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🚨 Threat Intelligence | The StealC Info-Stealing Chain Behind the Qwen Impersonation Repository SlowMist Security Team identified a #GitHub# repository impersonating local quantized weights for Qwen 3.8 27B. A real Q4_K_M 27B package should exceed 16 GB. The asset delivered was only 487 KB — no GGUF weights, just three files: Application.cmd, a renamed LuaJIT interpreter, and an obfuscated Lua script disguised as cert.txt. The official #Qwen# project was not compromised. The repo kept the look of a normal offline model project, while the malicious ZIP sat in assets/. After deobfuscation, the script collects host data, takes a screenshot, and POSTs them to C2. When the hardcoded server fails, it reads a fallback C2 from a Polygon contract via eth_call, so operators can rotate infrastructure with a single on-chain transaction. Preserved C2 responses then delivered an inner payload we attribute to #StealC#, targeting: 🔹 Browser logins, cookies, and history — including a Chrome App-Bound Encryption bypass 🔹 Email, WinSCP, and Steam credentials 🔹 Wallet-related files and extension data, dispatched by server-side tasks MistEye reconstructed the multi-stage chain and compared 29 similar ZIPs across 23 repositories using the same Lua delivery stack. Between two collection dates, repositories, filenames, the outer PE, and the AES key had already rotated. A 27B model that downloads in 487 KB is not a model. Inspect asset size and unpack downloaded packages before running them. Read the full analysis 👇

The girl in this video turned 18 on the streets of Kensington. She smokes fentanyl off tin foil and pays for it with dates, $50 to $100 a day. Her name is Sedona. She hates every date she goes on. She says if she gets clean, she wants to be a nurse, because she likes helping people. In the video below she describes her 18th birthday. "It was just like a normal day." How did it start? She tore her ACL in a bike crash and got prescribed Percocet. When pills on the street got too expensive, she switched to dope because it was cheaper. Where's her family? Her grandma kicked her out. "I don't really have parents. They're addicts too." School? She made it to junior year. She once got three months clean. Her grandma got her into rehab, and she started playing ice hockey. She was a goalie. Two weeks before this interview, she relapsed. How else does she make money? Asking for change on the train. Stealing. On a day without a date, she makes $5 or $10. What are the men like? "Some of them are just lonely men. None of them are fun." Why does she smoke it instead of snorting? She likes the taste. The worst thing she's seen out there: someone stabbed to death. "I still think about it to this day." People on the block tell her all the time that she's too young to be there. Her three wishes: to get sober with no cravings. A ton of money. And a PC for Fortnite. She's 18, so on paper every choice is hers now. Is she a kid who never had a chance, or an adult who has to own this?

Great deals are done silently. 🤫 Stealth Bids: make an offer on an NFT you love, and only the owner sees it. No public bidding war to get outbid in. Off-Market Asks: set your asking price privately. Only you see it, and when a bid meets or beats your price, it sells automatically. Explore both on GONDI.

OpenAI has yet to release GPT-6.2. There can only be three reasons: 1) They were surprised by how capable Fable 5.2 is and had to make GPT-6.2 better. 2) They found security vulnerabilities or other issues that need to be fixed. 3) Anthropic is going public next week, and OpenAI knows GPT-6.2 surpasses both Fable 5.2 and Opus 5.5. They’re trying to steal the spotlight ahead of their own planned IPO in 2027. I’m torn between 1 and 3, but I honestly don’t know. My gut tells me OpenAI was surprised by how good Fable 5.2 is. Either way, I expect GPT-6.2 to be released before November 19.

You just can’t make this up Rep. Ro Khanna sold Nvidia $NVDA perfectly at the top One month later, CEO Jensen Huang admitted to an affair with a suspected Chinese spy $NVDA is down 26% since Khanna sits on the House committee that investigates China’s attempts to steal US tech To be fair, he's said his trades are run by a 3rd-party But he's also stated “Members of Congress should not be trading stocks”

In the previous 40 matchups, 33 were regular-season games and seven came in that classic 2016 Western Conference Finals when Curry’s Warriors came back from a 3-1 deficit to beat the Thunder. In those head-to-head matchups, Durant’s teams are 24-16. Curry has averaged 25.5 points, 6.3 assists, 4.9 rebounds and 1.7 steals while shooting 47.6% from the field and 41.4% on 3-pointers. Durant has averaged 29.5 points, 8.4 rebounds, 4.5 assists, 1.4 blocks and 1.2 steals and shot 47.6% from the field and 42.3% on 3s. There have been some classics between the two, including 31 times when at least one of them has scored at least 30 points in a game.

“Through the first three weeks of the season, rookie Yaxel Lendeborg has been perfect for the Golden State Warriors, and the Warriors have been perfect for Lendeborg. [His] scoring and shooting have been impressive, but he’s also collecting rebounds, assists, blocks and steals.” Yaxel Lendeborg (21.4 PPG, 7.2 RPG, 4.0 APG) rises to the top of @JeffZillgitt’s Kia Rookie Ladder! See the full list and breakdown on the NBA App.

I've been doing SEO for 10 years and I've just spent 2 weeks obsessing over the design of our new SaaS blog. I think I've finally cracked it. The perfect blog design for SEO, AI search and actually turning readers into customers. (I'm rolling it out on soon and I'll share the results) Here's how you can do the same: 1. Optimise the title and metadata Use a keyword-focused H1 that matches search intent. Make the topic clear and include accurate publication and update dates. 2. Establish credibility immediately Show who wrote and reviewed the article, their credentials and first-hand experience. Give readers a reason to trust it. 3. Present your solution above the fold If someone lands with a problem your product solves, why make them scroll to discover it? Show your solution immediately with a relevant offer and CTA. 4. Lead with key takeaways Summarise the most important information at the top. Use short, scannable bullet points that help readers find answers quickly and AI systems interpret your content. 5. Keep your CTA visible Add a sticky sidebar as readers scroll. Highlight your product's key benefits and make it easy to get started. 6. Structure content for SEO and AI search Use descriptive H2s and H3s, short paragraphs, bullets and internal links. Answer questions directly so readers and search engines can follow. 7. Use tables and original visuals Include comparison tables, original screenshots, diagrams and real examples. Give readers something useful they won't find in generic AI-generated articles. 8. Add contextual conversion opportunities Don't rely on one CTA. Introduce your product naturally where it's relevant, connecting each offer to the problem you're solving. 9. Back up your claims with evidence Use original research, real data, expert insights and credible sources. Don't just tell people something works, show them the evidence. 10. Finish with a strong conversion CTA Once someone's finished reading, give them a next step. Reinforce your product's benefits, add social proof and make it easy to convert. A few extra things: Add a table of contents for navigation, FAQs for related questions and related articles to keep readers exploring through internal links. And most importantly, measure the results. Not just rankings, traffic and AI citations, but actual signups, leads and revenue. There's no point getting 1,000s of visitors to your blog if none of them become customers. And there's no point having a beautiful, high-converting blog if nobody can find it. The goal is to get discovered AND convert. I've included the full visual cheatsheet below: (Feel free to steal the design for your own site)