Menu
Sign In Search Podcasts Charts People & Topics Add Podcast API Pricing
Podcast Image

Das KI-Kochbuch: KI-Tools | Unternehmens-KI | Leadership

E84 - AI Drama | Brazil's Lesbian Dating App Disaster: AI Security Flaw

19 Oct 2025

Description

Brazil’s Lesbian Dating App Disaster: AI Security Flaw🎧 Listen now: 👉 Spotify https://open.spotify.com/episode/249ZA6nHHoKmaiGYqY6Jum?si=91mGWjWJT-ur14At1KWpjA&nd=1&dlsi=a9615ac3d72642d5 👉 Apple Podcasts https://podcasts.apple.com/at/podcast/brazils-lesbian-dating-app-disaster-ai-security-flaw/id1846704120?i=1000732455609💔 DescriptionMarina thought she finally found safety. A lesbian dating app in Brazil — built by queer women, for queer women. Manual verification. No fake profiles. No men.Then everything went wrong.In September 2025, Sapphos launched as a sanctuary with government-ID checks. Within 48 hours, 40,000 women downloaded it. A week later, a catastrophic flaw exposed the most sensitive data of 17,000 users — IDs, photos, names, birthdays.🔍 One researcher discovered he could view anyone’s profile just by changing a number in a URL. That’s how fast “safety” can vanish when speed beats security.🧠 What This Episode CoversThis episode of AI Drama investigates how AI-generated code, underqualified devs, and “vibe coding” collided with a vulnerable community. It’s not a takedown of two activists — it’s a warning about asking for extreme trust without professional security.🎓 You’ll LearnHow a single IDOR-style bug leaked government IDs and photosWhy AI-generated code often ships with hidden flawsThe unique threats LGBTQ+ apps face in high-violence regionsWhat happened after the founders deleted evidence of the breachHow to spot red flags before uploading your ID anywhere⚠️ The Real Stakes🇧🇷 Brazil remains one of the most dangerous countries for LGBTQ+ people. Lesbian and bisexual women face three times higher rates of violence than straight women. For many Sapphos users, being outed wasn’t embarrassing — it was life-threatening.🧩 What Went WrongIdentity checks increased trust — but concentrated riskWhen one app collects IDs, selfies, and locations, a single bug exposes everythingAI sped up insecure coding — ~45 % of AI-generated code has vulnerabilitiesNo audits, no penetration tests, poor access controlLogs deleted → evidence erasedCommunication failed: instead of transparency, users saw silence and denial🚨 Red Flags Before Trusting an App✅ Verified security audits (SOC 2 / ISO 27001) ✅ Transparent privacy policy + deletion options ✅ Minimal data collection — no unnecessary IDs ✅ Public security contact or bug-bounty page ✅ Experienced, visible founding team ❌ Avoid apps claiming “100 % secure” or “completely private”🛡️ Safer Habits🔑 Use unique emails + a password manager 🕵️ Prefer privacy-preserving verification methods 📍 Turn off precise location & strip photo metadata 🆔 After any breach: change credentials, rotate IDs if possible, monitor credit💬 Notable Quotes“Marina’s only ‘mistake’ was trusting people who promised protection.”“The lesson isn’t don’t build — it’s don’t build insecure. Demand proof, not promises.”📊 Select Facts~45 % of AI-generated code shows security flawsLGBTQ+ users face more online harassmentBrazil records one LGBTQ+ person killed every ~48 hours🎙️ AI Drama is a narrative-journalism podcast about the human cost when technology fails those who trust it most. Hosted by Malcolm Werchota.

Audio
Featured in this Episode

No persons identified in this episode.

Transcription

This episode hasn't been transcribed yet

Help us prioritize this episode for transcription by upvoting it.

0 upvotes
🗳️ Sign in to Upvote

Popular episodes get transcribed faster

Comments

There are no comments yet.

Please log in to write the first comment.