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Last year, every major outlet ran the same story: 16 billion passwords exposed. Apple. Google. Facebook. The largest breach in history.
It was overblown. Security experts tore it apart within 48 hours.
But here's the thing: the real story underneath that headline is actually scarier. And nobody covered it.
It's called infostealer malware. It's been quietly running on millions of devices — stealing passwords, bypassing MFA, and feeding an underground credential economy that's behind nearly every major breach of the last two years. Ticketmaster. AT&T. Coinbase. All of it traces back here.
In this episode, I dig back into that story and break down:
Why the 16 billion number was a "fearset, not a dataset"What infostealer malware actually is and how it gets on your deviceWhy MFA doesn't fully protect you from this (and what does)The underground marketplace where your stolen credentials are sold within 48 hoursThe stat that should genuinely keep you up at night: 67 secondsSix things you can do right now to protect yourselfSHOW NOTES
Episode: Your Password Is Already For Sale
Last year, the 16 billion password story dominated headlines. The headline was overblown — but the real threat underneath it, infostealer malware, is what nobody talked about. It's an industrial-scale credential theft economy running quietly in the background, and it's the engine behind almost every major data breach of the last two years. We dug back into it because it's only gotten worse.
Resources mentioned:
Check if your email has been breached: haveibeenpwned.comFree password manager: bitwarden.comPremium password manager: 1password.comKey sources:
Cybernews — original 16 billion credential report (June 2025)CyberScoop — "The 16 billion password breach story is a farce"Flashpoint / DeepStrike — 1.8 billion credentials stolen in 2025 reportMicrosoft Security Blog — Lumma Stealer breakdownIBM X-Force Threat Intelligence Index 2025Verizon Data Breach Investigations Report 2025SANS Institute commentaryConnect:
🌐 theproblemlounge.com
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Gabe and I dig into Shiny Hunters and why the scariest cyberattacks now look like ordinary logins instead of dramatic break-ins. We map how credential theft, social engineering, and SaaS data exports turn basic security hygiene into the difference between a close call and a headline.
• Shiny Hunters’ scale, loose structure, and why takedowns rarely stick
• Why ransomware and extortion keep growing as a business model
• How the tactics evolve from Microsoft 365 and developer creds to SaaS platforms like Salesforce
• Credential stuffing, vishing, and smishing as “low-friction” intrusion paths
• The Snowflake-style failure mode of missing MFA and weak password practices
• Password reuse and how consumer breaches can cascade into enterprise access
• Data retention and why old records increase privacy risk
• Vendor risk and the shared responsibility model for identity and data
• Practical steps that improve security without relying on perfect users
If you guys have not been to our website, theproblemlounge.com, check it out. Got some new blogs up there. Sign up for the newsletter. Support us, follow us. Let’s get this out to more people.Support the show
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SHOW NOTESThe Pornhub breach is being reported as a data story. It's actually a story about shame as a weapon.
In December 2025, a hacker group called ShinyHunters claimed to have stolen 200 million records from Pornhub Premium users — including email addresses, locations, and intimate watch and search history. They sent extortion demands. The data was verified as real.
In this episode of Privacy Please, Cameron Ivey breaks down:
✅ What was actually stolen — and why it's worse than most breaches ✅ The three-way blame game between Pornhub, Mixpanel, and a mysterious 2023 employee access ✅ Why ShinyHunters is one of the most dangerous and active hacker groups operating right now ✅ The bigger question nobody's asking: why does this data still exist? ✅ Five things you can do right now to protect yourself
🔗 RESOURCES MENTIONED:
Check your email in breaches: haveibeenpwned.comFreeze your credit: annualcreditreport.com (links to all three bureaus)Data removal: DeleteMe — joindeleteme.comFollow the reporting: bleepingcomputer.com | malwarebytes.com/blog📰 SOURCE REPORTING:
BleepingComputer — ShinyHunters extortion demand (December 2025)Malwarebytes — Pornhub/Mixpanel/SoundCloud breach roundupEuronews — Pornhub investigation coverageReuters — user data verificationPanda Security — breach overview🎙️ Privacy Please is part of the Problem Lounge Network 🌐 theproblemlounge.com 📺 YouTube: The Problem Lounge Network
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In this episode of Privacy Please, Cameron Ivey investigates Palantir Technologies — a data analytics company founded in 2003 with CIA backing that has quietly become embedded across nearly every major arm of the U.S. federal government.
