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Series
15 posts

Bug Bounty from Zero

Starting from the bug bounty reward tables, a plain-language path through web bugs, RCE, memory, VM escapes and TEEs for readers with no security background, each post grounded in verifiable official sources.

Series guide

The Two Most Common Web Bugs, XSS and IDOR, and Why Google Pays Them Differently

XSS happens when a site puts user input into a page unchanged, so another person's browser runs it as code; the fix is escaping on output. IDOR happens when a server hands over whatever id it is asked for without checking the record is yours; the fix is an ownership check on the server. Google's table puts XSS under 'execute code on the client' (C0), $10,000 base on a standard Google app, and IDOR under logic flaws (S2), priced by how sensitive the exposed data is: on the same standard Google app, $3,133.7 to $31,337.

Why RCE Pays the Most in Google's Reward Table: Command Injection and Unsafe Deserialization

RCE means an outsider can make someone else's machine run code. In Google's table, for a normal *.google.com app, RCE has a $75,000 base reward against $10,000 for XSS. The two beginner paths are user input glued into a shell command and deserializing untrusted data; the fixes are argument lists and JSON.

How to Write a Bug Report That Earns the Full Reward: Quality Multipliers, a One-Page Template, and Expected Value

Google multiplies the reward by 0.8, 1 or 1.2 depending on report quality across seven dimensions, and only counts what you provided before triage; later additions usually do not change it. Write to a one-page template (title, summary, preconditions, steps, impact, fix suggestion), then estimate hourly expected value as probability x amount / hours. A bigger ceiling can still lose to a small payout once the odds are low enough. Only Resolved is guaranteed to pay; duplicates and invalid reports are common. Every probability and hour count in this post is an assumption, not a statistic.

How a Few Extra Characters Can Hand Someone Your Program: Buffer Overflows for Beginners

A buffer overflow is data written past the space set aside for it, clobbering whatever sits next door. In the demo, one extra character in a name turns is_admin from 0 into 65; the fix is a length check plus a length-limited function. Canaries, ASLR and NX are extra layers, not guarantees, and AddressSanitizer catches an overflow of a standalone array but, in my test, missed one between fields of the same struct.

A Hyper-V Escape Case Study: CVE-2021-28476, From a Guest's Packet to a Host Crash

CVE-2021-28476 is a bug in Hyper-V's virtual network switch driver: a guest VM sends a crafted request, the host code follows an address inside it without checking, and the host crashes. Akamai claims two scenarios, a crash and code execution, but the public PoC only shows the crash; code execution was not publicly demonstrated. CVSS 9.9, patched May 2021. On the bounty table, what was publicly shown maps to the DoS cell (up to $15,000); the L1 guest-escape cell tops out at $250,000 and needs a working RCE exploit, but without an exploit that cell still has $200,000, $100,000 and $50,000 rows.

TEEs and Confidential Computing: Why WhatsApp Put AI in a Room Even Meta Can't See Into

A TEE is a hardware-isolated execution environment meant to keep even the machine's operator from seeing what runs inside; remote attestation lets an outsider verify which program is running in that room. WhatsApp's Private Processing uses it for AI summaries. Meta's bounty page lists code execution (including bypassing code attestation), privilege escalation and VM escape at up to $300,000 each, data leaks at $150,000 and persistence at $10,000, invitation only, with lower caps for internal-only scenarios. Trail of Bits' review found 28 issues, 8 of them high severity, which shows the hard part of TEEs is implementation detail, not the concept.

Bug Bounty for AI Products: What Google, OpenAI, Anthropic and Meta Accept, and What They Pay

AI bounty pages mostly do not pay for what a model says (jailbreaks, hallucinations, harmful output). They pay when a model is made to act against someone else (actions and data theft through indirect prompt injection), and for ordinary bugs in the software around it. Google's AI VRP base rewards run from $100 to $20,000; OpenAI's Safety Bug Bounty ranges are $250 to $7,500 per report. Rules as read on 2026-10-14.