# struct/mms

Modern Memory Safety in C/C++

Repository: https://github.com/struct/mms
Canonical: https://ross.abutalabs.com/products/mms
License: NOASSERTION
License Family: other
Last push: 2016-08-01T04:41:07+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3694, "days_push": 3684, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1219, forks 117 (observed 2026-08-28T04:04:01.693441+00:00)

## What it is
A collection of slides from a Black Hat training course on memory safety in C/C++, covering vulnerability discovery, exploitation, custom memory allocators, and hardening. Originally developed in 2012 and open-sourced by Yahoo in 2016.

## Use cases
- learn memory corruption vulnerability discovery in C/C++
- study browser exploitation techniques
- understand custom memory allocator internals
- learn hardening techniques for C/C++ code
- prepare for security training or exploit development
- study real-world vulnerabilities like iOS goto fail

## When to choose
- you want free educational material on memory safety and exploitation
- you are studying browser or C/C++ vulnerability research
- you want slide-based reference material for security training

## When to avoid
- you need hands-on labs or working exploit code rather than slides
- you need up-to-date content for modern mitigations and tooling
- you need a software tool or library rather than learning material

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: security, reverse-engineering, penetration-testing
- domain: security, tutorials, developer-tools
- platform: cross-platform
- tags: memory-safety, vulnerability-research, exploitation, hardening, slides, training-course, c, cpp

## Member repositories
- struct/mms (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:01.693441+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:16:23.138208+00:00, confidence not recorded.
  - readme: https://github.com/struct/mms (fetched 2026-08-28T04:04:01.693441+00:00, sha 69c8bfc2c2c6)
- Data as of 2026-08-30T08:39:29.467469+00:00.