This week's investigation covers:
The USDA Deal On April 22nd, the Department of Agriculture signed a $300 million blanket purchase agreement with Palantir to build "One Farmer, One File" — a unified digital profile for every American farmer. The deal was awarded without competitive bidding.
The IRS Bombshell The same week, The Intercept revealed — based on documents obtained by watchdog group American Oversight — that Palantir has been running financial crime surveillance operations inside the IRS since 2018. The IRS has paid Palantir over $130 million for access to a platform that cross-references bank records, tax filings, transaction histories, and more across millions of Americans.
The Immigration Enforcement Machine Palantir's ICE contracts — now over $145 million — power the agency's case management, deportation targeting, and real-time location tracking of immigrants. A tool called ELITE creates individual dossiers on deportation targets by pulling data from the Department of Health and Human Services.
The Pushback That's Working New York City's public hospital network canceled its Palantir contract after community organizing and City Council pressure. In the UK, 229,000 people have signed petitions to remove Palantir from the National Health Service. Public pressure is moving the needle.
Five Things You Can Do Right Now Cameron closes with specific, actionable steps every listener can take — from requesting your IRS transcript to freezing your credit to contacting your representative about sole-source contracting.
Privacy Please is part of the Problem Lounge Network. New episodes weekly. theproblemlounge.com
Chapter Markers
00:00 — Cold Open01:30 — Intro & Show Welcome02:45 — Act One: The USDA Deal06:00 — Act Two: Who Is Palantir?11:30 — Act Three: The Empire Expands (ICE, Policing)17:00 — Act Four: Your Tax Returns Are In There Too24:00 — Act Five: The Layer Nobody's Talking About30:00 — Act Six: The Part That Gives Me Hope34:30 — What You Can Actually Do (5 Tips)39:00 — Closing Reflection (Adjust timestamps after editing)Support the show
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A normal data breach steals names and passwords. This one may have stolen the recipe for building the world’s most powerful AI models, and it happened through software most people will never notice until it breaks. We follow the Mercor breach from the first warning signs to the moment poisoned Python packages hit PyPI and spread in minutes across systems that were set to auto-update.
We walk through what Mercor actually does in the AI economy, especially RLHF (Reinforcement Learning from Human Feedback), and why that behind-the-scenes work shapes how tools from OpenAI, Anthropic, Meta, and Google behave. Then we unpack Lite LLM, the open source “plumbing” that connects apps to multiple AI services, and how a supply chain attack can bypass the company you’re targeting by compromising the dependencies everyone trusts.
From there, the focus shifts to the fallout: contractors whose Social Security numbers and identity documents may be exposed, companies scrambling to assess backdoors and credential theft, and the bigger fear that proprietary AI training data sets and labeling strategies are being auctioned on the dark web. We also dig into the compliance controversy around SOC2 and ISO 27001 style certifications and what happens when security audits become performance instead of protection.
If you care about cybersecurity, data privacy, AI governance, and open source risk, listen through to the end for concrete steps you can take right now. Subscribe, share this with a friend who uses AI tools, and leave a review with your take on who should be held accountable.
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You already knew you were the product. But did you know you're also the teacher?
Companies are quietly feeding your emails, your work decisions, your customer interactions, and your daily patterns into AI systems — systems designed to automate exactly what you do. And most people have no idea it's happening.
In this episode of Privacy Please, we break down how it works, who's doing it, why your right to delete your own data is functionally broken in the AI era, and what you can actually do about it.
What we cover:
How "function creep" turns your data into AI training fuel without new consentThe GitHub policy change that's happening right now — and how to opt outWhy employees at Amazon, Google, and JPMorgan described training AI as "building your own coffin."The deletion problem — why you can't remove yourself from a trained modelPractical steps to audit your tools and protect yourself todayLinks:
GitHub opt-out: github.com/settings/copilot/featuresKhan v. Figma lawsuit: rainintelligence.comFTC on AI data practices: ftc.govCheck your state privacy rights: iapp.org/resources/article/us-state-privacy-legislation-trackerDelete old posts: redact.devPrivacy Please is part of The Problem Lounge network. 🌐 theproblemlounge.com 🎙️ Subscribe on Apple Podcasts, Spotify, or wherever you listen
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Your anonymous account isn't anonymous anymore. Researchers just proved it costs $4 to find out who you are.
