety license plate camera dumped its data, revealing person-detection capabilities and an encryption key stored unencrypted on the device.
A hacker collective calling itself stegan0gram physically removed a Flock Safety automatic license plate reader camera from a roadway, copied its storage, and shared the files with 404 Media, WIRED, and Distributed Denial of Secrets. Analysis found an encryption key in an unencrypted 'media' partition that unlocked videos of thousands of vehicle detections, with logs showing more than a million images generated in weeks. The software explicitly detects people, bicycles, and even bumper stickers, and records from one Georgia city were searchable by more than 2,000 agencies nationwide. The findings follow 2025 research by Jon Gaines documenting flaws enabling root-level access to Flock cameras.
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Hackers Got Inside a Flock Camera. Its Data Shows How the System Really Works
Hackers stole a Flock Safety camera, copied its storage, and recovered an encryption key exposing vehicle surveillance data and system internals.
Hackers from the collective stegan0gram removed a Flock Safety license plate reader from a roadway, copied its storage, and recovered an encryption key stored in an unencrypted partition, unlocking videos of thousands of vehicle detections. The data, shared with 404 Media, WIRED, and Distributed Denial of Secrets, shows the camera generated roughly 1.6 million images of about 50,200 vehicles over 21 days and detects people, bicycles, and bumper stickers in addition to license plates. The dump follows 2025 research by Jon 'GainSec' Gaines documenting flaws enabling root access, which Flock downplayed. Flock's national network makes camera records searchable by more than 2,000 agencies, fueling controversy over police and immigration lookups.
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Former TikTok execs built an app that uses AI to teach you how to pose for a photo
Ex-TikTok employees launched Superpose, an iOS camera app using generative AI to suggest photo poses, with $2.2M raised.
Former TikTok employees Melody Chu and Jing Liu launched Superpose, an iOS camera app that generates four AI pose suggestions per photo, with over 22,000 downloads and 190,000 poses generated since July. The app offers five free generations daily, with paid packs of five for $2.99 or 20 for $9.99. The startup raised $2.2 million from Khosla Ventures, Meitu, and OVTR VC, competing with Google's Camera Coach and Adobe's AI photo critique features.
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Feds accuse China of ‘systematic’ distillation of U.S. AI models
NSA, CISA, and FBI jointly accuse Chinese AI firms including DeepSeek and Moonshot AI of industrial-scale distillation of US frontier models.
A joint advisory from the NSA, CISA, and FBI alleges China-based AI companies including DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun, and Z.AI have systematically extracted capabilities from US frontier models since at least late 2024. The companies allegedly spent billions of tokens across millions of requests against Claude, ChatGPT, Gemini, and Grok, routing traffic through multiple accounts, platforms, proxies, and third-party aggregators to evade detection. Moonshot AI allegedly distilled 18 US models, including Anthropic's most advanced model, to train its Kimi-K2 and Kimi K3 models.
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China-Based Artificial Intelligence Companies Conducting Industrial-Scale Distillation Campaigns Against U.S. AI Companies
NSA, CISA, and FBI warn DeepSeek, Alibaba, and other Chinese AI firms ran industrial-scale distillation of U.S. frontier models, threatening U.S. AI leadership.
A joint NSA, CISA, and FBI Cybersecurity Advisory (AA26-251A) says China-based firms DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun, and Z.AI extracted billions of tokens from U.S. frontier models including Claude, GPT, Gemini, and Grok, likely with Chinese government knowledge. Campaigns running since at least late 2024 used native APIs, cloud providers, third-party aggregators, gray-market proxy "transfer stations", and shared premium subscriptions to bypass geographic restrictions, evade safeguards, and violate providers' terms of use. The agencies recommend detecting anomalous prompts, accounts, and usage patterns; subtly altering responses to suspected distillers; and cross-organization intelligence sharing. They also call DeepSeek's publicly cited $5.6M training cost misleading because it excludes data acquired through distillation.
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VU#456290: Hugging Face Transformers library writes remote code to disk prior to consent check
CVE-2026-80047: Hugging Face Transformers 4.49.0 through 5.8.1 writes attacker-controlled Python files to disk before the trust_remote_code consent check.
CERT/CC vulnerability note VU#456290 describes CVE-2026-80047 in the Hugging Face Transformers library, affecting versions 4.49.0 through 5.8.1. The library performs a remote module fetch and writes attacker-controlled Python files to the local disk before evaluating the trust_remote_code consent prompt, without user authorization. This violates the security contract enforced across other dynamic module-loading paths in the library. Transformers is a primary framework for training and inference across NLP, vision, audio, video, and multimodal machine learning systems.
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