Inside the Code: The 50-Year Legacy of the Buffer Overflow

The Root of the Problem

In 1996, a glitch in a video game allowed kids to duplicate rare items. In 2014, a bug exposed the encryption keys for most of the internet. Last month, a similar vulnerability was found in the phone in your pocket.

They are all the same bug. Fifty years apart. Still shipping.

This is the story of why memory management is the hardest problem in computing, and why every new language for the last twenty years has been trying to solve it. This matters right now because every AI model you’ve deployed this year runs on infrastructure written in C. CUDA is C. The Linux kernel is C. The entire AI stack sits on top of memory-unsafe foundations.

Watch the full video breakdown here:

The Flat Array Model

Before we get to the bugs, we have to understand the model. In every modern computer, memory is a single flat array. Your variables, your passwords, your encryption keys, the instructions currently being executed—all of it sits in the same array, next to each other, with nothing between them.

Every memory bug is a variation on one question: What happens when code writes past the boundary of where it’s supposed to, into memory that belongs to something else?

C, the language that most of the world’s critical infrastructure is written in, does not check this. You ask for a 64-byte buffer. C gives you a 64-byte buffer. If you write 128 bytes, C writes 128 bytes. The extra 64 go into whatever lives next door. This isn’t a bug in C. This is C’s design philosophy. The programmer is responsible. The language gets out of the way.

That philosophy was correct in 1972. It has been catastrophic ever since.

The History of the Buffer Overflow

Missingno: The Game Boy Era

The earliest buffer overflow most engineers ever encountered was in Pokémon Red. When you talk to a certain NPC, the game stores your name in a temporary buffer that is never cleared. Later, surfing along Cinnabar’s east coast, the game reads that same memory region to decide what wild Pokémon appears. The encounter table is your name. The bytes of your name become Pokémon IDs. This read overflow’s consequences were cosmetic, but the architectural flaw was the same one we see at nation-state scale.

The Morris Worm

Eight years before Missingno, a grad student released a program that infected roughly ten percent of the machines on the early internet. Its propagation method: a stack buffer overflow in the Unix fingerd daemon. The gets function reads input from the network and writes it to a fixed-size buffer without checking the length. The overflow wrote past the end into the function’s return address, jumping to the attacker’s code.

Code Red

Thirteen years later, Microsoft IIS had a buffer overflow in its URL-parsing code. A worm called Code Red exploited it, infecting 359,000 servers in fourteen hours, attempting to DDoS the White House, and costing an estimated $2.6 billion. Same bug. Same pattern.

Heartbleed: A Systemic Failure

In 2014, the industry confronted what C actually costs us with OpenSSL, the library that handles TLS for roughly two-thirds of the web. The TLS heartbeat extension lets two endpoints confirm they’re connected. One side sends a payload with a claimed length; the other echoes it back.

The code did not check that the claimed length matched the actual length. A malicious client could send a one-byte payload claiming it’s 64 kilobytes, and the server would dutifully copy 64 kilobytes of its own memory—including session keys, passwords, and authentication tokens—into the response.

The fix was one line: check the length. But the vulnerability sat unnoticed for 836 days.

The Security Challenge of the AI Era

Why is this still the most common category of exploitable vulnerability in production systems in 2026? AI-powered fuzzing and automated exploit generation. Finding buffer overflows is now cheaper than fixing them.

1. C and C++ are pervasive. They run our operating systems, databases, and network stacks. Rewriting hundreds of millions of lines of critical code is not economically possible overnight.
2. Economic incentives are misaligned. The people who maintain memory-unsafe code are not the people who pay for the breaches. OpenSSL had a two-thousand-dollar budget before Heartbleed.
3. Alternative languages take time. Rust eliminates this class of bug by refusing to compile code that can overflow a buffer. But migrating an industry takes decades.

Takeaways for the Architect

If you ship code, remember these three things:

1. Languages are not neutral. Memory-unsafe languages carry a specific, quantifiable risk. Know what you’re accepting when you pick the tool.
2. Code archaeology is tractable. AI can audit any codebase ever written, but attackers have the same tools. The race between automated exploit discovery and automated patching is the defining security challenge of our era. Right now, discovery is winning.
3. Infrastructure funding is a design decision. The next Heartbleed already exists in a library none of us are paying to maintain. Systems problems have structural solutions.