In February 2026, a team from ETH Zurich and Anthropic published a paper that quietly ended the era of practical online anonymity. Their AI pipeline, using nothing but your posts, comments, and forum activity, correctly identified 67% of pseudonymous users from a pool of 89,000 candidates. No name. No photo. No metadata. Just your words.
This episode breaks down exactly how it works, why it's different from every deanonymization scare before it, who's most at risk, and what you can actually do about it.
In this episode:
How the ESRC pipeline (Extract, Search, Reason, Calibrate) worksWhy previous anonymity attacks required structured data, and this one doesn'tWhy commercial AI safety guardrails didn't stop itWhat "practical obscurity" meant, and why it's goneConcrete steps to reduce your exposure todayLinks:
Research paper: arxiv.org/abs/2602.16800Delete your Reddit history: redact.devTor Project: torproject.orgSignal: signal.orgPrivacy Please is part of The Problem Lounge network. 🌐 theproblemlounge.com 🎙️ Subscribe on Apple Podcasts, Spotify, or wherever you listen
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Cameron and Gabe sit down with Girish Redekar, co-founder and CEO of Sprinto, to pull back the curtain on one of the most misunderstood areas of security: compliance.
Girish built his first startup, RecruiterBox, to 3,500 customers before selling it, and it was the painful, expensive, duct-taped compliance process he experienced firsthand that sparked the idea for Sprinto. Today, Sprinto helps companies move beyond point-in-time audits into something far more valuable: continuous, autonomous trust.
In this episode, we dig into:
Why passing a SOC 2 or ISO 27001 audit doesn't mean you're actually secureThe three stages of compliance maturity — and how to climb themWhat "compliance debt" is and why it's quietly eating your businessHow smart CISOs use their security posture as a revenue driver, not a back-office cost centerThe "$100/month" challenge: what actually moves the needle for startupsHow AI is reshaping compliance programs — for better or worseWhy Girish spent over a year talking to customers before writing a single line of codePlus: the "sell more jeans" framework every CISO should know, Rich Hickey, The Mom Test, and the toilet paper question.
🔗 Find Sprinto at sprinto.com
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How a Super Bowl dog commercial accidentally revealed America's surveillance infrastructure
A family loses their dog. Ring runs a Super Bowl ad. America collectively goes "wait… what?"This week, we're digging into Ring's "Search Party" feature, the AI-powered doorbell camera tool that lit up millions of living rooms during the big game and immediately made privacy experts lose their minds. Because what looked like a heartwarming story about finding your lost lab was actually a live demonstration of a nationwide networked surveillance system most people didn't know they were part of.
We follow the trail from the commercial to the backlash, from a secret police surveillance partnership that quietly got canceled mid-chaos, to an 84-year-old woman's "deleted" doorbell footage that the FBI recovered anyway.
There's a lost dog. There's Amazon. There's a company called Flock Safety that you need to know about. And there's a question worth asking before you go home and look at your front door.
They sold you a puppy. They built a network.
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Autonomy sounds like progress until the system turns your choices against you. We dive into how AI agents change the risk equation, why “don’t trust, verify” now beats “trust but verify,” and what to do when the update button itself becomes the attack vector.
We start with the Ivy League leak tied to Harvard and UPenn, where attackers exposed admissions hold notes that map influence rather than credit cards. That context turns routine records into leverage for extortion, social pressure, and geopolitical targeting. From there, we trace the surge of agentic AI in the workplace as employees paste code, legal docs, and sensitive files into chat interfaces. The real accelerant is MCP, the model context protocol that standardizes connections across Google Drive, Slack, databases, and more. Like USB for AI, MCP makes integration simple and powerful, but a single prompt injection can pivot across everything the agent can reach.
Security gets messier with supply chain compromise. A China‑nexus campaign allegedly hijacked the Notepad++ update mechanism, handing a bespoke backdoor to developers who did the right thing. We unpack how to keep patching while reducing risk: signed updates, independent checksum checks, tight egress policies for updaters, and strong monitoring around update flows. On the policy front, Rhode Island’s vendor transparency rule forces companies to name who buys data. It is a nutrition label for privacy, and it lets users and watchdogs finally connect the dots between friendly interfaces and aggressive brokers.
