惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

N
Netflix TechBlog - Medium
J
Java Code Geeks
爱范儿
爱范儿
雷峰网
雷峰网
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
博客园 - 三生石上(FineUI控件)
H
Hackread – Cybersecurity News, Data Breaches, AI and More
B
Blog RSS Feed
Google DeepMind News
Google DeepMind News
Jina AI
Jina AI
The GitHub Blog
The GitHub Blog
I
InfoQ
月光博客
月光博客
博客园 - 聂微东
博客园 - Franky
The Cloudflare Blog
阮一峰的网络日志
阮一峰的网络日志
博客园_首页
G
Google Developers Blog
Blog — PlanetScale
Blog — PlanetScale
L
LangChain Blog
罗磊的独立博客
Apple Machine Learning Research
Apple Machine Learning Research

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
Stealer logs in XposedOrNot
Devanand Premkumar · 2026-06-18 · via DEV Community

I've been running XposedOrNot for years now. The pitch has always been simple: type in an email, find out if it's turned up in a data breach. Free, no signup, open source. Millions of lookups later, it still does exactly that.

But I've had a nagging feeling for a while that we were only answering half the question.

When someone asks "has my email been exposed?", a breach is the obvious answer. Some company got hacked, their user table leaked, your record was in it. Fair enough. But there's a second way your data ends up for sale, one that has nothing to do with a company being careless, and it's been growing fast: stealer logs.

I finally built coverage for them. We're starting with one source, AlienStealer, and more are on the way. Here's what it is, why it nagged at me, and how to actually use it.

Breach vs. stealer log, in plain terms

A breach is server-side. One service gets popped, the records for that service spill out. You reset that one password and you're mostly fine.

A stealer log is the other end of the spectrum. It's client-side. Some bit of infostealer malware lands on a device (a cracked installer, a sketchy "free" tool, a phishing attachment) and quietly scrapes whatever the browser and local apps will hand over. Saved passwords, autofill, crypto wallets, and the part that actually bothers me, session cookies and tokens. All of it, across every site that device touches, packaged into a "log" and sold.

Data breach Stealer log
Comes from A service's database An infected device
Scope One account, one service Every saved login on the device
Payload Mostly credentials Credentials, plus live cookies and tokens
What fixes it Reset that password Treat the whole device as compromised

Here's the bit I want every developer to sit with for a second. Stealer logs include live session cookies. An attacker can sometimes replay a session straight into a logged-in state without ever touching the password, and without tripping MFA. If you build auth for a living, "but they had 2FA on" stops being the comfort it usually is.

Those stealer logs are exactly what account-takeover and ransomware crews buy to skip straight past the front door. So yeah, I wanted XposedOrNot to actually see this.

What I shipped

Stealer-log hits now show up in the same lookups you already use. Same email search, same API. The one difference is the type: an entry that came from a stealer log is tagged as one, so you can tell it apart from a regular breach and handle it differently. Because you should.

AlienStealer is the first source in. It won't be the last.

Using it

If you've touched the API before, there's nothing new to learn. Free endpoint, no key:

curl https://api.xposedornot.com/v1/check-email/you@example.com

{
  "breaches": [["LinkedIn", "Tesco", "AlienStealerLogs"]],
  "email": "you@example.com"
}

That just gives you names. To tell a stealer log apart from a regular breach, pull the breach record from /v1/breaches. The field you want is breachType:

curl "https://api.xposedornot.com/v1/breaches?breach_id=AlienStealerLogs"

{
  "status": "success",
  "exposedBreaches": [
    {
      "breachID": "AlienStealerLogs",
      "breachType": "Stealer Logs",
      "exposedData": ["Email addresses", "Passwords", "Browser Cookies", "Autofill Data"],
      "exposedRecords": 1542300,
      "passwordRisk": "plaintext",
      "searchable": true,
      "verified": false
    }
  ]
}

breachType is your branch point. Everything else (exposedData, exposedRecords, passwordRisk, verified, and so on) is there too. The values above are illustrative, but the field names are straight from the API source.

Need the per-email picture instead of the per-breach record? breach-analytics returns the same source under ExposedBreaches.breaches_details, in snake_case:

curl "https://api.xposedornot.com/v1/breach-analytics?email=you@example.com"

{
  "breach": "AlienStealerLogs",
  "xposed_data": "Email addresses;Passwords;Browser Cookies;Autofill Data",
  "xposed_records": 1542300,
  "xposed_date": "2024",
  "password_risk": "plaintext",
  "searchable": "Yes",
  "verified": "No"
}

One gotcha worth knowing: breach-analytics doesn't carry the type flag, so if you're classifying sources, branch on breachType from /v1/breaches. No SDK needed for any of this, plain requests does it:

import requests

r = requests.get("https://api.xposedornot.com/v1/breaches",
                 params={"breach_id": "AlienStealerLogs"})
for b in r.json().get("exposedBreaches", []):
    if b["breachType"] == "Stealer Logs":
        print(f"{b['breachID']} is a stealer log: {b['exposedData']}")

Where I'd actually wire this in

  • At signup or login. If an account's credentials show up in a stealer log, step up verification. The password may already be replayable, so don't lean on it alone.
  • Across your org. One infected laptop can quietly expose a company. The domain exposure check scans a whole validated domain, and the CXO / VIP dashboard keeps watch on the people attackers go after first.
  • In your SOC playbooks. A stealer-log hit is a strong signal to kill active sessions, not just force a reset.

The part I care about most

XposedOrNot has been open source since day one, and that doesn't change because we added a new data type. The API is MIT licensed, and the whole thing is on GitHub. Password checks use k-anonymity, so only a partial hash ever leaves your machine, and email lookups aren't stored. You don't have to take my word for any of it. Read the code.

If you give it a spin and it earns a spot in your stack, a star on GitHub honestly makes my day. And if something's broken, or you've got an idea for the next stealer source we should add, tell me.
That's half the reason it's open.

Go check an email or a domain. Worst case, you learn something.

Devanand Premkumar,
Founder XposedOrNot