We close with concrete defenses that raise the floor. Move high‑value accounts to FIDO2 hardware keys or platform passkeys to block phishing at the protocol level. Scope agent permissions narrowly, isolate MCP connectors by function, and require explicit approvals for sensitive actions. Log everything an agent touches and review those trails. Autonomy should be earned, minimal, and observable. If AI is going to act on your behalf, it must prove itself at every step.
If this conversation helps you think differently about agents, influence mapping, and how to lock down your stack, subscribe, share with a teammate, and leave a quick review telling us the one control you plan to implement this week.Support the show
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We kick off season seven with a tour of the year’s early privacy & security news: neighborhood watchtowers from Ring, a rival-led hack of Breach Forums, a massive stitched leak in France, a heavy Microsoft patch drop, AI agents on the rise, and new state privacy laws. We share practical steps: self-host cameras, freeze your credit, harden identity portals, and keep humans in the loop when AI handles sensitive data.
• CES unveils Ring’s neighborhood watchtower and its surveillance tradeoffs
• Why self‑hosted DVR systems beat cloud video for privacy
• Breach Forums doxxed by rivals and lessons in OPSEC
• France’s 45 million record “combo” leak and re‑identification risks
• Credit freezes, hard vs soft inquiries, and portal security
• Microsoft’s 114 patches and sane patch management
• AI agents escalating breach risk and human‑in‑the‑loop controls
• New privacy laws in Indiana, Kentucky, and Rhode Island and actionable rights
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We look back at 2025’s privacy and security reality: useful AI where data was ready, repeating breach patterns, and infrastructure limits that slowed the hype. We call out backdoors, weak 2FA, and the shift toward passkeys, decentralization, and owning more of our stack.
• AI succeeds when data, process and governance are mature
• Power, chips and cost constraints limit AI growth
• SALT Typhoon shows backdoor risk and patching failures
• SMS 2FA remains weak while passkeys gain ground
• Data hoarding expands breach blast radius
• Streaming consolidation drives algorithm control and piracy’s return
• Decentralization and self‑hosting rebuild trust with users
• 2026 outlook: AI contraction, ML pragmatism, fewer but stronger tools
Check out our website: the problemlounge.com
If you have episode guest ideas or topics you want us to talk about, please send them our way
Go check out YouTube channel, Privacy Please Podcast
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It is Monday, December 15th, and the battle for Hollywood has officially gone nuclear.
What started as an $82 billion acquisition by Netflix has morphed into a $108 billion hostile takeover battle with Paramount Skydance. As of this morning, stocks are volatile, the government has frozen the deal, and a massive Class Action Lawsuit has just been filed to burn it all down.
In this Special Report from Privacy Please, we break down the chaos of the last 72 hours. We uncover the "National Security" weapon Netflix is using to kill the deal, the foreign money backing Paramount, and the leaked memos that reveal why executives are selling you out.
No matter who wins—the Algorithm or the Oligarchs—your privacy is the casualty.
Time Stamps / Key Moments:
0:00 - Monday Morning Chaos: Stocks Halted & The $108B Counter-Bid
2:15 - Future A vs. Future B: The Algorithm Era vs. The Oligarch Era
5:30 - BREAKING: The "National Security" Argument & Class Action Lawsuit
8:45 - Leaked Memos: The "Golden Parachute" Betrayal
11:20 - The Fallout: Why Streaming Prices Will Hit $35/Month
What you'll uncover in this deep dive:
The Weekend of Chaos: A complete timeline of how Netflix lost control of the deal over the weekend.
The "Foreign Money" Threat: Why Paramount's backing by sovereign wealth funds has regulators panicked.
Netflix's Hypocrisy: How the surveillance giant is weaponizing "privacy" to stop their competitors.
The Consumer Cost: Why the era of cheap streaming is officially dead.
Join the Community: We are building a community dedicated to navigating these complex digital issues.
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#WarnerBros #Netflix #Paramount #StreamingWars #PrivacyPlease #Antitrust #FTC #DataPrivacy #Hollywood #BreakingNews #ClassAction #StockMarketSupport the show
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A week where the lawful intercept backdoor became the front door, a supply chain hop hit 200+ companies, a bargain app faced a malware lawsuit, and a university breach turned into a donor-targeting roadmap. We share simple moves to lower risk fast and set guardrails that actually hold.
• Salt Typhoon abusing CALEA at major US telecoms
• Negligence, unpatched routers and weak passwords
• Why SMS is transparent and how to switch to Signal
• Kill SMS 2FA and use authenticators or YubiKey
• Gainsight-to-Salesforce island hopping at scale
• Audit connected apps and revoke stale API keys
• Arizona AG lawsuit calling Timu malware
• Shop via browser sandbox and use masked payments
• UPenn donor data leak and Oracle exploit
• Whaling protections with voice verification and data scrubbing
• Practical recap: trust nothing, verify everything
Please follow us or subscribe on your podcast app, and watch the video on our YouTube or at theproblemlounge.com. If you have topics or guest ideas, we would love to hear from youSupport the show
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A sleepless night, a soft prompt, and a flood of relief—the rise of AI therapy and companion apps is rewriting how we seek comfort when it matters most. We explore why these tools feel so human and so helpful, and what actually happens to the raw, intimate data shared in moments of vulnerability. From CBT-style exercises to memory-rich chat histories, the promise is powerful: instant support, lower cost, and zero visible judgment. The tradeoff is less visible but just as real—monetization models that thrive on sensitive inputs, “anonymized” data that can often be re-identified, and breach risks that turn private confessions into attack surfaces.
We dig into the ethical edge: can a language model provide mental health care, or does it simulate empathy without the duty of care? We look at misinformation, hallucinated advice, and the way overreliance on AI can delay genuine human connection and professional help. The legal landscape lags behind the technology, with HIPAA often out of scope and accountability unclear when harm occurs. Still, there are practical ways to reduce exposure without forfeiting every benefit. We walk through privacy policies worth reading, data controls worth using, and signs that an app takes security seriously, from encryption to third‑party audits.
Most of all, we focus on agency. Use AI for structure, journaling, and small reframes; lean on people for crisis, nuance, and real relationship. Create boundaries for what you share, separate identities when possible, and revisit whether a tool is helping you act or just keeping you company. If you’ve ever confided in a bot at 2 a.m., this conversation gives you the context and steps to stay safer while still finding support. If it resonates, subscribe, share with a friend who might need it, and leave a review to help others find the show.Support the show
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In this episode of Privacy Please, host Cameron Ivey discusses significant security threats, including a critical vulnerability in Microsoft's WSUS, a major data breach at the University of Pennsylvania, and the emergence of sophisticated malware known as Glassworm. The conversation highlights the importance of cybersecurity measures and the potential consequences of negligence in IT security.
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She has millions of followers, lands six-figure brand deals, and lives a life of curated perfection. The only catch? She isn't real. She was entirely created by artificial intelligence.
Welcome to the unsettling world of synthetic influencers.
In this compelling episode of Privacy Please, we dive deep into the booming industry of AI-generated online personalities. Discover:
The Technology: How advanced AI image generators, 3D modeling, and Large Language Models combine to create hyper-realistic avatars and their compelling "personalities."The Business Case: Why major brands and marketing agencies are investing millions in digital beings that offer total control, scalability, and no risk of scandal.The Privacy & Ethical Dilemmas: We explore the "uncanny valley" of trust, the impact of deception by design, the new extremes of unrealistic beauty standards, and the potential for these AI personas to be used for sophisticated scams or propaganda.The Future of Authenticity: What does the rise of the synthetic star mean for human creativity, genuine connection, and the very definition of "real" in our digital world?It's a future that's already here, shaping what we see, what we buy, and even what we believe.
What are virtual/synthetic influencers?Examples: Lil Miquela, Aitana Lopez, Shudu GramAI technologies used: image generation, 3D modeling, LLMsReasons for their rise: control, cost, scalability, data collectionEthical concerns: deception, parasocial relationships with AIImpacts: unrealistic standards, displacement of human creators, potential for malicious use (scams, propaganda)Debate around regulation and disclosure for AI-generated contentThe future of authenticity and trust online
Key Topics Covered:Connect with Privacy Please:
Website: theproblemlounge.comYouTube: https://www.youtube.com/@privacypleasepodcastSocial Media:LinkedIn: https://www.linkedin.com/company/problem-lounge-networkResources & Further Reading (Sources Used / Suggested):
Federal Trade Commission (FTC):Guidelines on disclosure for influencers (relevant for future AI disclosure discussions)Academic Research:Studies on parasocial relationships with media figures (can be applied to AI)Research on the ethics of AI and synthetic media.Industry Insights:Reports from marketing agencies on virtual influencer trendsArticles from tech publications (e.g., Wired, The Verge, MIT Tech Review) covering Lil Miquela and similar figures.Support the show
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We unpack how Apple’s Memory Integrity Enforcement changes the rules of mobile security by rebuilding memory architecture, not just adding guardrails. We weigh who should upgrade now, what this means for Android, and why people remain the biggest risk.
• memory corruption explained with apartment analogy
• why NOP sleds and heap sprays fail under MIE
• tags, type segregation, and synchronous checks at runtime
• market-share vs design: Apple, Windows, Android trade-offs
• Pegasus, zero-click exploits, and threat profiles
• game hacking parallels: reading vs corrupting memory
• should you upgrade: high-risk users vs everyday users
• why architecture-level security beats bolt-on toolsSupport the show
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You click "agree," you swipe a loyalty card, you browse online – every digital breadcrumb you leave is being collected, but not just by the apps and websites you use. Welcome to the world of data brokers, a multi-billion-dollar, hidden industry that aggregates, analyzes, and profits from your most intimate personal information.
In this special episode from Privacy Please, we pull back the curtain on this shadowy ecosystem. Discover:
What a data broker is and how they differ from typical tech companies.Where they get your data – from public records and online activity to your shopping habits and app usage.Who they sell your data to – marketers, financial institutions, insurers, political campaigns, and even law enforcement.The alarming real-world impacts, from hyper-targeted ads and scams to potential discrimination and exploitation.This industry operates with minimal regulation in the United States, leaving most consumers vulnerable.Actionable steps you can take right now to reclaim some control over your personal information, including data removal requests and essential digital hygiene.It's an invisible trade happening without your consent, and you are the product. Listen now to understand the true price of your digital life.
Key Topics Covered:
What are data brokers?Sources of personal data collectionTypes of data collected (demographics, health, financial, behavioral)Who buys data broker profiles?Impacts: targeted ads, scams, discrimination, political targetingLack of federal regulation in the U.S.Consumer rights (e.g., CCPA)Steps to protect your privacy from data brokersData removal servicesDigital hygiene best practicesConnect with Privacy Please:
Website: https://theproblemlounge.com/YouTube: https://www.youtube.com/@privacypleasepodcast7446Social Media:LinkedIn: https://www.linkedin.com/company/problem-lounge-networkResources & Further Reading (Sources Used):
Federal Trade Commission (FTC):Data Brokers: A Call for Transparency and Accountability (FTC Report, 2014) FTC consumer advice on data brokers and privacyConsumer Reports:Articles and investigations into data brokers and data removal servicesElectronic Frontier Foundation (EFF):Privacy resources, including "Surveillance Capitalism" explanationsCalifornia Consumer Privacy Act (CCPA):Official information on consumer rights in CaliforniaIdentity Theft Resource Center (ITRC):Information on scams and data exposureAcxiom, Oracle, Epsilon, Experian, etc.Support the show
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Privacy and cybersecurity leader Sonia Siddiqui joins us to explore the collision between emerging technologies and privacy regulations, offering insights on how companies can navigate this complex landscape while building trust.
• Sonia's journey from aspiring architect to privacy expert, motivated by the intersection of civil rights and privacy
• The growing gap between rapid technological innovation and slower-moving regulatory frameworks
• Examining real-world tensions like WorldCoin's iris scanning under GDPR's biometric data provisions
• Why privacy should be a core business enabler rather than just a compliance checkbox
• The importance of implementing privacy by design as a living process that evolves with technology
• Why principles-based regulation allows for better adaptation to new technologies than prescriptive rules
• The inseparable relationship between privacy and security in building customer trust
• How privacy professionals can stay current through professional networks, podcasts, and continuous learning
• Essential privacy resources including "The Unwanted Gaze" and "Dieterman's Field Guide to Privacy"
Find Sonia and her privacy consulting practice at tamarack.solutions or connect with her at the upcoming AI conference in Boston.Support the show
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